Intel

Quantum Machines is a start-up focused on creating advanced control and operation systems for quantum computers. The company develops next-generation quantum controllers that translate quantum algorithms into pulse sequences, allowing organizations from various sectors to execute complex quantum algorithms and experiments efficiently. Their approach combines classical engineering disciplines, including electrical, hardware, and software engineering, with quantum computing science and technology. By leveraging expertise in algorithmics, digital signal processing, RF microwave engineering, machine learning, and quantum physics, Quantum Machines aims to enhance the capabilities and accessibility of quantum computing.

Bezoku is a proud member of the Intel Liftoff Program. Learn more from this interview with Intel - https://open.spotify.com/episode/46Tm102BjfV3B7YTngwg6F?si=IbKt_CeXS5CRyLzm8li8RQ

InAccel specializes in developing hardware accelerators that enhance performance on the Amazon AWS F1 platform. By offering accelerators-as-a-service, the company enables customers to significantly accelerate machine learning and analytical workloads on Apache Spark, achieving speed improvements of 2 to 10 times with little to no modifications required in existing application code. This not only boosts performance but also helps reduce cloud costs for users. The company's innovative approach allows organizations to harness advanced computing power efficiently, making it an attractive solution for businesses seeking to optimize their data processing capabilities.

Bria is a visual generative AI company that specializes in creating and modifying visual content through innovative technology. The company offers a Visual Gen AI Platform that provides AI teams access to complete source code and model weights, trained on licensed data. Bria's Visual Creation API Suite features over 30 specialized APIs for various tasks, including image generation and editing. Additionally, the company delivers tailored generation services that align AI models with specific brand assets, ensuring consistency in product imagery and supporting scalable marketing efforts. By addressing legal complexities, privacy issues, and the risks of misinformation, Bria combines authentic and synthetic content to enhance the creative capabilities of marketing teams, designers, and content creators.

AI21 Labs, founded in 2017 and based in Tel Aviv-Yafo, Israel, specializes in developing generative artificial intelligence and large language models. The company creates tools designed to enhance the understanding and generation of natural language, effectively transforming how users read and write. Its AI-driven writing companion captures real intelligence, rephrasing text to convey precise meanings while providing summaries that aid in comprehension. These innovations empower users to analyze and visualize complex information more efficiently, facilitating a deeper understanding of abstract knowledge structures. Through the application of deep learning and computer vision algorithms, AI21 Labs aims to significantly improve the efficiency of reading and writing processes.

87% of AI projects never make it to production. Whether it’s because they are inaccurate, hallucinate, don’t work in real-world contexts, misunderstand real people or that they’re stuck before they start because of the “cold-start problem”, the issue comes down to not enough high-quality use-case specific, privacy-compliant labeled data for training. But real-world human-labeled data is expensive and requires a lot of data science labor – and synthetic data is so low-quality and unrelated to the model’s actual use-case that it doesn’t improve performance much. Nurdle can help. By using real-world human-labeled kernel datasets built for specific use-cases, we produce enhanced synthetic datasets that perform almost as well as human-labeled at the speed and price of synthetic datasets. Contact us for a free data gap analysis showing you what kind of data you’re missing and how much you need for your performance target. Nurdle AI uses real-world custom use case datasets to generate synthetic datasets for accurate LLMs.

Twelve Labs specializes in a multimodal artificial intelligence platform designed to enhance video understanding across various applications. The platform enables businesses and developers to analyze video content by integrating visual and auditory data, facilitating the creation of intelligent video applications. It offers APIs for functions such as searching, generating, and classifying video content, allowing users to deploy solutions on any cloud, customize models, and fine-tune with their own data. Twelve Labs serves diverse industries, including technology, media, entertainment, and security, empowering clients to harness complex video information for a range of downstream tasks.

Hugging Face, Inc. is an open-source platform provider specializing in machine learning technologies, founded in 2016 and headquartered in New York City. The company focuses on democratizing machine learning by facilitating collaboration on models, datasets, and applications within a community-driven environment. Hugging Face offers tools and services that allow users to create, discover, and collaborate on machine learning projects. In addition to its community platform, the company provides paid computing and enterprise solutions aimed at accelerating development processes. Through its commitment to open-source practices, Hugging Face supports users in advancing the field of machine learning.

MDI Health is a prominent provider of medication management solutions that utilizes artificial intelligence to enhance and personalize medication therapy. The company's advanced platform analyzes extensive pharmacological and medical data to identify patients at high risk for drug-related issues. MDI Health generates evidence-based recommendations aimed at mitigating these risks, which is particularly beneficial for payors and value-based providers. By employing its technology, these entities can prevent medication-related problems, optimize deprescribing efforts, and significantly reduce overall healthcare costs, achieving substantial savings per patient per year. MDI Health's decision support system, powered by big data and machine learning algorithms, continually refines its predictions and recommendations, allowing healthcare professionals to detect potential medication-related complications early in the treatment process.

Alkymi, Inc. is a New York-based company that specializes in developing a data inbox designed to manage unstructured data for enterprises. Founded in 2017, Alkymi provides an end-to-end solution that ingests and normalizes various forms of unstructured data, including documents, emails, PDFs, images, and XML. By leveraging advanced machine learning and automation, the platform empowers users in sectors such as financial services, compliance, human resources, and customer relationship management to convert raw data into actionable insights. This capability enhances decision-making processes, allowing organizations to respond swiftly to market changes and improve operational efficiency. Notable clients include leading firms in the private markets sector, which utilize Alkymi's technology to better scale investments and enhance client service.

Prophesee SA, founded in 2014 and based in Paris, France, specializes in advanced machine vision sensors and systems through its innovative neuromorphic vision technology. Originally known as Chronocam SAS, the company rebranded in 2018 to reflect its pioneering approach to computer vision, which mimics the human eye and brain by detecting essential motion information rather than capturing a series of images. This unique Metavision® method enables Prophesee to achieve exceptional performance metrics, including high-speed time resolution, dynamic range, and significant reductions in data volume and power consumption. Its technology caters to a diverse range of industries, including biomedical, gaming, industrial automation, mobile devices, robotics, security, and automotive applications. Prophesee's team of over 100 engineers holds more than 50 international patents and has established a global presence with offices in cities such as Grenoble, Shanghai, Tokyo, and Silicon Valley, supported by a network of prominent investors.

Inworld AI is an AI framework powering massive consumer applications. Inworld is funded by VCs including Lightspeed, Stanford University, Kleiner Perkins, Founders Fund, Section 32, M12, Intel Capital, CRV, Bitkraft, and Meta, as well as a team of all-star angels including corporate executives, top VC funds' partners, scouts, and industry veterans.

Opaque is a startup that helps organizations analyze encrypted data in the cloud. Opaque Systems offers a service for secure data analytics and machine learning in the cloud. Opaque commercializes the open source MC2 Platform, which leverages a novel combination of two key technologies layered on top of state-of-the-art cloud security—secure hardware enclaves and cryptographic fortification.

Syntiant develops advanced neuromorphic semiconductors that facilitate the transition of artificial intelligence and machine learning from cloud environments to edge devices. The company's innovative chip solutions integrate deep learning with semiconductor design to create ultra-low-power, high-performance deep neural network processors. These processors are tailored for always-on applications in battery-powered devices, including smartphones, smart speakers, earbuds, hearing aids, and laptops. By enabling the deployment of AI technology in various sensor, voice, and video applications, Syntiant empowers developers to enhance the functionality of nearly any battery-operated product.

