Bria is a company specializing in visual generative AI. It offers a platform for AI teams with full access to source code and model weights trained on licensed data. Their Visual Creation API Suite includes over 30 specialized APIs for tasks like image generation and editing. Bria also provides tailored services for brand-specific AI models, product imagery consistency, and scalable marketing campaigns.
Quantum Machines
Series C in 2025
Quantum Machines specializes in developing control systems for quantum computers. They create innovative software, hardware, and electronics, merging classical engineering with quantum computing technology. The company's expertise spans algorithmics, digital signal processing, RF microwave engineering, machine learning, and quantum physics.
TrueFoundry
Series A in 2025
TrueFoundry is an enterprise platform that enables organizations to build, deploy, and manage large language model and other machine learning applications at scale. The platform provides end-to-end automation of the AI deployment lifecycle, including multi-cloud support, auto-scaling, proactive maintenance, centralized access controls, and model artifact tracking. It supports testing and monitoring of models in production, packaging code for production readiness, deploying APIs, and creating explainable demo web apps for rapid business feedback.
Aira Technologies
Series B in 2024
Aira Technologies develops radio access network software that uses machine learning to predict and optimize wireless network performance. Its platform analyzes contextual data from mobile networks to make resources more efficient, enabling operators to improve throughput, coverage, and capacity while reducing energy consumption and total cost of ownership. The software aims to make networks more intelligent and self-evolving, delivering a better and consistent user experience in variable conditions.
Bezoku
Non Equity Assistance in 2024
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
Acquisition in 2024
InAccel develops cloud-based FPGA hardware accelerators as a service to accelerate machine learning and analytics workloads, offering accelerators for algorithms such as logistic regression, k-means, and recommendation engines, as well as financial risk models. The platform is compatible with AWS F1 and supports Apache Spark workloads, delivering 2-10x speedups with minimal changes to application code, enabling reduced cloud costs. The company was founded in 2018 and is based in Wilmington, Delaware.
Bria is a company specializing in visual generative AI. It offers a platform for AI teams with full access to source code and model weights trained on licensed data. Their Visual Creation API Suite includes over 30 specialized APIs for tasks like image generation and editing. Bria also provides tailored services for brand-specific AI models, product imagery consistency, and scalable marketing campaigns.
AI21 Labs
Series C in 2023
AI21 Labs is an Israeli artificial intelligence company that develops generative AI and large language models along with tools to understand and generate natural language. Founded in 2017 and based in Tel Aviv-Yafo, it provides AI-based writing and reading assistance that understands context and meaning, including a writing companion that can rephrase text to convey the intended message and generate summaries. The company's tools help users read more efficiently, analyze and visualize complex knowledge structures, and apply deep learning and NLP to transform writing and comprehension for businesses and individuals.
Nurdle AI
Venture Round in 2023
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
Seed Round in 2023
Twelve Labs offers a platform that empowers businesses and developers to analyze and interpret video content through multiple modalities like visual and auditory data. This enables the creation of intelligent video applications across industries such as technology, media, entertainment, and security.
Hugging Face
Series D in 2023
Founded in 2016, Hugging Face is a New York-based company that aims to democratize good machine learning. It provides an open-source platform for collaborating on machine-learning projects, including models, datasets, and applications.
MDI Health Technologies
Series A in 2023
Founded in 2018, MDI Health Technologies Ltd develops an AI-based personalized medication management system. It collects patient data, predicts medication risks and efficacies, suggests actions, and monitors treatments, serving patients, doctors, and clinical pharmacologists.
Alkymi develops an AI-powered platform that automates the processing of unstructured investment data. Its solution transforms financial documents like capital calls and brokerage statements into standardized datasets, enabling financial services professionals to accelerate deal reviews, serve more clients, and respond swiftly to market changes.
Prophesee
Series C in 2022
Prophesee develops neuromorphic vision systems that mimic the human eye's functionality. Its patented sensors and AI algorithms enable unprecedented speed (>10,000 fps), dynamic range (>120dB), data volume reduction (10x to 1000x), and power efficiency (<10 mW). Prophesee serves clients in autonomous driving, mobile devices, IoT, and industry sectors. Founded in Paris in 2014 by Ryad Benosman, Bernard Gilly, Christoph Posch, and Luca Verre, the company is backed by leading international investors.
Inworld AI
Series A in 2022
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.
Anyscale develops and operates distributed programming platforms for simplifying distributed AI development. It offers Ray, an open-source framework enabling software developers and machine learning engineers to scale applications effortlessly from a laptop to the cloud.
Biofourmis
Series D in 2022
Biofourmis is a biotechnology company based in Boston, Massachusetts, founded in 2015. It specializes in personalized care and therapies through the use of digital therapeutics. The company develops and delivers clinically validated software-based therapeutics that enhance patient outcomes. Biofourmis has created a predictive health analytics platform that analyzes physiology data gathered from clinical-grade wearables. Utilizing artificial intelligence, this platform integrates and interprets continuous physiological data to identify personalized patterns and predict potential clinical exacerbations. By enabling medical professionals to intervene days before critical events occur, Biofourmis aims to improve patient care and provide cost-effective solutions for healthcare providers.
Opaque Systems
Series A in 2022
Opaque Systems is a startup that provides secure data analytics and machine learning services in the cloud. The company specializes in enabling organizations to analyze encrypted data without exposing it in an unencrypted form, thus ensuring data privacy. Their platform, built on the open-source MC2 Platform, incorporates advanced technologies such as secure hardware enclaves and cryptographic fortification. This allows users to utilize familiar tools like Apache Spark for various data-related tasks, including running SQL queries, performing complex analytics, and executing ETL (extract, transform, load) pipelines on encrypted data. Additionally, Opaque facilitates the secure training of machine learning models on sensitive data, enhancing privacy through federated learning and server-side aggregation of client updates.
Granulate
Acquisition in 2022
Granulate Cloud Solutions Ltd. is an Israeli company established in 2018, specializing in AI-powered optimization software. Its platform focuses on enhancing the performance of applications by optimizing machine processes at the kernel and operating system levels. The Granulate solution offers real-time, continuous optimization for specific and repetitive tasks, ensuring high performance and scalability. The software’s agents can be installed on any Linux server and are compatible with various architectures, including data centers and multi-cloud environments. By analyzing resource usage patterns, these agents intelligently adjust resource allocation to alleviate performance bottlenecks, ultimately enabling businesses to improve application performance while reducing operational costs.
Syntiant designs neuromorphic semiconductors to enable artificial intelligence and machine learning at the edge. It develops ultra-low-power, high-performance neural network processors for always-on applications in battery-powered devices such as hearing aids, earbuds, smartphones, smart speakers and laptops, enabling on-device AI for sensor, voice, and video processing.
