Visual Layer is a developer of a visual data management platform that enables the efficient management and curation of image and video datasets. The platform utilizes a proprietary graph engine to automatically identify data quality issues, such as corrupted images and incorrect labels, while also detecting outliers. By providing suggestions for correction, Visual Layer helps clients maintain high-quality datasets, thereby enhancing data performance and accuracy. This approach allows organizations to handle visual data at scale, ensuring that their datasets are reliable and effective for various applications.
AssemblyAI Inc. is a technology company that specializes in providing a robust speech-to-text application programming interface (API) designed for developers. Established in 2017 and headquartered in San Francisco, the company offers a high-accuracy API powered by advanced deep neural networks, ensuring continuous improvements to its transcription capabilities. AssemblyAI's API allows developers to create customized chat interfaces and voice-powered applications, enabling the transcription of phone calls and other audio sources. The service is designed for easy integration, supporting multiple programming languages, and it can handle large volumes of audio files or streams with low latency. AssemblyAI also offers dedicated customer support, including access to account managers and engineers available around the clock to assist users.
Deci is a technology company that specializes in developing a deep learning platform aimed at enhancing the efficiency of artificial intelligence models. Founded in 2019 and based in Givatayim, Israel, Deci utilizes its proprietary AutoNAC (Automated Neural Architecture Construction) technology to optimize the architecture of deep learning models, thereby maximizing hardware utilization and improving inference performance. This platform enables data scientists and developers to transform their AI models into production-ready solutions that can operate across various environments, including cloud, edge, and mobile. By streamlining the AI lifecycle and addressing production-related bottlenecks, Deci empowers enterprises to create innovative AI solutions that tackle complex challenges effectively.
Operator of an artificial intelligence-powered online job simulation assessment platform designed to help companies screen job candidates. The company's platform allows companies to evaluate candidates for any position, and reduce the chances of a bad hire by creating tailor-made job simulation tests, helping businesses to hire people based on how they will actually do the job, not based on resumes and statements.
Unlearn is a San Francisco-based company founded in 2017 that specializes in using artificial intelligence to enhance clinical research. It develops innovative software tools aimed at improving clinical trial design, including the creation of Digital Twins to generate Intelligent Control Arms. By utilizing historical datasets and disease-specific machine-learning models, Unlearn produces virtual placebo patients derived from actual patient baseline data, which helps to increase trial power, accelerate timelines, and provide patient-level insights. This approach reduces or eliminates the need for concurrent control arms in clinical studies, streamlining the research process. Unlearn has garnered significant attention, securing $20 million in funding and collaborating with leading pharmaceutical companies. Its work has been recognized in prestigious publications, including a peer-reviewed article in Nature, and it has been acknowledged as a key player in digital health innovation. The company continues to engage with regulators and industry leaders to drive advancements in clinical research through the application of AI technologies.
Kubit AI, Inc. is a Fremont, California-based company that specializes in designing and developing analytical software utilizing artificial intelligence and machine learning technologies. Founded in 2018, Kubit offers a Smart Analytics platform that transforms data warehouses into powerful analytics tools, facilitating deep data discovery and insights. The software provides capabilities for benchmark analysis, including metrics on engagement, retention, and performance, as well as automated diagnostics to detect anomalies and identify root causes. Additionally, it supports collaborative decision-making through standardized communication processes. Kubit serves a diverse range of industries, including music, media, entertainment, education, social, e-commerce, travel, and gaming, making advanced data analytics accessible to various sectors.
Run:AI designs and develops an application software that creates an abstraction layer to analyze the computational characteristics of the workloads and optimize the execution using graph-based parallel computing algorithms. The company was founded in 2018 and is based in Tel-Aviv, Israel.