Ponder Data Inc. provides enterprise-ready tools for rapid, flexible experimentation with data at scale. Ponder makes data teams more productive by enabling them to get insights faster with tools they know and love.

MinIO, Inc. is a developer of a high-performance, open-source object storage server that is compatible with Amazon S3 APIs. Founded in 2014 and based in Palo Alto, California, the company specializes in providing a Kubernetes-native object store optimized for cloud-native workloads. MinIO's platform is designed to support the growing demands of unstructured data, allowing enterprises to manage various workloads such as machine learning, analytics, and data backup from a single solution. It enables application developers to create their own cloud storage systems for diverse data types, including images, videos, and log files, while ensuring portability across both public and private cloud environments. Additionally, MinIO offers a public play server that allows developers and system administrators to familiarize themselves with S3-compatible object storage.

Anyscale, Inc. is a technology company based in Berkeley, California, founded by the creators of the open-source project Ray. It specializes in developing distributed programming platforms and tools that simplify the creation and scaling of artificial intelligence applications. Anyscale's software enables developers and machine learning engineers to effortlessly scale their applications from local environments to the cloud, eliminating the need for complex infrastructure. The company's framework allows users of varying skill levels to build and deploy compute-intensive applications efficiently, facilitating faster and more cost-effective market entry for AI products. Anyscale aims to enhance the end-to-end AI lifecycle, making it accessible for organizations to leverage AI technologies.

True Fit Corporation operates a footwear and apparel personalization platform that leverages a vast database of fit and style data to enhance the online shopping experience. Founded in 2005 and based in Woburn, Massachusetts, the company offers services designed to help consumers, brands, and retailers navigate the $1 trillion footwear and apparel market. Its Genome compiles extensive, attribute-rich data to enable retailers to provide personalized fit ratings and size recommendations through its Confidence Engine, significantly boosting revenue. Additionally, True Fit's Discovery Engine allows retailers to curate tailored collections for individual consumers, while the True Insight platform delivers valuable insights for optimizing marketing and product development. The company, previously known as True Apparel Company, has formed strategic partnerships, including one with Bamboo Rose, and is supported by a team of seasoned professionals from the fashion, retail, and technology sectors.

LandingAI empowers customers to harness the business value of AI by providing enablement tools and transformation programs. One of the company’s core products is LandingLens, an end-to-end AI platform specifically designed for industrial customers to build, deploy and scale AI-powered visual inspection solutions. Founded by one of the most recognizable names in AI, Dr. Andrew Ng, (founding lead of the Google Brain team and former Chief Scientist at Baidu), and a world class team, LandingAI is uniquely positioned to help companies across the globe successfully move their AI projects from proof-of-concept to full-scale production. Additional information is available at: www.landing.ai.

NeuroBlade, founded in 2017 and headquartered in Hod-Hasharon, Israel, specializes in the development and manufacturing of artificial intelligence chips designed for the inference phase in both data centers and end-devices. The company's innovative products aim to eliminate memory bottlenecks and support various AI topologies, thereby enhancing analytical query performance. NeuroBlade's proprietary computational memory technology combines extensive expertise in hardware, software, and algorithms to address the growing demand for efficient data analytics infrastructure. By focusing on reducing costs and power consumption, the company aims to facilitate faster insights for businesses navigating digital transformation. NeuroBlade also has operational presence in Taipei, Taiwan, and Palo Alto, California.

Motivo Inc. is a technology company based in Palo Alto, California, founded in 2015. It specializes in developing software solutions that leverage proprietary computational technology, including graph analytics, artificial intelligence, and machine learning, specifically tailored for the semiconductor integrated circuit (IC) industry. Motivo's innovative approach dramatically enhances yield improvement through the use of terascale data analytics, enabling fabless design companies to optimize chip design and accelerate the introduction of new products. By focusing on explainable and interpretable AI and ML technologies, Motivo provides valuable insights that help improve manufacturing outcomes in the semiconductor sector.

Opaque is a startup that helps organizations analyze encrypted data in the cloud. Opaque Systems offers a service for secure data analytics and machine learning in the cloud. Opaque commercializes the open source MC2 Platform, which leverages a novel combination of two key technologies layered on top of state-of-the-art cloud security—secure hardware enclaves and cryptographic fortification.

SambaNova Systems, based in Palo Alto, California, develops a technology platform that integrates hardware and software solutions for artificial intelligence and machine learning applications. Founded in 2017, the company focuses on creating systems optimized for data processing, model training, and analytics, enabling high-performance execution of machine learning tasks. SambaNova's technology is designed to be flexible and scalable, catering to various sectors such as healthcare, finance, and autonomous vehicles. By enhancing the efficiency of AI-powered algorithms, SambaNova aims to support organizations in leveraging advanced data analytics effectively.

Iris.TV, Inc. is a cloud-based platform that enhances video programming for publishers and content owners by facilitating personalized video streaming and improving audience engagement across multiple devices. Founded in 2009 and headquartered in Los Angeles, with an office in New York, the company offers a suite of tools that includes Adaptive Stream for real-time personalized streaming, Asset IQ for automated data structuring and optimization, and IRIS Vision for business intelligence and programming management. By integrating artificial intelligence and machine learning, Iris.TV automates the delivery of customized content based on audience preferences and behaviors. The platform also provides data connectivity to improve viewing experiences and advertising outcomes, enabling scalable solutions for contextual ad targeting, verification, and video recommendations, thereby maximizing video consumption while simplifying operational processes for web, mobile, and OTT distribution.

cnvrg.io is a comprehensive data science platform that assists enterprises in managing and scaling artificial intelligence (AI) initiatives. It offers a collaborative end-to-end solution designed to accelerate innovation and facilitate the development of impactful machine learning models. The platform supports a wide range of industries, including finance, gaming, automotive, manufacturing, and e-commerce, enabling data scientists to tackle complex challenges and create intelligent systems. cnvrg.io’s flexible code-first platform allows organizations to run projects on-premise or in the cloud, effectively organizing every stage of the data science workflow—from research and information collection to coding and model optimization. This unified approach empowers enterprises to manage, build, and automate the entire machine learning lifecycle, streamlining the transition from research to production.

SigOpt, Inc. operates an advanced optimization platform designed to enhance the performance of machine learning models, A/B tests, and physical experiments. Founded in 2014 and based in San Francisco, California, the company offers a REST API that integrates seamlessly into existing machine learning workflows. SigOpt's platform employs a black-box optimization approach, allowing users to input parameter spaces and performance metrics without needing to share underlying data. By continuously analyzing model performance, SigOpt refines its suggestions for optimal hyper-parameter configurations, thereby accelerating the model development process and improving results in a cost-effective manner. As of late 2020, SigOpt functions as a subsidiary of Intel Corporation.

Panoply Ltd. offers a cloud-based data analytics platform designed to simplify and automate data management tasks. Its product, Panoply.io, provides an end-to-end solution that streamlines processes from data sourcing to analysis, significantly enhancing the efficiency of analysts and data scientists. The platform automates critical functions such as data modeling, normalization, and cleanup, while also managing infrastructure setup, server launching, scaling, and backup. Additionally, it supports real-time data transformations, flexible schemas, and advanced data privacy and security measures. By leveraging machine learning and natural language processing, Panoply.io reduces the complexity associated with data preparation and infrastructure management, allowing users to focus on analysis rather than technical details. Founded in 2015, Panoply is headquartered in Tel Aviv, Israel, with an additional office in San Francisco, California.