Ponder Data Inc., founded in 2019, specializes in enterprise-level tools for efficient data experimentation and analysis at scale. The company's core offering is a platform that empowers data teams by facilitating faster insights while maintaining ease of use and flexibility akin to the popular pandas API. This enables users to perform diverse data science tasks across varying workload scales effectively.
WSC Sports
Series D in 2022
WSC Sports Technologies Ltd specializes in creating customized short-form video content for the sports industry through the use of artificial intelligence and machine learning. Founded in 2011 and headquartered in Givatayim, Israel, with additional offices in Netanya and New York, the company offers a platform that automates the generation, management, and distribution of video content. This platform analyzes live sports events, identifying key moments to create tailored video clips, which can be shared across digital platforms. WSC Sports serves various stakeholders in the sports sector, including sports organizations, media rights holders, and coaching staff, providing tools like interactive video experiences and analytics software for basketball and football. The company has established partnerships with major entities such as the NBA, ESPN, and LaLiga, allowing them to enhance fan engagement and unlock new revenue opportunities.
MinIO, Inc. is a developer of a high-performance, open-source distributed object storage server that is fully compatible with Amazon S3 APIs. Founded in 2014 and based in Palo Alto, California, the company focuses on providing a minimal object storage solution optimized for cloud-native workloads, making it suitable for deployment in both public and private clouds, including Kubernetes environments. MinIO's platform enables enterprises to manage unstructured data effectively, supporting various applications such as machine learning, analytics, and data backup and archival processes. The company also hosts a MinIO play server, allowing developers and system administrators to familiarize themselves with its S3-compatible object storage capabilities.
Anyscale develops and operates distributed programming platforms for simplifying distributed AI development. It offers Ray, an open-source framework enabling software developers and machine learning engineers to scale applications effortlessly from a laptop to the cloud.
True Fit
Venture Round in 2021
True Fit Corporation is a technology company based in Woburn, Massachusetts, that specializes in developing an online fit recommendation engine tailored for the footwear and apparel sectors. Founded in 2005, True Fit offers a comprehensive platform that harnesses a vast database of consumer fit data and style attributes. This enables brands and retailers to deliver personalized fit ratings and size recommendations, significantly enhancing the shopping experience. The company's proprietary Genome technology powers the Confidence Engine, which drives substantial revenue growth by allowing retailers to offer tailored size suggestions. Additionally, True Fit's Discovery Engine curates customized collections for consumers, while the True Insight platform provides valuable analytics to optimize marketing and product development strategies. With a focus on leveraging artificial intelligence, True Fit aims to bridge the gap between shoppers and brands, transforming the digital landscape of the $1 trillion footwear and apparel industry.
LandingAI
Series A in 2021
Landing AI is a company that specializes in artificial intelligence transformation programs tailored for the manufacturing industry. Founded in 2017 and based in Palo Alto, California, the company develops solutions focused on visual inspection, automation, calibration, and automated issue identification. Its offerings cater to a diverse range of sectors, including manufacturing, retail, automotive, agriculture, telecommunications, and pharmaceuticals. The company aims to empower organizations to become AI-driven by providing a platform that enhances the accuracy of machine learning models through effective data generation and labeling. This platform helps identify environmental issues and alerts users to model changes, thereby facilitating efficient data management and accelerating troubleshooting processes. Founded by Dr. Andrew Ng, a prominent figure in AI, Landing AI is positioned to deliver practical AI solutions that drive value for businesses globally.
NeuroBlade
Series B in 2021
NeuroBlade is an Israeli technology company that develops AI inference processors and computational memory-based solutions to accelerate analytics for data centers and end devices. Its hardware and software stack is designed to support any AI topology while addressing memory bottlenecks, enabling faster analytics and reduced time to insights. The company leverages proprietary computational memory technology and expertise in hardware, software, and algorithms to lower costs and power consumption compared with traditional accelerators. Founded in the late 2010s, NeuroBlade is headquartered in Tel Aviv with operations in Taipei and Palo Alto, reflecting a global footprint. The company aims to redefine analytics acceleration for large data workloads by delivering high-performance, energy-efficient processing that improves query performance across enterprise applications.
Founded in 2015, Motivo specializes in developing software for data analytics, combinatorial optimization, and machine learning solutions. It focuses on the semiconductor integrated circuit (IC) segment, using proprietary graph analytics, AI, and ML technologies to accelerate yield improvement and optimize chip design.
Opaque Systems
Seed Round in 2021
Opaque Systems is a startup that provides secure data analytics and machine learning services in the cloud. The company specializes in enabling organizations to analyze encrypted data without exposing it in an unencrypted form, thus ensuring data privacy. Their platform, built on the open-source MC2 Platform, incorporates advanced technologies such as secure hardware enclaves and cryptographic fortification. This allows users to utilize familiar tools like Apache Spark for various data-related tasks, including running SQL queries, performing complex analytics, and executing ETL (extract, transform, load) pipelines on encrypted data. Additionally, Opaque facilitates the secure training of machine learning models on sensitive data, enhancing privacy through federated learning and server-side aggregation of client updates.
Text IQ
Convertible Note in 2021
Text IQ, Inc. is an artificial intelligence company that specializes in providing solutions for privacy, legal, and compliance challenges. Founded in 2014 and headquartered in New York, with additional offices in San Francisco, Cork, and Vancouver, the company offers an Unstructured Data Platform that leverages advanced AI technologies, including unsupervised machine learning and deep learning. This platform assists organizations in identifying sensitive information hidden within unstructured data, enabling them to prevent potential legal and compliance disasters. Text IQ's software supports risk, audit, and compliance teams by detecting anomalous activities and documents, and it accelerates case strategy development by efficiently reviewing vast datasets. The company's innovative approach has garnered recognition and adoption among leading financial services, healthcare, and government organizations globally.
SambaNova Systems
Series D in 2021
SambaNova Systems develops an integrated systems platform and hardware for artificial intelligence and machine learning workloads. The company offers analytics and AI infrastructure designed to accelerate data processing, training, and inference across diverse models. Its platform emphasizes a flexible, scalable architecture optimized for data flow, enabling faster, more efficient algorithms on AI-powered hardware. SambaNova serves applications in sectors such as healthcare, finance, and autonomous vehicles, supporting teams in building and deploying AI solutions. Founded in 2017 and headquartered in Palo Alto, California, SambaNova focuses on delivering end-to-end AI capabilities that combine software and purpose-built hardware to streamline model development, deployment, and operation.