Kintsugi utilizes machine learning and voice biomarkers to detect clinical depression and anxiety, providing innovative talk therapy software to users in over 250 cities worldwide. By analyzing short clips of free-form speech, the company has developed a mental healthcare infrastructure that identifies signs of these conditions, thereby assisting medical practitioners in addressing gaps in mental health care. Kintsugi has amassed the world's largest longitudinal, annotated voice data set for this purpose, resulting in the creation of a clinical-grade voice biomarker diagnostic, which is currently pending patent and FDA approval. This technology aims to measure the severity of depression and anxiety in real-time, offering a more effective approach to mental health assessment and intervention.
Provider of dubbing services intended to bridge the language barrier and cultural gap of entertainment experiences to international audiences. The company's services use deep learning technology and AI algorithms, enabling content owners to reach far wider audiences.
Pecan is an AI-based predictive analytics platform that streamlines the creation and deployment of predictive models for various business applications, including customer lifetime value, churn prediction, and market segmentation. Founded in 2016 and headquartered in Tel Aviv, Israel, Pecan eliminates the need for data preparation or engineering by directly connecting to raw data. The platform features a low-code interface and pre-built models that automate the predictive process, allowing organizations to generate and implement AI models within days, without requiring data science expertise. This comprehensive approach enables businesses to make informed decisions by predicting future outcomes and identifying actionable insights efficiently.
Wandelbots GmbH, based in Dresden, Germany, is a startup focused on simplifying the programming of industrial robots. The company has developed sensor-attached wearables that allow users to teach robots through demonstration, eliminating the need for coding. By wearing a suit equipped with sensors, operators can perform tasks that the robots then learn to replicate. Wandelbots' software tracks these movements and creates machine learning models from multiple demonstrations, which generate automation workflows that can be refined and optimized. The system is designed to be self-adaptive, allowing robots to adjust to dynamic environments through automatic anomaly detection and process adaptation. This innovative approach significantly reduces the time and cost associated with automation projects, making it accessible for both small and large enterprises.
Turing Labs Inc. is an artificial intelligence company that has developed a platform designed to enhance the research and development process for consumer packaged goods (CPG). Founded in 2019 and headquartered in New York, the platform allows CPG teams to simulate testing of various product formulations, thereby improving speed-to-market and innovation. By integrating historical data and utilizing advanced analytics, Turing's platform evaluates numerous product variants, suggests optimal formulations, and identifies areas requiring further research. This approach enables companies to create better products, explore new brand formats, and adapt to evolving consumer demands without the need for extensive physical testing. The company also operates an additional office in Burlington, Canada.
Iterative Scopes, Inc. is a Boston-based company founded in 2017 that specializes in developing machine learning-powered diagnostic tools for gastroenterologists aimed at preventing colon cancer. The company utilizes computer vision and machine learning technologies to provide real-time computer-aided detection and diagnostic tools, which enhance the ability of doctors to detect and categorize lesions during procedures. These tools are designed to improve patient outcomes by identifying lesions that may be missed by the human eye. Additionally, Iterative Scopes offers access to deep neural networks trained by experienced gastrointestinal specialists, thereby expanding the availability of advanced diagnostic capabilities for healthcare providers globally.
Relevance AI is a developer of a versatile platform that transforms unstructured data, such as text and images, into actionable insights. The platform leverages artificial intelligence to analyze qualitative data with minimal labeling or training, allowing businesses to efficiently uncover patterns without extensive manual effort. Designed for companies of all sizes, it enables users to automate complex reasoning tasks and incorporate search functionalities into their websites or applications without requiring extensive coding or technical expertise. This user-friendly approach democratizes access to advanced AI capabilities, making it easier and more affordable for organizations to harness the potential of their data.
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.
Deci is a technology company that specializes in developing a deep learning platform aimed at enhancing the efficiency of artificial intelligence models. Founded in 2019 and based in Givatayim, Israel, Deci utilizes its proprietary AutoNAC (Automated Neural Architecture Construction) technology to optimize the architecture of deep learning models, thereby maximizing hardware utilization and improving inference performance. This platform enables data scientists and developers to transform their AI models into production-ready solutions that can operate across various environments, including cloud, edge, and mobile. By streamlining the AI lifecycle and addressing production-related bottlenecks, Deci empowers enterprises to create innovative AI solutions that tackle complex challenges effectively.