Anyscale, Inc. is a technology company based in Berkeley, California, founded by the creators of the open-source project Ray. It specializes in developing distributed programming platforms and tools that simplify the creation and scaling of artificial intelligence applications. Anyscale's software enables developers and machine learning engineers to effortlessly scale their applications from local environments to the cloud, eliminating the need for complex infrastructure. The company's framework allows users of varying skill levels to build and deploy compute-intensive applications efficiently, facilitating faster and more cost-effective market entry for AI products. Anyscale aims to enhance the end-to-end AI lifecycle, making it accessible for organizations to leverage AI technologies.

Matroid is a computer vision company that provides a studio to create, combine, and use computer vision detectors, without programming. Its platform allows users to create computer vision detectors that recognize the people, events, and objects they are interested in, monitor television streams in real-time, send notifications about custom events on security cameras, and search visual media. Matroid was founded by Reza Zadeh in 2016 and is headquartered in Palo Alto, California.

ProteanTecs Ltd. is a software company that specializes in a cloud-based platform designed to enhance the performance and reliability of electronic systems. Founded in 2017 and headquartered in Haifa, Israel, with additional offices in Tel Aviv, Santa Clara, and Bridgewater, the company utilizes data generated by chip-embedded agents and machine learning to predict faults before they lead to failures. Its solutions deliver valuable insights across the entire value chain, benefiting chip vendors, system vendors, and digital service providers. ProteanTecs offers various capabilities, including predictive maintenance, yield improvement, and performance tuning, aimed at reducing defect parts per million (DPPM) and enhancing overall electronic performance and quality.

Verta Inc. is a software infrastructure company founded in 2018 and based in Palo Alto, California, specializing in the management and deployment of data science and machine learning (ML) models. The Verta Model Delivery & Operations Platform allows users to package and deliver any ML model quickly, utilizing best practices in DevOps for continuous integration, delivery, operations, and monitoring. This technology streamlines workflows for enterprise data science teams, facilitating faster deployment of models into production while ensuring real-time monitoring of model performance and health. Verta's solutions enable data scientists to manage the entire lifecycle of their models, enhancing collaboration and operational efficiency.

Common Sense Machines develops an artificial intelligence-based platform that translates photos and videos into 3D simulations. The company aims to harness the adaptability of human-like learning combined with the efficiency of machine processing to enable one-shot 3D perception and manipulation of everyday objects. This technology allows users to quickly and effectively create game-engine-ready assets, streamlining their creative processes and enhancing productivity in various applications.

Anodot Ltd. is a provider of a SaaS-based automated business analytics and anomaly detection platform that specializes in identifying and analyzing data anomalies in real-time. Founded in 2014 and headquartered in Ra'anana, Israel, with additional offices in London and Sydney, Anodot’s platform utilizes advanced machine learning algorithms to continuously monitor a wide range of business parameters, allowing for the swift detection of outliers and the generation of actionable insights. This capability enables data-centric companies across various industries, including eCommerce, fintech, and ad tech, to make informed decisions quickly, thereby reducing operational costs and enhancing customer experiences. Anodot's solutions are offered through a network of global resellers, and the company has established strategic collaborations to further enhance its service offerings.

FogHorn is a developer of edge intelligence software that focuses on industrial and commercial Internet of Things (IoT) applications. Its platform enhances on-premises edge environments with advanced analytics and machine learning capabilities, facilitating applications for monitoring, diagnostics, machine performance optimization, and proactive maintenance. The software is designed for a variety of sectors, including manufacturing, energy, healthcare, and transportation, and is compatible with major IoT platforms in public cloud environments, such as AWS and Azure. This integration enables organizations to leverage real-time, industrial-grade analytics for informed decision-making, ultimately driving operational efficiency and profitability.

SambaNova Systems, based in Palo Alto, California, develops a technology platform that integrates hardware and software solutions for artificial intelligence and machine learning applications. Founded in 2017, the company focuses on creating systems optimized for data processing, model training, and analytics, enabling high-performance execution of machine learning tasks. SambaNova's technology is designed to be flexible and scalable, catering to various sectors such as healthcare, finance, and autonomous vehicles. By enhancing the efficiency of AI-powered algorithms, SambaNova aims to support organizations in leveraging advanced data analytics effectively.

Anyscale, Inc. is a technology company based in Berkeley, California, founded by the creators of the open-source project Ray. It specializes in developing distributed programming platforms and tools that simplify the creation and scaling of artificial intelligence applications. Anyscale's software enables developers and machine learning engineers to effortlessly scale their applications from local environments to the cloud, eliminating the need for complex infrastructure. The company's framework allows users of varying skill levels to build and deploy compute-intensive applications efficiently, facilitating faster and more cost-effective market entry for AI products. Anyscale aims to enhance the end-to-end AI lifecycle, making it accessible for organizations to leverage AI technologies.

Prophesee SA, founded in 2014 and based in Paris, France, specializes in advanced machine vision sensors and systems through its innovative neuromorphic vision technology. Originally known as Chronocam SAS, the company rebranded in 2018 to reflect its pioneering approach to computer vision, which mimics the human eye and brain by detecting essential motion information rather than capturing a series of images. This unique Metavision® method enables Prophesee to achieve exceptional performance metrics, including high-speed time resolution, dynamic range, and significant reductions in data volume and power consumption. Its technology caters to a diverse range of industries, including biomedical, gaming, industrial automation, mobile devices, robotics, security, and automotive applications. Prophesee's team of over 100 engineers holds more than 50 international patents and has established a global presence with offices in cities such as Grenoble, Shanghai, Tokyo, and Silicon Valley, supported by a network of prominent investors.

Healx is a biotechnology company specializing in the development of treatments for rare diseases through the use of generative artificial intelligence. By employing advanced AI and machine learning technologies, Healx focuses on identifying potential drug candidates and repurposing existing medications for new therapeutic applications. This approach takes advantage of the established safety profiles of known drugs, thereby minimizing the risks and costs typically associated with creating new pharmaceuticals from scratch. Through its innovative platform, Healx aims to accelerate the development of novel treatments, addressing the unmet medical needs of patients suffering from rare diseases worldwide.

DataRobot, Inc. develops an automated machine learning platform that empowers enterprises to create predictive models efficiently. Its offerings include DataRobot Cloud, a predictive analytics solution available both in the cloud and on-premises, and DataRobot MLOps, which facilitates the deployment, monitoring, and management of machine learning models across organizations. The company also provides DataRobot Enterprise, featuring flexible deployment options, governance, and training services, along with packages designed to accelerate artificial intelligence projects. DataRobot serves a diverse range of industries, including banking, healthcare, manufacturing, and marketing, catering to business analysts, data scientists, and IT professionals. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot has expanded its operations globally, with offices in major cities such as London, Paris, and Tokyo, and maintains strategic partnerships to enhance its offerings.

Kyndi, Inc. specializes in developing an explainable artificial intelligence (XAI) platform that serves government, financial services, and healthcare sectors. The company's Kyndi AI Platform employs machine learning to facilitate business regulation and provides auditable AI systems tailored for enterprises and government entities. Kyndi's solutions enhance strategy, planning, compliance, and research operations. Additionally, the platform features a Natural Language Search capability that enables organizations to swiftly and accurately extract answers from unstructured, text-based data. Founded in 2014, Kyndi is headquartered in San Mateo, California, with an additional office in Washington, D.C. Its technology aims to boost the productivity of knowledge workers by enabling more efficient information gathering and analysis, allowing clients to make informed decisions and seize opportunities effectively.