IRIS.TV, Inc. is a Los Angeles-based company that specializes in developing a cloud-based personalized video programming system designed to enhance user engagement and increase video views across multiple devices. Founded in 2009, the company offers a suite of products that include Adaptive Stream, which allows for real-time personalized streaming tailored to specific business and editorial guidelines, and Asset IQ, which automates data structuring and asset optimization. Additionally, IRIS Vision provides business intelligence and programming management tools. By leveraging artificial intelligence and machine learning, IRIS.TV automates the delivery of personalized content based on audience preferences and behaviors, thereby improving the viewing experience and operational efficiency for web, mobile, and over-the-top video distribution. The company's platform also facilitates video data connectivity for enhanced advertising outcomes and audience insights, making it a vital resource for publishers, advertisers, and content owners.
Katana Graph
Series A in 2021
Katana Graph specializes in technologies that empower individuals and businesses to harness the power of large-scale, irregular, and unstructured data. Its platform integrates algorithms, hardware acceleration, and emerging storage technologies to deliver graph database, analytics, mining workloads with significant performance enhancements.
cnvrg.io
Acquisition in 2020
cnvrg.io is a comprehensive data science platform that empowers enterprises to manage and scale AI projects. It offers an end-to-end solution for collaborative machine learning model development, enabling businesses to accelerate innovation across various industries such as finance, gaming, automotive, and e-commerce.
SigOpt
Acquisition in 2020
SigOpt, Inc. is a San Francisco-based company that provides an advanced optimization platform designed to enhance model development across various applications, including web, mobile, machine learning, and physical experiments. Founded in 2014 and now a subsidiary of Intel Corporation, SigOpt offers a REST API that seamlessly integrates into existing machine learning workflows. The platform employs a black-box optimization approach, allowing users to input parameter spaces and performance metrics without needing to disclose underlying training data or models. By continuously analyzing performance, SigOpt suggests optimal hyperparameter configurations, thereby accelerating the model development process and enabling clients to achieve reliable results more efficiently and cost-effectively.
Panoply Ltd. is a cloud data analytics company that offers an automated data management platform known as Panoply.io. Founded in 2015 and headquartered in Tel Aviv, Israel, with an additional office in San Francisco, California, the company simplifies complex data management tasks to enhance efficiency for analysts and data scientists. Panoply.io automates processes such as data modeling, normalization, and cleanup, enabling users to focus on analysis rather than data preparation. The platform employs advanced technologies, including machine learning and natural language processing, to adapt to users' needs and streamline data handling. By optimizing data workflows, Panoply significantly reduces the time and effort required for data management, allowing organizations to achieve greater productivity and faster insights.
Anyscale develops and operates distributed programming platforms for simplifying distributed AI development. It offers Ray, an open-source framework enabling software developers and machine learning engineers to scale applications effortlessly from a laptop to the cloud.
ProteanTecs
Series C in 2020
ProteanTecs develops a cloud-based analytics platform that combines data from chip-embedded agents with machine learning to predict faults before they become failures. The platform enables predictive maintenance and reliability improvements for electronics across the value chain, from chip vendors to system integrators and digital service providers, delivering insights to improve performance, yield, and safety while reducing defect rates. Founded in 2017 and headquartered in Haifa, Israel, the company also maintains additional offices in Tel Aviv, Santa Clara, California, and Bridgewater, New Jersey.
Verta Inc. is a software infrastructure company founded in 2018 and based in Palo Alto, California. It focuses on enhancing the management and operations of data science and machine learning models. Verta's Model Delivery & Operations Platform allows organizations to streamline the process of developing, packaging, and deploying machine learning models. By integrating best practices in DevOps for continuous integration and delivery, Verta simplifies workflows and enhances the scalability and availability of models. The company's technology facilitates collaboration among data scientists, enabling them to monitor model health and manage models throughout their lifecycles efficiently.
Common Sense Machines
Seed Round in 2020
Common Sense Machines develops an artificial intelligence-based simulation platform that translates real-world imagery into 3D representations. By combining human-like learning with fast machine processing, the platform enables one-shot perception and manipulation of everyday objects, allowing users to transform photos and videos into photorealistic 3D assets for products, interiors, games, and augmented reality. The technology aims to reduce the cost of traditional photography and accelerates asset creation by generating diverse 3D assets from minimal inputs.
MemVerge specializes in memory storage convergence software designed to optimize cloud infrastructure. Its proprietary Distributed Memory Objects (DMO) technology leverages Intel's Optane DC persistent memory, enabling data-intensive workloads like AI/ML and big data analytics to run at memory speed with consistent data across systems.
Anodot is a SaaS-based autonomous analytics company offering an automated business analytics and anomaly detection platform. The platform continuously collects and analyzes data to identify outliers and abnormal patterns, automatically isolating issues and correlating signals across multiple parameters in real time to eliminate insight latency and support rapid business decisions. It serves data-driven sectors such as eCommerce, fintech, adtech, telecommunications, IoT, and gaming, and is distributed through a global network of resellers. Founded in 2014, Anodot is headquartered in Ra'anana, Israel, with offices in London and Sydney.
FogHorn is a developer of edge intelligence software tailored for industrial and commercial Internet of Things (IoT) applications. The company's platform enables advanced analytics and machine learning capabilities to be deployed in on-premises edge environments, facilitating applications such as monitoring, diagnostics, machine performance optimization, proactive maintenance, and operational intelligence. FogHorn's technology is particularly beneficial for original equipment manufacturers (OEMs), systems integrators, and end customers across various sectors, including manufacturing, energy, mining, transportation, healthcare, retail, and smart infrastructure initiatives like smart grids and connected vehicles. By enhancing edge computing with real-time analytics, FogHorn empowers businesses to integrate seamlessly with major cloud platforms, allowing for informed, analytics-driven decision-making.
SambaNova Systems
Series C in 2020
SambaNova Systems develops an integrated systems platform and hardware for artificial intelligence and machine learning workloads. The company offers analytics and AI infrastructure designed to accelerate data processing, training, and inference across diverse models. Its platform emphasizes a flexible, scalable architecture optimized for data flow, enabling faster, more efficient algorithms on AI-powered hardware. SambaNova serves applications in sectors such as healthcare, finance, and autonomous vehicles, supporting teams in building and deploying AI solutions. Founded in 2017 and headquartered in Palo Alto, California, SambaNova focuses on delivering end-to-end AI capabilities that combine software and purpose-built hardware to streamline model development, deployment, and operation.
Anyscale develops and operates distributed programming platforms for simplifying distributed AI development. It offers Ray, an open-source framework enabling software developers and machine learning engineers to scale applications effortlessly from a laptop to the cloud.