NeuroBlade, founded in 2017 and headquartered in Hod-Hasharon, Israel, specializes in the development and manufacturing of artificial intelligence chips designed for the inference phase in both data centers and end-devices. The company's innovative products aim to eliminate memory bottlenecks and support various AI topologies, thereby enhancing analytical query performance. NeuroBlade's proprietary computational memory technology combines extensive expertise in hardware, software, and algorithms to address the growing demand for efficient data analytics infrastructure. By focusing on reducing costs and power consumption, the company aims to facilitate faster insights for businesses navigating digital transformation. NeuroBlade also has operational presence in Taipei, Taiwan, and Palo Alto, California.

BabbleLabs, Inc. specializes in developing speech enhancement and noise removal software aimed at improving communication in critical environments. The company's offerings include Clear Cloud, an API-based technology that eliminates unwanted noise from voice-sensitive projects; Clear Edge, a low-latency embedded solution for smart devices; Clear Command, which facilitates voice control and command recognition; and Clear Analytics, designed to extract actionable insights from speech streams. BabbleLabs addresses a variety of applications, including smartphones, business conferencing, customer service, automotive, and public safety. Founded in 2017 and headquartered in Campbell, California, BabbleLabs leverages advancements in speech science, deep learning, and computational processing to enhance speech quality and intelligibility, thereby fostering better interactions between humans and machines.

LandingAI empowers customers to harness the business value of AI by providing enablement tools and transformation programs. One of the company’s core products is LandingLens, an end-to-end AI platform specifically designed for industrial customers to build, deploy and scale AI-powered visual inspection solutions. Founded by one of the most recognizable names in AI, Dr. Andrew Ng, (founding lead of the Google Brain team and former Chief Scientist at Baidu), and a world class team, LandingAI is uniquely positioned to help companies across the globe successfully move their AI projects from proof-of-concept to full-scale production. Additional information is available at: www.landing.ai.

ProteanTecs Ltd. is a software company that specializes in a cloud-based platform designed to enhance the performance and reliability of electronic systems. Founded in 2017 and headquartered in Haifa, Israel, with additional offices in Tel Aviv, Santa Clara, and Bridgewater, the company utilizes data generated by chip-embedded agents and machine learning to predict faults before they lead to failures. Its solutions deliver valuable insights across the entire value chain, benefiting chip vendors, system vendors, and digital service providers. ProteanTecs offers various capabilities, including predictive maintenance, yield improvement, and performance tuning, aimed at reducing defect parts per million (DPPM) and enhancing overall electronic performance and quality.

SambaNova Systems, based in Palo Alto, California, develops a technology platform that integrates hardware and software solutions for artificial intelligence and machine learning applications. Founded in 2017, the company focuses on creating systems optimized for data processing, model training, and analytics, enabling high-performance execution of machine learning tasks. SambaNova's technology is designed to be flexible and scalable, catering to various sectors such as healthcare, finance, and autonomous vehicles. By enhancing the efficiency of AI-powered algorithms, SambaNova aims to support organizations in leveraging advanced data analytics effectively.

Aerial's technology leverages existing infrastructure to recognize activity without the need for cameras, sensors or wearables. Aerial's patented technology analyzes distortions and fluctuations in the existing wireless signals and uses AI to interpret them and classify human activities.

DataRobot, Inc. develops an automated machine learning platform that empowers enterprises to create predictive models efficiently. Its offerings include DataRobot Cloud, a predictive analytics solution available both in the cloud and on-premises, and DataRobot MLOps, which facilitates the deployment, monitoring, and management of machine learning models across organizations. The company also provides DataRobot Enterprise, featuring flexible deployment options, governance, and training services, along with packages designed to accelerate artificial intelligence projects. DataRobot serves a diverse range of industries, including banking, healthcare, manufacturing, and marketing, catering to business analysts, data scientists, and IT professionals. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot has expanded its operations globally, with offices in major cities such as London, Paris, and Tokyo, and maintains strategic partnerships to enhance its offerings.

Syntiant develops advanced neuromorphic semiconductors that facilitate the transition of artificial intelligence and machine learning from cloud environments to edge devices. The company's innovative chip solutions integrate deep learning with semiconductor design to create ultra-low-power, high-performance deep neural network processors. These processors are tailored for always-on applications in battery-powered devices, including smartphones, smart speakers, earbuds, hearing aids, and laptops. By enabling the deployment of AI technology in various sensor, voice, and video applications, Syntiant empowers developers to enhance the functionality of nearly any battery-operated product.

The IFDAQ (International Fashion Digital Automated Quantification) is the most advanced and powerful AI system that provides quantitative market values for anyone and everything in the fashion and luxury industry. The IFDAQ values come from an intelligent ecosystem that creates a high-dimensional virtual image of the fashion industry and measures the effective market value based on the relative performance in the industry. Unprecedented scientific in-depth analytics and infinite insights tell you the real market and benchmark value, power, trend and influence of everything that counts in fashion: from the fashion group to their brands ad campaign, from the the fashion model to the fashion magazine – right down to the value of a single catwalk run or the fragment of an image. IFDAQ focuses on the development of artificial intelligence solutions to obtain analytics and research about the fashion industry. IFDAQ was a research project that started in 2008 and turned into a startup venture in 2016. IFDAQ is founded by Daryl de Jori in 2008 and is located in Vienna, Wien, Austria.

Vertex.AI is a Seattle-based company that develops a platform for visual intelligence and deep learning capabilities applicable to a range of devices, from low-power mobile processors to full-size GPUs. Founded in 2015, Vertex.AI offers two main products: Vertex Vision, which enables real-time detection, classification, tracking, and identification of objects and visual elements, and Vertex Vantage, a software platform that enhances the deep learning capabilities of various hardware. The company's open-source software framework leverages advanced deep neural networks, ensuring compatibility with existing open-source tools. Originally known as 1026 Labs, Inc., Vertex.AI operates as a subsidiary of Movidius, Inc. since 2018.

Lumiata Inc. specializes in predictive health analytics tailored for risk-bearing organizations, including hospital networks and insurance carriers. Founded in 2013 and based in San Mateo, California, the company has developed a medical graph that organizes and analyzes diverse healthcare data, enabling real-time predictive analytics. Its flagship product, The Lumiata Risk Matrix, provides personalized predictions regarding individual health changes, supported by a chain of medical reasoning. By leveraging over 120 million patient records and proprietary clinical knowledge, Lumiata's machine learning tools empower healthcare providers and payers to enhance decision-making, manage costs, and improve patient care. The company serves a range of clients, including payers, population health organizations, and digital health companies, facilitating applications in underwriting and care management while prioritizing member privacy.

Syntiant develops advanced neuromorphic semiconductors that facilitate the transition of artificial intelligence and machine learning from cloud environments to edge devices. The company's innovative chip solutions integrate deep learning with semiconductor design to create ultra-low-power, high-performance deep neural network processors. These processors are tailored for always-on applications in battery-powered devices, including smartphones, smart speakers, earbuds, hearing aids, and laptops. By enabling the deployment of AI technology in various sensor, voice, and video applications, Syntiant empowers developers to enhance the functionality of nearly any battery-operated product.

Avaamo is a deep-learning software company based in Los Altos, California, founded in 2014. It specializes in developing a conversational artificial intelligence platform that automates customer service and enhances employee experiences. The platform integrates machine learning, conversation design, and legacy enterprise workflows to streamline the deployment of enterprise bots and virtual assistants. Avaamo's mobile application consolidates communications into one secure interface and is available on both Android and iOS platforms. The company has established a strategic partnership with Tech Mahindra to further its technological advancements in conversational computing.

Reconova is a prominent artificial intelligence company based in China, specializing in advanced visual perception solutions through innovative computer vision and machine learning technologies. With a core product development team primarily composed of experienced professionals from Huawei, the company excels in end-to-end product design and delivery. Reconova's offerings encompass a comprehensive range of solutions, from frontend smart hardware to backend data analysis, tailored for various sectors including smart retail, smart home, and intelligent security. The company has successfully achieved large-scale production and application of its technologies, and it collaborates strategically with well-known enterprises such as Alibaba, JD, Midea, Xiaomi, and others. Its focus on facial recognition algorithms and their commercial applications positions Reconova as a key player in enhancing operational efficiency and safety across multiple industries.

Gamalon, Inc. specializes in statistical machine learning solutions, focusing on Bayesian probabilistic programming languages. Founded in 2013 and based in Boston, Massachusetts, the company has developed an AI-driven machine intelligence technology that automates the writing and rewriting of its own Bayesian programs. This innovation allows businesses to convert unstructured text into structured data efficiently, enabling e-commerce and manufacturing sectors to train their systems with minimal data while achieving accuracy comparable to extensively trained neural networks. Additionally, Gamalon offers a conversational machine intelligence platform that interprets and summarizes customer messages, facilitating data-driven decision-making and enhancing customer experience.

LegUp Computing Inc. is a Toronto-based company that develops a cloud platform enabling software developers to program, deploy, scale, and manage field-programmable gate array (FPGA) devices. Founded in 2015 by a team including Dr. Andrew Canis and Professor Jason Anderson, the platform originated from research at the University of Toronto and focuses on providing a novel programming model for threaded C/C++ software. This model allows for efficient processing of low-latency database, real-time analytics, and machine learning workloads by leveraging FPGA devices connected to high-bandwidth networks. LegUp Computing aims to facilitate the acceleration of high-performance applications, thereby enhancing the capabilities of developers working with cloud-based and embedded compute systems. The company operates as a subsidiary of Microchip Technology Incorporated.

Prophesee SA, founded in 2014 and based in Paris, France, specializes in advanced machine vision sensors and systems through its innovative neuromorphic vision technology. Originally known as Chronocam SAS, the company rebranded in 2018 to reflect its pioneering approach to computer vision, which mimics the human eye and brain by detecting essential motion information rather than capturing a series of images. This unique Metavision® method enables Prophesee to achieve exceptional performance metrics, including high-speed time resolution, dynamic range, and significant reductions in data volume and power consumption. Its technology caters to a diverse range of industries, including biomedical, gaming, industrial automation, mobile devices, robotics, security, and automotive applications. Prophesee's team of over 100 engineers holds more than 50 international patents and has established a global presence with offices in cities such as Grenoble, Shanghai, Tokyo, and Silicon Valley, supported by a network of prominent investors.

True Fit Corporation operates a footwear and apparel personalization platform that leverages a vast database of fit and style data to enhance the online shopping experience. Founded in 2005 and based in Woburn, Massachusetts, the company offers services designed to help consumers, brands, and retailers navigate the $1 trillion footwear and apparel market. Its Genome compiles extensive, attribute-rich data to enable retailers to provide personalized fit ratings and size recommendations through its Confidence Engine, significantly boosting revenue. Additionally, True Fit's Discovery Engine allows retailers to curate tailored collections for individual consumers, while the True Insight platform delivers valuable insights for optimizing marketing and product development. The company, previously known as True Apparel Company, has formed strategic partnerships, including one with Bamboo Rose, and is supported by a team of seasoned professionals from the fashion, retail, and technology sectors.

Rubikloud, based in Toronto, Canada, specializes in retail intelligence platforms that leverage machine learning and big data to enhance decision-making for retailers. The company's cloud-native machine learning platform and its two main applications, Promotion Manager and Customer LifeCycle Manager, automate promotional planning and loyalty-driven marketing for large-scale retailers. By analyzing data from both online and offline consumer behaviors, Rubikloud helps retailers gain valuable insights into customer preferences, including product affinity, price sensitivity, response predictions, and demand forecasts. With a client base that includes multi-billion-dollar retail brands across North America, Europe, and Asia, Rubikloud aims to simplify the complex processes of retail marketing through advanced AI-driven solutions.

Lumiata Inc. specializes in predictive health analytics tailored for risk-bearing organizations, including hospital networks and insurance carriers. Founded in 2013 and based in San Mateo, California, the company has developed a medical graph that organizes and analyzes diverse healthcare data, enabling real-time predictive analytics. Its flagship product, The Lumiata Risk Matrix, provides personalized predictions regarding individual health changes, supported by a chain of medical reasoning. By leveraging over 120 million patient records and proprietary clinical knowledge, Lumiata's machine learning tools empower healthcare providers and payers to enhance decision-making, manage costs, and improve patient care. The company serves a range of clients, including payers, population health organizations, and digital health companies, facilitating applications in underwriting and care management while prioritizing member privacy.

Mcity is an autonomous vehicle research center located on the University of Michigan campus in Ann Arbor, Michigan. It serves as a unique urban test facility that facilitates collaboration among industry, government, and academia to enhance transportation safety, sustainability, and accessibility. Mcity combines early-stage research with real-world testing and on-road vehicle deployments to validate and advance new technologies in the mobility sector. The center is staffed by renowned researchers and aims to contribute to the development of safer and more efficient transportation systems for the benefit of society.

Bigstream specializes in hyperacceleration technology aimed at enhancing the performance of big data platforms, particularly Apache Spark. The company achieves substantial performance improvements for big data and machine learning workloads through advanced compiler technology and seamless integration of hardware accelerators, such as FPGAs. Notably, Bigstream's solution does not require modifications to application code or the use of special APIs, making implementation straightforward for users. The software is designed to automatically accelerate compute-intensive tasks and facilitate efficient in-line processing of data in motion, allowing users to gain quick insights and enriched analytics while maintaining a low total cost of ownership.

FogHorn is a developer of edge intelligence software that focuses on industrial and commercial Internet of Things (IoT) applications. Its platform enhances on-premises edge environments with advanced analytics and machine learning capabilities, facilitating applications for monitoring, diagnostics, machine performance optimization, and proactive maintenance. The software is designed for a variety of sectors, including manufacturing, energy, healthcare, and transportation, and is compatible with major IoT platforms in public cloud environments, such as AWS and Azure. This integration enables organizations to leverage real-time, industrial-grade analytics for informed decision-making, ultimately driving operational efficiency and profitability.

Matroid is a computer vision company that provides a studio to create, combine, and use computer vision detectors, without programming. Its platform allows users to create computer vision detectors that recognize the people, events, and objects they are interested in, monitor television streams in real-time, send notifications about custom events on security cameras, and search visual media. Matroid was founded by Reza Zadeh in 2016 and is headquartered in Palo Alto, California.

Panoply Ltd. offers a cloud-based data analytics platform designed to simplify and automate data management tasks. Its product, Panoply.io, provides an end-to-end solution that streamlines processes from data sourcing to analysis, significantly enhancing the efficiency of analysts and data scientists. The platform automates critical functions such as data modeling, normalization, and cleanup, while also managing infrastructure setup, server launching, scaling, and backup. Additionally, it supports real-time data transformations, flexible schemas, and advanced data privacy and security measures. By leveraging machine learning and natural language processing, Panoply.io reduces the complexity associated with data preparation and infrastructure management, allowing users to focus on analysis rather than technical details. Founded in 2015, Panoply is headquartered in Tel Aviv, Israel, with an additional office in San Francisco, California.