Prophesee
Series C in 2019
Prophesee develops neuromorphic vision systems that mimic the human eye's functionality. Its patented sensors and AI algorithms enable unprecedented speed (>10,000 fps), dynamic range (>120dB), data volume reduction (10x to 1000x), and power efficiency (<10 mW). Prophesee serves clients in autonomous driving, mobile devices, IoT, and industry sectors. Founded in Paris in 2014 by Ryad Benosman, Bernard Gilly, Christoph Posch, and Luca Verre, the company is backed by leading international investors.
Healx is a Cambridge, United Kingdom-based biotechnology company that focuses on treating rare diseases. It leverages artificial intelligence and machine learning to accelerate drug discovery and repurposing, pairing computational insights with pharmacology expertise and patient engagement to match therapies to specific diseases. The company uses generative AI to identify new drug candidates and repurpose existing medications with known safety profiles, aiming to lower development risk and cost while addressing unmet needs of patients with rare diseases.
DataRobot
Series E in 2019
DataRobot develops an automated machine learning platform that enables users across various industries to build predictive models. Its cloud-based solution, DataRobot Cloud, offers a project-based curriculum for gaining insights from data scientists. The company also provides DataRobot MLOps for deploying and managing machine learning models, along with enterprise features like flexible deployment and governance in its DataRobot Enterprise solution.
Mech-Mind Robotics
Venture Round in 2019
Mech-Mind Robotics Technologies is a prominent manufacturer based in Beijing, China, specializing in hardware and software solutions for the logistics industry. Founded in 2016, the company produces advanced smart cameras, including the Mech-Eye series, which are designed for tasks such as object recognition, depalletizing, assembly, sorting, and locating. Mech-Mind also develops AI-powered software that enables robotic cameras to identify and process objects of various shapes and sizes. With over 10,000 cameras deployed across more than 50 countries, Mech-Mind Robotics supports partners and system integrators in tackling complex automation challenges, including bin picking and assembly tasks, thereby enhancing operational efficiency in the e-commerce and logistics sectors. The company further extends its reach with an office in Munich, Germany, and a sales office in Shanghai, China.
WSC Sports
Series C in 2019
WSC Sports Technologies Ltd specializes in creating customized short-form video content for the sports industry through the use of artificial intelligence and machine learning. Founded in 2011 and headquartered in Givatayim, Israel, with additional offices in Netanya and New York, the company offers a platform that automates the generation, management, and distribution of video content. This platform analyzes live sports events, identifying key moments to create tailored video clips, which can be shared across digital platforms. WSC Sports serves various stakeholders in the sports sector, including sports organizations, media rights holders, and coaching staff, providing tools like interactive video experiences and analytics software for basketball and football. The company has established partnerships with major entities such as the NBA, ESPN, and LaLiga, allowing them to enhance fan engagement and unlock new revenue opportunities.
Kyndi, Inc. is a technology company that specializes in developing an explainable artificial intelligence (XAI) platform tailored for sectors such as government, financial services, and healthcare. Founded in 2014 and headquartered in San Mateo, California, with an additional office in Washington, D.C., Kyndi operates the Kyndi AI Platform, which leverages machine learning to enhance business regulation and provide auditable AI systems. The platform includes a Natural Language Search solution that enables organizations to efficiently extract insights from unstructured text data. By facilitating strategy and planning, compliance, and research operations, Kyndi aims to significantly boost the productivity of knowledge workers, assisting analysts in swiftly processing documents and gaining actionable insights to address opportunities and threats effectively.
NeuroBlade
Series A in 2019
NeuroBlade is an Israeli technology company that develops AI inference processors and computational memory-based solutions to accelerate analytics for data centers and end devices. Its hardware and software stack is designed to support any AI topology while addressing memory bottlenecks, enabling faster analytics and reduced time to insights. The company leverages proprietary computational memory technology and expertise in hardware, software, and algorithms to lower costs and power consumption compared with traditional accelerators. Founded in the late 2010s, NeuroBlade is headquartered in Tel Aviv with operations in Taipei and Palo Alto, reflecting a global footprint. The company aims to redefine analytics acceleration for large data workloads by delivering high-performance, energy-efficient processing that improves query performance across enterprise applications.
BabbleLabs
Series A in 2019
BabbleLabs develops advanced speech enhancement technologies using deep neural networks and signal processing. Its products aim to improve communication clarity in noisy environments across various industries, including smartphones, conferencing, field communications, customer service, automotive, and public safety.
Amenity Analytics
Series B in 2019
Amenity Analytics, Inc. is a New York-based company established in 2013 that specializes in cloud-based text analytics solutions. The firm leverages natural language processing and machine learning technologies to convert unstructured data into structured formats, enabling businesses to extract actionable insights from complex documents and narrative content. Its flagship product, Amenity Viewer, analyzes call transcripts to identify outliers, while custom solutions cater to various sectors including banking, insurance, hedge funds, and media. Amenity Analytics aims to help organizations navigate the challenges of information overload by providing precise and meaningful data insights without the need for coding.
LandingAI
Seed Round in 2019
Landing AI is a company that specializes in artificial intelligence transformation programs tailored for the manufacturing industry. Founded in 2017 and based in Palo Alto, California, the company develops solutions focused on visual inspection, automation, calibration, and automated issue identification. Its offerings cater to a diverse range of sectors, including manufacturing, retail, automotive, agriculture, telecommunications, and pharmaceuticals. The company aims to empower organizations to become AI-driven by providing a platform that enhances the accuracy of machine learning models through effective data generation and labeling. This platform helps identify environmental issues and alerts users to model changes, thereby facilitating efficient data management and accelerating troubleshooting processes. Founded by Dr. Andrew Ng, a prominent figure in AI, Landing AI is positioned to deliver practical AI solutions that drive value for businesses globally.
SambaNova Systems
Series B in 2019
SambaNova Systems develops an integrated systems platform and hardware for artificial intelligence and machine learning workloads. The company offers analytics and AI infrastructure designed to accelerate data processing, training, and inference across diverse models. Its platform emphasizes a flexible, scalable architecture optimized for data flow, enabling faster, more efficient algorithms on AI-powered hardware. SambaNova serves applications in sectors such as healthcare, finance, and autonomous vehicles, supporting teams in building and deploying AI solutions. Founded in 2017 and headquartered in Palo Alto, California, SambaNova focuses on delivering end-to-end AI capabilities that combine software and purpose-built hardware to streamline model development, deployment, and operation.
ProteanTecs
Series B in 2019
ProteanTecs develops a cloud-based analytics platform that combines data from chip-embedded agents with machine learning to predict faults before they become failures. The platform enables predictive maintenance and reliability improvements for electronics across the value chain, from chip vendors to system integrators and digital service providers, delivering insights to improve performance, yield, and safety while reducing defect rates. Founded in 2017 and headquartered in Haifa, Israel, the company also maintains additional offices in Tel Aviv, Santa Clara, California, and Bridgewater, New Jersey.
Proprio
Venture Round in 2019
Proprio, Inc. is a healthcare technology company based in Seattle, Washington, that focuses on developing an advanced surgical navigation and imaging platform. Founded in 2016, the company utilizes machine learning, artificial intelligence, and mixed-reality user interfaces to enhance surgical accuracy and simplify workflows, ultimately improving patient outcomes. Proprio's innovative solutions aim to replace traditional surgical microscopes and navigation systems with a more integrated system that leverages networked camera arrays, depth-sensing technology, and computer graphics. By synthesizing data from multiple inputs, Proprio enables medical professionals to navigate complex anatomical structures in real-time 3D environments, fostering a shift in medicine that embraces modern technological advancements. The company's vision extends beyond mere replacement of existing tools; it seeks to transform the surgical landscape by integrating software and data-driven approaches, enhancing the collaboration between humans and machines in the operating room.
DataRobot
Series D in 2018
DataRobot develops an automated machine learning platform that enables users across various industries to build predictive models. Its cloud-based solution, DataRobot Cloud, offers a project-based curriculum for gaining insights from data scientists. The company also provides DataRobot MLOps for deploying and managing machine learning models, along with enterprise features like flexible deployment and governance in its DataRobot Enterprise solution.
Syntiant designs neuromorphic semiconductors to enable artificial intelligence and machine learning at the edge. It develops ultra-low-power, high-performance neural network processors for always-on applications in battery-powered devices such as hearing aids, earbuds, smartphones, smart speakers and laptops, enabling on-device AI for sensor, voice, and video processing.
Paperspace
Series A in 2018
Paperspace is a cloud computing company that specializes in machine learning (ML) development. It offers a high-performance cloud platform for building, training, and deploying ML models, catering to individuals, startups, and enterprises. The platform provides a cloud-based personal computer accessible via any web browser, making cloud computing more accessible through simplicity, community-driven resources, and straightforward pricing. This enables users to iterate faster and collaborate on real-time prediction engines.
IFDAQ
Non Equity Assistance in 2018
IFDAQ, or International Fashion Digital Automated Quantification, is an advanced AI system that delivers quantitative market values across the fashion and luxury sectors. By creating a high-dimensional virtual representation of the fashion industry, IFDAQ analyzes and measures effective market values based on relative performance. Its comprehensive analytics provide insights into various elements of the fashion landscape, including fashion groups, brand campaigns, models, and even individual catwalk runs or image fragments. Established initially as a research project in 2008, IFDAQ transitioned into a startup in 2016, focusing on developing artificial intelligence solutions to enhance analytics and research in the fashion industry.
Vertex.AI
Acquisition in 2018
Vertex.AI is a technology company headquartered in Seattle, Washington, specializing in visual intelligence and deep learning solutions for edge devices. Founded in 2015 by Choong Ng and Jeremy Bruestle, the company offers products like Vertex Vision, which can detect, classify, track, and identify objects in real-time, and Vertex Vantage, a software platform that enhances the deep learning capabilities of various processors, from low-power mobile chips to full-sized GPUs. The firm focuses on developing an open-source software framework that employs advanced deep neural networks, allowing clients to integrate sophisticated visual intelligence capabilities into any device while ensuring compatibility with existing open-source tools. Formerly known as 1026 Labs, Vertex.AI operates as a subsidiary of Movidius, Inc.
Lumiata is a predictive health analytics company that applies artificial intelligence to healthcare data to deliver real-time, patient-level predictions. It builds a medical graph to organize symptoms, diagnoses, procedures and medications, enabling risk-bearing organizations such as payers, hospital networks, and population health programs to forecast health trajectories, cost, and care needs. The Lumiata Risk Matrix provides time-based predictions with explanations of medical reasoning. The platform combines big data, clinical knowledge, and proprietary intellectual property drawn from over 120 million patient records to support use cases like underwriting and care management. Founded in 2013 and based in San Mateo, California, Lumiata serves providers, payers, and digital health companies, enabling predictive analytics at scale while protecting privacy.
Syntiant designs neuromorphic semiconductors to enable artificial intelligence and machine learning at the edge. It develops ultra-low-power, high-performance neural network processors for always-on applications in battery-powered devices such as hearing aids, earbuds, smartphones, smart speakers and laptops, enabling on-device AI for sensor, voice, and video processing.
Avaamo is a deep-learning software company that specializes in enterprise conversational interfaces. It develops a platform that combines machine learning, conversation design, and integration with legacy enterprise workflows to automate the customer and employee service lifecycle, enabling enterprises to design and deploy bots and virtual assistants. The solution aims to improve engagement and reduce operational costs. Avaamo provides a mobile application on Android and iOS, was founded in 2014, and is based in Los Altos, California; it has a strategic partnership with Tech Mahindra.
Gamalon is an artificial intelligence company that develops machine intelligence technologies centered on Bayesian probabilistic programming. Founded in 2013 and based in Boston, the company builds a conversational machine intelligence platform that reads customer text, interprets and summarizes it, and makes predictions to help enterprises understand customer needs and take action. Its technology accelerates machine learning by enabling systems to write and rewrite Bayesian programs and convert streams of text into structured data rows through linking, allowing organizations to train models with limited data while achieving strong accuracy. By extracting insights from customer messages and enabling proactive actions, Gamalon aims to improve customer experiences and support informed decision making.
Dysonics, Inc. is a company specializing in the development of advanced audio software and hardware solutions designed for headphones, focusing on spatial audio and next-generation content such as virtual reality. Founded in 2011 and based in San Francisco, California, Dysonics emerged from research at the University of California, Davis, where its foundational technology was developed. The company offers innovative products like Rondo Motion, a wireless motion sensor for headphones, and Rondo player, which facilitates playback of non-DRM content. Dysonics' technologies are utilized in various applications, including teleconferencing, surveillance, home entertainment, and interactive multimedia experiences such as gaming and training simulators. Additionally, the company provides encoding technology that enhances in-flight entertainment by delivering cinematic surround sound experiences to airline passengers. Dysonics is committed to creating immersive audio experiences through patented algorithms, microphone and speaker arrays, head tracking sensors, and machine learning technologies tailored for personalized audio applications.