Element AI Inc. is an artificial intelligence company that provides solutions for organizations seeking to leverage AI and machine learning technologies. Founded in 2016 and headquartered in Montreal, Canada, with an additional office in Toronto, the company operates an AI as a Service (AIaaS) platform, allowing businesses to launch and incubate AI solutions in collaboration with large corporations. Element AI focuses on delivering AI software products that enhance decision-making and operational efficiency across various sectors, including insurance, banking, manufacturing, logistics, retail, and consumer packaged goods. The company emphasizes research and development, maintaining strong ties to academia, and engages in policy discussions regarding the societal impacts of technology. Through its offerings, Element AI aims to help clients unlock insights, accelerate the adoption of AI, and improve overall business performance with explainable solutions.

CognitiveScale, Inc. specializes in developing augmented intelligence software tailored for financial services, healthcare, and digital commerce sectors. Utilizing its Cortex platform, the company enables enterprises to integrate artificial intelligence and blockchain technology into their operations. Key offerings include Cortex 5, which facilitates the design and management of enterprise-grade AI systems, the AI marketplace for collaborative problem-solving, and Cortex Certifai, which helps identify and manage risks in automated decision-making. Additionally, CognitiveScale provides AI lifecycle management tools and systems such as ENGAGE for enhanced customer engagement and AMPLIFY for intelligent process automation. The company has formed strategic partnerships with prominent firms such as IBM, Microsoft, and Deloitte, serving Global 500 clients worldwide. Founded in 2013 and headquartered in Austin, Texas, with additional offices in New York, London, and Hyderabad, CognitiveScale is recognized for its contributions to responsible AI and is backed by notable investors, including Norwest Venture Partners and Intel Capital.

Falcon Computing, founded in 2014 by Dr. Jason Cong, specializes in providing technology solutions for data scientists and software developers in sectors such as Genomics, Machine Learning, Finance, and Computer Vision. The company focuses on simplifying the adoption of heterogeneous accelerated computing through automated compilation tools and runtime management solutions. Its innovative platform allows users to convert C/C++ code into optimized FPGA implementations, enhancing performance, energy efficiency, and productivity. Headquartered in Santa Clara, California, with additional offices in Los Angeles and Beijing, Falcon Computing aims to support companies in integrating advanced acceleration technologies into their data center infrastructures, ultimately making cloud computing more energy-efficient.

Mobileye is a leader in the development and deployment of advanced driver-assistance systems (ADAS) and autonomous driving technologies. The company specializes in creating a comprehensive portfolio of solutions that include both software and hardware components, designed to enhance vehicle safety and pave the way for future autonomous driving capabilities. Its offerings range from driver assistance tools to fully autonomous systems, such as Mobileye Chauffeur and Mobileye Drive. In addition to its core technologies, Mobileye provides data services aimed at optimizing maintenance operations and improving mobility infrastructure. With a strong foundation in computer vision, machine learning, mapping, and data analysis, Mobileye plays a pivotal role in shaping the future of transportation.

Fortscale Security, Inc., founded in 2012 and based in San Francisco, California, specializes in developing security software focused on user and entity behavior analytics (UEBA). The company offers an innovative platform designed to detect malicious user behavior and insider threats by utilizing machine learning to analyze user actions in real-time. Fortscale's system automates the delivery and application of behavioral analytics, embedding it within existing security infrastructure to enhance decision-making and identify high-risk activities swiftly. By processing data collected from security devices, Fortscale's technology provides organizations with critical visibility and insights necessary to uncover sophisticated attacks and improve overall security effectiveness. The company is backed by several investors, including Intel Capital and Blumberg Capital.

Mighty AI, Inc. operates a Training Data as a Service platform that assists businesses in acquiring the datasets necessary to train and enhance their computer vision and natural language models. The company's platform features a global community of individuals who perform micro tasks, such as labeling objects in images and conducting sentiment analysis on text. By leveraging its proprietary machine learning technology and a comprehensive suite of annotation software, Mighty AI ensures high accuracy and scalability in the data it provides. Founded in 2014 and headquartered in Seattle, Washington, with an additional office in Detroit, Michigan, Mighty AI serves customers worldwide and specializes in delivering training data for companies developing computer vision models, particularly for autonomous vehicles. The company was previously known as Spare5 Inc. and became a subsidiary of Uber Technologies, Inc. in 2019.

Prophesee SA, founded in 2014 and based in Paris, France, specializes in advanced machine vision sensors and systems through its innovative neuromorphic vision technology. Originally known as Chronocam SAS, the company rebranded in 2018 to reflect its pioneering approach to computer vision, which mimics the human eye and brain by detecting essential motion information rather than capturing a series of images. This unique Metavision® method enables Prophesee to achieve exceptional performance metrics, including high-speed time resolution, dynamic range, and significant reductions in data volume and power consumption. Its technology caters to a diverse range of industries, including biomedical, gaming, industrial automation, mobile devices, robotics, security, and automotive applications. Prophesee's team of over 100 engineers holds more than 50 international patents and has established a global presence with offices in cities such as Grenoble, Shanghai, Tokyo, and Silicon Valley, supported by a network of prominent investors.

CognitiveScale, Inc. specializes in developing augmented intelligence software tailored for financial services, healthcare, and digital commerce sectors. Utilizing its Cortex platform, the company enables enterprises to integrate artificial intelligence and blockchain technology into their operations. Key offerings include Cortex 5, which facilitates the design and management of enterprise-grade AI systems, the AI marketplace for collaborative problem-solving, and Cortex Certifai, which helps identify and manage risks in automated decision-making. Additionally, CognitiveScale provides AI lifecycle management tools and systems such as ENGAGE for enhanced customer engagement and AMPLIFY for intelligent process automation. The company has formed strategic partnerships with prominent firms such as IBM, Microsoft, and Deloitte, serving Global 500 clients worldwide. Founded in 2013 and headquartered in Austin, Texas, with additional offices in New York, London, and Hyderabad, CognitiveScale is recognized for its contributions to responsible AI and is backed by notable investors, including Norwest Venture Partners and Intel Capital.

Nervana focuses on building technology to power the next generation of intelligent applications. Founded by experts in machine learning, neuroscience, processor architecture, and chip design, Nervana Systems is bringing unprecedented scale and simplicity to the application of brain-inspired algorithms. It was founded in 2014 and headquartered in San Diego, California.

Panoply Ltd. offers a cloud-based data analytics platform designed to simplify and automate data management tasks. Its product, Panoply.io, provides an end-to-end solution that streamlines processes from data sourcing to analysis, significantly enhancing the efficiency of analysts and data scientists. The platform automates critical functions such as data modeling, normalization, and cleanup, while also managing infrastructure setup, server launching, scaling, and backup. Additionally, it supports real-time data transformations, flexible schemas, and advanced data privacy and security measures. By leveraging machine learning and natural language processing, Panoply.io reduces the complexity associated with data preparation and infrastructure management, allowing users to focus on analysis rather than technical details. Founded in 2015, Panoply is headquartered in Tel Aviv, Israel, with an additional office in San Francisco, California.