LegUp Computing
Seed Round in 2018
LegUp Computing Inc., founded in 2015 by Dr. Andrew Canis, Dr. Jongsok Choi, Ruolong Lian, and Professor Jason Anderson, develops a cloud platform that facilitates programming, deployment, scaling, and management of field-programmable gate array (FPGA) devices for accelerating high-performance applications such as low-latency database processing and machine learning workloads. Originally developed at the University of Toronto, LegUp's platform offers a novel programming model enabling threaded C/C++ software to target FPGAs connected to high-bandwidth networks efficiently. As of October 9, 2020, LegUp operates as a subsidiary of Microchip Technology Incorporated, headquartered in Toronto, Canada.
Prophesee
Series B in 2018
Prophesee develops neuromorphic vision systems that mimic the human eye's functionality. Its patented sensors and AI algorithms enable unprecedented speed (>10,000 fps), dynamic range (>120dB), data volume reduction (10x to 1000x), and power efficiency (<10 mW). Prophesee serves clients in autonomous driving, mobile devices, IoT, and industry sectors. Founded in Paris in 2014 by Ryad Benosman, Bernard Gilly, Christoph Posch, and Luca Verre, the company is backed by leading international investors.
True Fit Corporation is a technology company based in Woburn, Massachusetts, that specializes in developing an online fit recommendation engine tailored for the footwear and apparel sectors. Founded in 2005, True Fit offers a comprehensive platform that harnesses a vast database of consumer fit data and style attributes. This enables brands and retailers to deliver personalized fit ratings and size recommendations, significantly enhancing the shopping experience. The company's proprietary Genome technology powers the Confidence Engine, which drives substantial revenue growth by allowing retailers to offer tailored size suggestions. Additionally, True Fit's Discovery Engine curates customized collections for consumers, while the True Insight platform provides valuable analytics to optimize marketing and product development strategies. With a focus on leveraging artificial intelligence, True Fit aims to bridge the gap between shoppers and brands, transforming the digital landscape of the $1 trillion footwear and apparel industry.
Rubikloud
Series B in 2018
Rubikloud Technologies Inc., established in 2013 and headquartered in Toronto, Canada, specializes in developing and operating cloud-based enterprise data platforms powered by artificial intelligence (AI). The company caters to global retailers and consumer packaged goods (CPG) industries, offering solutions such as Retail AI for promotion effectiveness, forecasting, and optimization, and CPG AI for demand forecasting and trade promotion optimization. Rubikloud's flagship products include RubiCore, a big data platform for processing disparate data sources, RubiView for automated market and business intelligence reports, and RubiOne for personalized campaign management. The company operates globally with sales offices in the USA, the UK, and Hong Kong, serving multi-billion dollar clients. As of 2020, Rubikloud operates as a subsidiary of Kinaxis Inc.
Lumiata is a predictive health analytics company that applies artificial intelligence to healthcare data to deliver real-time, patient-level predictions. It builds a medical graph to organize symptoms, diagnoses, procedures and medications, enabling risk-bearing organizations such as payers, hospital networks, and population health programs to forecast health trajectories, cost, and care needs. The Lumiata Risk Matrix provides time-based predictions with explanations of medical reasoning. The platform combines big data, clinical knowledge, and proprietary intellectual property drawn from over 120 million patient records to support use cases like underwriting and care management. Founded in 2013 and based in San Mateo, California, Lumiata serves providers, payers, and digital health companies, enabling predictive analytics at scale while protecting privacy.
MCity
Venture Round in 2017
MCity is an autonomous vehicle research center located on the University of Michigan campus in Ann Arbor, Michigan. It serves as a unique testing facility that integrates early-stage research, real-world testing, and on-road vehicle deployments. MCty brings together industry, government, and academia to collaborate on advancements in transportation, focusing on enhancing safety, sustainability, and accessibility. The center is home to renowned researchers and provides an innovative urban environment for testing new mobility technologies, aiming to benefit society as a whole.
FogHorn is a developer of edge intelligence software tailored for industrial and commercial Internet of Things (IoT) applications. The company's platform enables advanced analytics and machine learning capabilities to be deployed in on-premises edge environments, facilitating applications such as monitoring, diagnostics, machine performance optimization, proactive maintenance, and operational intelligence. FogHorn's technology is particularly beneficial for original equipment manufacturers (OEMs), systems integrators, and end customers across various sectors, including manufacturing, energy, mining, transportation, healthcare, retail, and smart infrastructure initiatives like smart grids and connected vehicles. By enhancing edge computing with real-time analytics, FogHorn empowers businesses to integrate seamlessly with major cloud platforms, allowing for informed, analytics-driven decision-making.
MinIO, Inc. is a developer of a high-performance, open-source distributed object storage server that is fully compatible with Amazon S3 APIs. Founded in 2014 and based in Palo Alto, California, the company focuses on providing a minimal object storage solution optimized for cloud-native workloads, making it suitable for deployment in both public and private clouds, including Kubernetes environments. MinIO's platform enables enterprises to manage unstructured data effectively, supporting various applications such as machine learning, analytics, and data backup and archival processes. The company also hosts a MinIO play server, allowing developers and system administrators to familiarize themselves with its S3-compatible object storage capabilities.
Panoply Ltd. is a cloud data analytics company that offers an automated data management platform known as Panoply.io. Founded in 2015 and headquartered in Tel Aviv, Israel, with an additional office in San Francisco, California, the company simplifies complex data management tasks to enhance efficiency for analysts and data scientists. Panoply.io automates processes such as data modeling, normalization, and cleanup, enabling users to focus on analysis rather than data preparation. The platform employs advanced technologies, including machine learning and natural language processing, to adapt to users' needs and streamline data handling. By optimizing data workflows, Panoply significantly reduces the time and effort required for data management, allowing organizations to achieve greater productivity and faster insights.
Amenity Analytics
Series A in 2017
Amenity Analytics, Inc. is a New York-based company established in 2013 that specializes in cloud-based text analytics solutions. The firm leverages natural language processing and machine learning technologies to convert unstructured data into structured formats, enabling businesses to extract actionable insights from complex documents and narrative content. Its flagship product, Amenity Viewer, analyzes call transcripts to identify outliers, while custom solutions cater to various sectors including banking, insurance, hedge funds, and media. Amenity Analytics aims to help organizations navigate the challenges of information overload by providing precise and meaningful data insights without the need for coding.
Element AI
Series A in 2017
Element AI is an artificial intelligence company that develops and delivers AI solutions for organizations to identify opportunities to deploy AI and machine learning. It operates an AI as a Service platform that enables businesses to launch and scale AI initiatives in partnership with large corporations. The company maintains an in-house research and development laboratory to advance AI technologies and their deployment in computing infrastructure. Element AI serves industries including insurance, banking and capital markets, manufacturing, logistics, retail, and consumer packaged goods. Founded in 2016 and headquartered in Montreal with an additional office in Toronto, it combines software products, services, and tools that help clients operationalize AI, augment decision-making, and improve business performance. Element AI also maintains collaborations with academia and engages in policy discussions related to technology's societal impact, while acting as an integrator to help organizations adopt and implement AI solutions.
CognitiveScale
Funding Round in 2017
CognitiveScale, Inc. is a technology company specializing in augmented intelligence software tailored for the financial services, healthcare, and digital commerce sectors. Founded in 2013 and headquartered in Austin, Texas, with additional offices in New York City, London, and Hyderabad, the company leverages its Cortex augmented intelligence platform to integrate artificial intelligence and blockchain technology into enterprise systems. CognitiveScale’s product offerings include Cortex 5 for developing AI systems, an AI marketplace for collaboration among business experts, and Cortex Certifai for managing risks in automated decision-making. Additionally, the platform supports tools such as ENGAGE for enhancing customer interactions and AMPLIFY for intelligent process automation. The company holds over 100 AI patents and has established strategic partnerships with industry leaders, including IBM and Microsoft. CognitiveScale is recognized for its commitment to responsible AI and has a significant impact on improving business processes and customer experiences for Global 500 clients worldwide.
Falcon Computing
Series B in 2017
Falcon Computing is a technology company founded in 2014 by Dr. Jason Cong, a noted entrepreneur and academic leader in the field of computing. Headquartered in Santa Clara, California, with additional offices in Los Angeles and Beijing, the company focuses on facilitating accelerated computing for data scientists and software developers across various domains, including genomics, machine learning, finance, and computer vision. Falcon Computing provides automated compilation tools, runtime management tools, and acceleration libraries that enable users to integrate heterogeneous accelerating technologies into their existing infrastructures. By offering a streamlined process to convert C/C++ code into highly-optimized implementations for FPGAs, the company aims to enhance performance, energy efficiency, and productivity in both public and private cloud environments.
Mobileye
Acquisition in 2017
Mobileye specializes in developing and deploying advanced driver-assistance systems (ADAS) and autonomous driving technologies. The company leverages expertise in computer vision, machine learning, mapping, and data analysis to optimize mobility infrastructure.
Fortscale Security
Series B in 2017
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 has created an innovative platform that employs machine learning and predictive analytics to detect malicious user behavior and insider threats in real time. By embedding its behavioral analytics engine within existing security infrastructures, Fortscale enhances the ability of organizations to identify high-risk activities and improve decision-making processes. This integration allows for the automatic modeling of behaviors and the swift identification of anomalies, enabling enterprises to strengthen their security posture while reducing the workload on security analysts. Fortscale's solutions provide critical visibility and insights needed to uncover subtle attacks and enhance overall security effectiveness.
Mighty AI
Series B in 2017
Mighty AI, Inc. is a provider of Training Data as a Service, specializing in delivering high-quality datasets for businesses developing computer vision and natural language processing models. Established in 2014 and headquartered in Seattle, Washington, with an additional office in Detroit, Michigan, the company operates a platform that connects a global community of individuals who perform micro tasks, such as object identification in images and sentiment analysis of text. This community enhances the accuracy and scalability of the data provided, as Mighty AI combines its proprietary machine learning technology with a suite of annotation software and managed services. The company primarily serves clients in sectors like autonomous vehicles, leveraging its expertise and resources to meet the evolving needs of its customers worldwide. In January 2017, the company rebranded from Spare5 Inc. to Mighty AI, and it is currently a subsidiary of Uber Technologies, Inc.
Prophesee
Series B in 2016
Prophesee develops neuromorphic vision systems that mimic the human eye's functionality. Its patented sensors and AI algorithms enable unprecedented speed (>10,000 fps), dynamic range (>120dB), data volume reduction (10x to 1000x), and power efficiency (<10 mW). Prophesee serves clients in autonomous driving, mobile devices, IoT, and industry sectors. Founded in Paris in 2014 by Ryad Benosman, Bernard Gilly, Christoph Posch, and Luca Verre, the company is backed by leading international investors.
Dysonics, Inc. is a company specializing in the development of advanced audio software and hardware solutions designed for headphones, focusing on spatial audio and next-generation content such as virtual reality. Founded in 2011 and based in San Francisco, California, Dysonics emerged from research at the University of California, Davis, where its foundational technology was developed. The company offers innovative products like Rondo Motion, a wireless motion sensor for headphones, and Rondo player, which facilitates playback of non-DRM content. Dysonics' technologies are utilized in various applications, including teleconferencing, surveillance, home entertainment, and interactive multimedia experiences such as gaming and training simulators. Additionally, the company provides encoding technology that enhances in-flight entertainment by delivering cinematic surround sound experiences to airline passengers. Dysonics is committed to creating immersive audio experiences through patented algorithms, microphone and speaker arrays, head tracking sensors, and machine learning technologies tailored for personalized audio applications.
CognitiveScale
Series B in 2016
CognitiveScale, Inc. is a technology company specializing in augmented intelligence software tailored for the financial services, healthcare, and digital commerce sectors. Founded in 2013 and headquartered in Austin, Texas, with additional offices in New York City, London, and Hyderabad, the company leverages its Cortex augmented intelligence platform to integrate artificial intelligence and blockchain technology into enterprise systems. CognitiveScale’s product offerings include Cortex 5 for developing AI systems, an AI marketplace for collaboration among business experts, and Cortex Certifai for managing risks in automated decision-making. Additionally, the platform supports tools such as ENGAGE for enhancing customer interactions and AMPLIFY for intelligent process automation. The company holds over 100 AI patents and has established strategic partnerships with industry leaders, including IBM and Microsoft. CognitiveScale is recognized for its commitment to responsible AI and has a significant impact on improving business processes and customer experiences for Global 500 clients worldwide.
WSC Sports
Series B in 2016
WSC Sports Technologies Ltd specializes in creating customized short-form video content for the sports industry through the use of artificial intelligence and machine learning. Founded in 2011 and headquartered in Givatayim, Israel, with additional offices in Netanya and New York, the company offers a platform that automates the generation, management, and distribution of video content. This platform analyzes live sports events, identifying key moments to create tailored video clips, which can be shared across digital platforms. WSC Sports serves various stakeholders in the sports sector, including sports organizations, media rights holders, and coaching staff, providing tools like interactive video experiences and analytics software for basketball and football. The company has established partnerships with major entities such as the NBA, ESPN, and LaLiga, allowing them to enhance fan engagement and unlock new revenue opportunities.