True Fit Corporation operates a footwear and apparel personalization platform that leverages a vast database of fit and style data to enhance the online shopping experience. Founded in 2005 and based in Woburn, Massachusetts, the company offers services designed to help consumers, brands, and retailers navigate the $1 trillion footwear and apparel market. Its Genome compiles extensive, attribute-rich data to enable retailers to provide personalized fit ratings and size recommendations through its Confidence Engine, significantly boosting revenue. Additionally, True Fit's Discovery Engine allows retailers to curate tailored collections for individual consumers, while the True Insight platform delivers valuable insights for optimizing marketing and product development. The company, previously known as True Apparel Company, has formed strategic partnerships, including one with Bamboo Rose, and is supported by a team of seasoned professionals from the fashion, retail, and technology sectors.

Itseez, Inc. specializes in computer vision software solutions and consulting services. The company is known for its Open Source Computer Vision Library (OpenCV), which provides a wide range of computer vision and machine learning algorithms for tasks such as face detection, object recognition, and video analysis. Itseez also develops Advanced Driver Assistance System algorithms for the automotive industry, including features like traffic sign recognition and pedestrian detection. Additional offerings include Facense, a technology for face analysis, and itSeez3D, a mobile 3D scanning application. The company provides custom algorithm development in various areas, including deep learning, gesture recognition, and augmented reality. Itseez serves multiple markets, including automotive, security, and consumer applications. Founded in 2005 in San Francisco, Itseez originally operated as Computer Vision Center Argus Ltd. and has since become a subsidiary of Intel Corporation.

Lumiata Inc. specializes in predictive health analytics tailored for risk-bearing organizations, including hospital networks and insurance carriers. Founded in 2013 and based in San Mateo, California, the company has developed a medical graph that organizes and analyzes diverse healthcare data, enabling real-time predictive analytics. Its flagship product, The Lumiata Risk Matrix, provides personalized predictions regarding individual health changes, supported by a chain of medical reasoning. By leveraging over 120 million patient records and proprietary clinical knowledge, Lumiata's machine learning tools empower healthcare providers and payers to enhance decision-making, manage costs, and improve patient care. The company serves a range of clients, including payers, population health organizations, and digital health companies, facilitating applications in underwriting and care management while prioritizing member privacy.

WhoKnows is an innovative lead generation platform tailored for startups, leveraging artificial intelligence to enhance its offerings. The platform boasts a robust database of over 370 million AI-enriched profiles, coupled with various lead generation services such as email marketing, paid advertising, search engine optimization, and telemarketing. This combination allows startups to test and refine their growth strategies rapidly. Additionally, WhoKnows employs a performance-based pricing model that ensures clients only pay for the leads generated after an initial discovery phase. The platform also provides advanced cognitive search and analytics capabilities, enabling organizations to map employee skills, identify talent gaps, and connect teams with colleagues who possess relevant expertise, ultimately fostering more effective collaboration and enhancing overall productivity.

Reflektion, Inc. is a technology company that specializes in developing an artificial intelligence-driven customer engagement platform aimed at enhancing e-commerce experiences. Founded in 2012 and headquartered in San Mateo, California, Reflektion's platform utilizes AI to analyze individual shopper behaviors, preferences, and intent, allowing businesses to deliver personalized content and product recommendations in real-time across various digital channels. The company offers solutions such as personalized site search, predictive product recommendations, and tailored email marketing. By integrating these features, Reflektion helps retailers optimize customer engagement and create relevant shopping experiences. The company also provides analytic tools, including a personalization dashboard and customer insights, enabling businesses to track performance and improve their marketing strategies. Reflektion has established strategic alliances and partnerships with other technology firms to enhance its offerings.

DataRobot, Inc. develops an automated machine learning platform that empowers enterprises to create predictive models efficiently. Its offerings include DataRobot Cloud, a predictive analytics solution available both in the cloud and on-premises, and DataRobot MLOps, which facilitates the deployment, monitoring, and management of machine learning models across organizations. The company also provides DataRobot Enterprise, featuring flexible deployment options, governance, and training services, along with packages designed to accelerate artificial intelligence projects. DataRobot serves a diverse range of industries, including banking, healthcare, manufacturing, and marketing, catering to business analysts, data scientists, and IT professionals. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot has expanded its operations globally, with offices in major cities such as London, Paris, and Tokyo, and maintains strategic partnerships to enhance its offerings.

Body Labs is a horizontal solution provider of human-aware AI that understands the way we move and how we’re shaped to make our world more personal. The company is comprised of the best in artificial intelligence, computer vision, and body modeling. It aims to deliver human-aware AI as the next digital platform to empower the capture and use of 3D body motion and shape for numerous industries. It was founded in 2013 and is headquartered in New York, New York.

ParallelM, Inc. is a company based in Santa Clara, California, specializing in machine learning operations (MLOps). It provides a software platform called MCenter that enables organizations to automate the deployment, scaling, and management of machine learning services in production environments. By facilitating the operationalization of machine learning, ParallelM helps businesses run multiple pipelines effectively while offering tools for real-time monitoring and identifying inaccuracies in predictions through machine learning health indicators. As a dedicated MLOps provider, ParallelM focuses on ensuring that enterprises can manage and govern their machine learning initiatives across various platforms and cloud or on-premise settings. As of June 2019, ParallelM operates as a subsidiary of DataRobot, Inc.

BlueData provides the leading container-based software platform for AI, machine learning, data science, and big data analytics focuses on helping enterprises to accelerate their deployments, with faster time-to-value and lower TCO. The BlueData platform leverages Docker container technology and patented innovations to make it easier, faster, and more cost-effective to deploy Spark, Kafka, TensorFlow, Hadoop, and other AI / ML / DL and big data.

Dialogflow is a conversational user experience platform that facilitates natural language interactions for various devices, applications, and services. It offers developers tools for speech recognition, natural language processing, and conversation management, allowing businesses to enhance customer satisfaction and streamline processes. By utilizing pre-built knowledge packages derived from extensive user queries, Dialogflow enables agents to comprehend a wide range of requests immediately, eliminating the need for extensive coding. This technology supports effective human-computer interaction, helping users communicate seamlessly with mobile devices and tablets.

Got It, Inc. is a technology company based in Burlingame, California, founded in 2011. It operates a social marketplace that connects students with tutors for online coaching and tutoring services worldwide. The company has developed an advanced conversational artificial intelligence platform that enhances customer experience management by automating interactions in service desks and contact centers. This platform facilitates rapid deployment and management of virtual agents, allowing organizations to streamline operations and focus on strategic tasks. Got It is recognized for its innovative approach, utilizing natural language processing and AI to deliver customized customer experiences efficiently. The company aims to transform the educational landscape and customer service sectors by providing scalable and secure solutions.

Teraki GmbH, founded in 2014 and based in Berlin, Germany, specializes in software solutions that enhance data management for insurance, predictive maintenance, and autonomous driving applications. The company's platform facilitates access to high-quality data while ensuring low-latency performance, which is crucial for meeting strict service level agreements. Teraki's technology supports various applications, including usage-based insurance, fleet management, and advanced driver assistance systems. By focusing on edge processing and artificial intelligence, Teraki enables clients to build, train, and improve sensor-driven AI models, automating the training process and enhancing accuracy. This innovative approach allows for efficient selection of relevant sensor information on low-power hardware, making previously impossible applications feasible within the automotive sector.

MindMeld, Inc. is a technology company that specializes in developing an advanced AI platform focused on creating intelligent conversational interfaces for applications and devices. Founded in 2011 and headquartered in San Francisco, the company enhances user interaction through voice interfaces and language-understanding capabilities, allowing users to engage with music, video content, weather updates, and connected home devices. MindMeld's platform employs machine learning to facilitate natural interactions with voice and chat assistants, enabling users to efficiently access and navigate information. In December 2015, the company rebranded from its original name, Expect Labs, Inc., and operates as a subsidiary of Cisco Systems, Inc. since May 2017.