Nervana
Acquisition in 2016
Nervana is a technology company founded in 2014 and headquartered in San Diego, California. It specializes in machine learning and artificial intelligence, offering a software-as-a-service platform that enables businesses to develop custom deep learning applications. The company's flagship product, Nervana Cloud, provides a comprehensive software solution that utilizes deep learning techniques to facilitate the creation of intelligent applications. Founded by experts in various fields, including machine learning, neuroscience, and chip design, Nervana aims to simplify and scale the use of brain-inspired algorithms in technology development.
Panoply Ltd. is a cloud data analytics company that offers an automated data management platform known as Panoply.io. Founded in 2015 and headquartered in Tel Aviv, Israel, with an additional office in San Francisco, California, the company simplifies complex data management tasks to enhance efficiency for analysts and data scientists. Panoply.io automates processes such as data modeling, normalization, and cleanup, enabling users to focus on analysis rather than data preparation. The platform employs advanced technologies, including machine learning and natural language processing, to adapt to users' needs and streamline data handling. By optimizing data workflows, Panoply significantly reduces the time and effort required for data management, allowing organizations to achieve greater productivity and faster insights.
True Fit Corporation is a technology company based in Woburn, Massachusetts, that specializes in developing an online fit recommendation engine tailored for the footwear and apparel sectors. Founded in 2005, True Fit offers a comprehensive platform that harnesses a vast database of consumer fit data and style attributes. This enables brands and retailers to deliver personalized fit ratings and size recommendations, significantly enhancing the shopping experience. The company's proprietary Genome technology powers the Confidence Engine, which drives substantial revenue growth by allowing retailers to offer tailored size suggestions. Additionally, True Fit's Discovery Engine curates customized collections for consumers, while the True Insight platform provides valuable analytics to optimize marketing and product development strategies. With a focus on leveraging artificial intelligence, True Fit aims to bridge the gap between shoppers and brands, transforming the digital landscape of the $1 trillion footwear and apparel industry.
Lumiata is a predictive health analytics company that applies artificial intelligence to healthcare data to deliver real-time, patient-level predictions. It builds a medical graph to organize symptoms, diagnoses, procedures and medications, enabling risk-bearing organizations such as payers, hospital networks, and population health programs to forecast health trajectories, cost, and care needs. The Lumiata Risk Matrix provides time-based predictions with explanations of medical reasoning. The platform combines big data, clinical knowledge, and proprietary intellectual property drawn from over 120 million patient records to support use cases like underwriting and care management. Founded in 2013 and based in San Mateo, California, Lumiata serves providers, payers, and digital health companies, enabling predictive analytics at scale while protecting privacy.
Itseez
Acquisition in 2016
Itseez, Inc. is a technology company that specializes in computer vision software solutions and consulting services. Founded in 2005, originally as Computer Vision Center Argus Ltd., Itseez has developed a range of advanced products, including the Open Source Computer Vision Library (OpenCV), which provides algorithms for tasks such as face detection, object recognition, and 3D modeling. The company offers specific solutions for automotive applications, including Advanced Driver Assistance System algorithms for functionalities like traffic sign recognition and pedestrian detection. Additionally, Itseez provides technologies such as Facense for face analysis, the itSeez3D mobile 3D scanning application, and Accelerated CV for ARM platforms. Itseez also engages in custom algorithm development across various fields, including augmented reality and deep learning. The company serves multiple markets, including automotive, security, and consumer applications. Headquartered in San Francisco, California, Itseez operates as a subsidiary of Intel Corporation.
Reflektion
Series B in 2016
Founded in 2012, Reflektion develops an artificial intelligence-driven platform that personalizes online shopping experiences. It analyzes individual shopper behavior and intent in real-time to deliver relevant content and products across various digital touchpoints, including site search, product recommendations, emails, and more.
DataRobot
Series B in 2016
DataRobot develops an automated machine learning platform that enables users across various industries to build predictive models. Its cloud-based solution, DataRobot Cloud, offers a project-based curriculum for gaining insights from data scientists. The company also provides DataRobot MLOps for deploying and managing machine learning models, along with enterprise features like flexible deployment and governance in its DataRobot Enterprise solution.
ParallelM
Venture Round in 2015
ParallelM, Inc. is a dedicated machine learning operations (MLOps) company based in Santa Clara, California. The company focuses on creating solutions that enable organizations to scale the deployment, management, and governance of machine learning applications across various platforms and environments, whether on cloud or on-premise. Its flagship software platform, MCenter, automates the deployment, scaling, and ongoing management of machine learning services in production. ParallelM's technology also facilitates real-time monitoring and operationalization of machine learning and data science processes, allowing businesses to manage multiple pipelines effectively and identify inaccuracies in predictions through machine learning health indicators. As of June 2019, ParallelM operates as a subsidiary of DataRobot, Inc.
Body Labs
Series A in 2015
Body Labs, Inc. is a company that specializes in collecting and digitizing data related to human body shape, pose, and motion. Founded in 2013 and based in New York, the company aims to create a digital platform that facilitates the design, production, and sale of goods and services tailored to individual body types. Body Labs offers solutions such as Body Labs Blue, which utilizes artificial intelligence and machine learning to predict multiple body measurements for custom clothing or sizing recommendations based on basic client data. Additionally, Body Labs Red processes scan data into 3D digital body models. The company also provides various professional services, including scan processing, virtual fit modeling, and population analysis, to support product development across different industries. As of October 2017, Body Labs operates as a subsidiary of Amazon.com, Inc.
BlueData is a provider of a leading container-based software platform designed for artificial intelligence, machine learning, data science, and big data analytics. The company focuses on helping enterprises accelerate their deployment processes, facilitating faster time-to-value and reducing total cost of ownership. By leveraging Docker container technology and patented innovations, BlueData simplifies and streamlines the deployment of a range of applications, including Spark, Kafka, TensorFlow, and Hadoop. This approach enables organizations to access big data infrastructure and analytics capabilities on demand, ultimately making the deployment of analytics and machine learning applications faster and more cost-effective.
Dialogflow
Series C in 2015
Dialogflow is a platform that specializes in creating conversational user experiences, allowing brands to engage in natural language interactions across various devices, applications, and services. The company offers tools for speech recognition, natural language processing, and conversation management, which help developers enhance customer satisfaction and streamline business processes without extensive coding. Dialogflow's technology can understand a wide range of user requests by leveraging pre-built knowledge packages derived from billions of user queries, making it accessible for users to interact with mobile phones and tablets in a conversational manner.
Founded in 2011, Got It operates a global online marketplace connecting students with tutors. Utilizing AI, it offers efficient coaching solutions worldwide.