JetPatch is a centralized patch management platform designed for end-to-end enterprise patch management and vulnerability remediation. Founded in 2017 and based in Boston, Massachusetts, JetPatch aims to ensure that systems remain secure, up-to-date, and operating efficiently through an automated patch management system. The platform leverages existing patch managers and includes the JetPatch Agent Manager, which helps IT and DevOps professionals streamline the deployment, maintenance, and troubleshooting of server tool agents, significantly reducing manual effort. By utilizing machine learning technology to optimize patch rollouts, JetPatch enhances system security and minimizes downtime. Its focus is on maintaining the performance and availability of business-critical applications across diverse infrastructures, including physical, virtual, private, public cloud, and hybrid environments.

Dialogflow is a conversational user experience platform that facilitates natural language interactions for various devices, applications, and services. It offers developers tools for speech recognition, natural language processing, and conversation management, allowing businesses to enhance customer satisfaction and streamline processes. By utilizing pre-built knowledge packages derived from extensive user queries, Dialogflow enables agents to comprehend a wide range of requests immediately, eliminating the need for extensive coding. This technology supports effective human-computer interaction, helping users communicate seamlessly with mobile devices and tablets.

WhoKnows is an innovative lead generation platform tailored for startups, leveraging artificial intelligence to enhance its offerings. The platform boasts a robust database of over 370 million AI-enriched profiles, coupled with various lead generation services such as email marketing, paid advertising, search engine optimization, and telemarketing. This combination allows startups to test and refine their growth strategies rapidly. Additionally, WhoKnows employs a performance-based pricing model that ensures clients only pay for the leads generated after an initial discovery phase. The platform also provides advanced cognitive search and analytics capabilities, enabling organizations to map employee skills, identify talent gaps, and connect teams with colleagues who possess relevant expertise, ultimately fostering more effective collaboration and enhancing overall productivity.

Fortscale Security, Inc., founded in 2012 and based in San Francisco, California, specializes in developing security software focused on user and entity behavior analytics (UEBA). The company offers an innovative platform designed to detect malicious user behavior and insider threats by utilizing machine learning to analyze user actions in real-time. Fortscale's system automates the delivery and application of behavioral analytics, embedding it within existing security infrastructure to enhance decision-making and identify high-risk activities swiftly. By processing data collected from security devices, Fortscale's technology provides organizations with critical visibility and insights necessary to uncover sophisticated attacks and improve overall security effectiveness. The company is backed by several investors, including Intel Capital and Blumberg Capital.

ColdLight Solutions specializes in advanced analytics, predictive technology, and machine learning. The company is known for its innovative platform, Neuron, which serves as an automated learning engine capable of analyzing vast amounts of data to identify patterns and generate mathematically validated recommendations. This technology enables businesses to make informed decisions based on insights derived from their data. Neuron is designed to be deployed as a Software-as-a-Service (SaaS) cloud solution, allowing customers to leverage its capabilities without significant infrastructure investment. Through its focus on big data and predictive analytics, ColdLight Solutions empowers organizations to harness the potential of their data efficiently and effectively.

Revolution Analytics, Inc. specializes in big data predictive analysis software solutions tailored for a variety of industries, including finance, life sciences, pharmaceuticals, marketing, and academia. Founded in 2007 and headquartered in Mountain View, California, the company offers products such as Revolution R Open, a data analysis software, and Revolution R Enterprise, an advanced platform designed for big data and analytics. These offerings empower users to conduct predictive modeling and machine learning, making sophisticated analytics accessible to a broader audience. Originally known as Revolution Computing, the company rebranded in 2010 to reflect its focus on the evolving R programming language and its applications in commercial settings. Revolution Analytics operates as a subsidiary of Microsoft Corporation, continuing its mission to enhance the usability and performance of R for statisticians and data scientists.

Cloudera, Inc. is a provider of data analytics and management solutions, operating primarily in the United States, Europe, and Asia. The company offers a comprehensive suite of products through its Subscription and Services segments. Its flagship Cloudera Enterprise Data Hub enables organizations to perform various analytics on a governed and secure data set across public and private clouds or data centers. Cloudera also provides a hybrid cloud solution known as Cloudera Data Warehouse for self-service analytics, along with tools like Cloudera Data Science and Engineering for big data processing and Cloudera Operational DB for real-time analytics. Additional offerings include the Hortonworks Data Platform, Cloudera DataFlow for data collection and analysis, and Cloudera SDX for security and governance. Cloudera supports its clients—corporate enterprises and public sector organizations—through software subscriptions and professional services that include consultation, training, and machine learning expertise. Founded in 2008 and headquartered in Palo Alto, California, Cloudera aims to transform complex data into actionable insights while ensuring efficiency and security.

Emotient specializes in automated facial expression recognition and analysis, aiming to create emotionally aware technologies that enhance personal computing. Originating from the Machine Perception Lab at the University of California, San Diego, the company's founders are pioneers in applying machine learning to facial expression analysis. Emotient's software platform and API translate facial expressions into actionable insights, setting a high standard for accuracy and real-time data delivery in the industry. As businesses increasingly look to improve technology responsiveness and boost customer engagement, Emotient's innovative solutions are positioned at the forefront of this growing field.

Reflektion, Inc. is a technology company that specializes in developing an artificial intelligence-driven customer engagement platform aimed at enhancing e-commerce experiences. Founded in 2012 and headquartered in San Mateo, California, Reflektion's platform utilizes AI to analyze individual shopper behaviors, preferences, and intent, allowing businesses to deliver personalized content and product recommendations in real-time across various digital channels. The company offers solutions such as personalized site search, predictive product recommendations, and tailored email marketing. By integrating these features, Reflektion helps retailers optimize customer engagement and create relevant shopping experiences. The company also provides analytic tools, including a personalization dashboard and customer insights, enabling businesses to track performance and improve their marketing strategies. Reflektion has established strategic alliances and partnerships with other technology firms to enhance its offerings.

WhoKnows is an innovative lead generation platform tailored for startups, leveraging artificial intelligence to enhance its offerings. The platform boasts a robust database of over 370 million AI-enriched profiles, coupled with various lead generation services such as email marketing, paid advertising, search engine optimization, and telemarketing. This combination allows startups to test and refine their growth strategies rapidly. Additionally, WhoKnows employs a performance-based pricing model that ensures clients only pay for the leads generated after an initial discovery phase. The platform also provides advanced cognitive search and analytics capabilities, enabling organizations to map employee skills, identify talent gaps, and connect teams with colleagues who possess relevant expertise, ultimately fostering more effective collaboration and enhancing overall productivity.

Prism is a cloud-based video intelligence platform that transforms ordinary cameras into powerful business tools. Through computer vision, A.I., and machine learning, Prism unlocks valuable information from video that can be immediately understood, shared and acted upon. Leading companies in 80 countries around the world use Prism to better understand, manage and grow their business

BlueData provides the leading container-based software platform for AI, machine learning, data science, and big data analytics focuses on helping enterprises to accelerate their deployments, with faster time-to-value and lower TCO. The BlueData platform leverages Docker container technology and patented innovations to make it easier, faster, and more cost-effective to deploy Spark, Kafka, TensorFlow, Hadoop, and other AI / ML / DL and big data.