Weights & Biases, Inc. is a technology company founded in 2017 and based in San Francisco, California, that specializes in developing tools for machine learning practitioners. The company operates an artificial intelligence platform designed to assist users in visualizing and debugging machine learning models. Weights & Biases aims to support organizations in transforming deep learning research projects into deployed software by providing features that allow teams to track their models, visualize model performance, and automate the training and enhancement of these models. Their solutions focus on optimizing datasets and improving the overall quality of machine learning applications.
Monolith AI Limited is a software company based in London, UK, that focuses on enhancing the engineering design process through advanced machine learning and data science. Established in 2016, the company specializes in developing predictive design software that integrates engineering simulations with machine learning algorithms. This innovative approach allows engineers to leverage historical simulation and test data to anticipate the performance of new products, thus streamlining the research and development process. By reducing the need for extensive simulations, tests, and prototypes, Monolith AI enables clients to accelerate product development while improving reliability and reducing manufacturing errors.
Dataiku is a software company that provides a centralized data platform designed to assist businesses in navigating their data journey, from analytics to enterprise artificial intelligence. Founded in 2013 and headquartered in New York, with offices in Paris and London, Dataiku offers its main product, Data Science Studio (DSS), which enables teams of data scientists, analysts, and engineers to collaboratively explore, prepare, and analyze data. The platform features tools for data profiling, interactive visualization, and machine learning deployment, allowing organizations to build and manage custom data products efficiently. Dataiku serves a diverse clientele, including major companies like Unilever and GE, by facilitating data-driven decision-making and fostering innovation through a controlled and collaborative environment. The platform aims to streamline the process of extracting value from data, empowering teams to work more effectively and creatively.
Dataiku is a software company that provides a centralized data platform designed to assist businesses in navigating their data journey, from analytics to enterprise artificial intelligence. Founded in 2013 and headquartered in New York, with offices in Paris and London, Dataiku offers its main product, Data Science Studio (DSS), which enables teams of data scientists, analysts, and engineers to collaboratively explore, prepare, and analyze data. The platform features tools for data profiling, interactive visualization, and machine learning deployment, allowing organizations to build and manage custom data products efficiently. Dataiku serves a diverse clientele, including major companies like Unilever and GE, by facilitating data-driven decision-making and fostering innovation through a controlled and collaborative environment. The platform aims to streamline the process of extracting value from data, empowering teams to work more effectively and creatively.
ScreenPoint Medical B.V., founded in 2014 and based in Nijmegen, the Netherlands, specializes in artificial intelligence software designed to aid radiologists in interpreting digital breast tomosynthesis (DBT) and mammography exams. The company develops advanced deep learning and image analysis technologies that enhance the accuracy and efficiency of breast cancer detection. By leveraging extensive curated digital image databases and a comprehensive understanding of mammogram image formation, ScreenPoint Medical's solutions improve diagnostic consistency and reduce unnecessary patient recalls. Their flagship product, Transpara, supports healthcare professionals in identifying breast cancer at earlier stages, ultimately contributing to more effective and less invasive treatment options.
Rasgo Intelligence, Inc. is a New York-based company that has developed a platform to streamline the machine learning modeling process for enterprises. Founded in 2020, Rasgo's platform assists data scientists in organizing, cleaning, and transforming raw data into analysis-ready formats, thereby enhancing efficiency in the pre-model preparation stages. Key features of the platform include the Feature Graph, which integrates and uncovers useful features for modeling; the Feature Repository, which allows for the storage and sharing of feature code; and the Feature Orchestrator, which executes feature code to prepare data for training. By focusing on data acquisition, integration, and feature engineering, Rasgo aims to eliminate repetitive tasks and accelerate the overall data science workflow.
Fiddler Labs, Inc. is a company that specializes in developing an artificial intelligence platform designed to help businesses analyze, manage, and deploy their machine learning models effectively. Founded in 2018 and headquartered in Palo Alto, California, Fiddler offers an Explainable AI Engine that promotes transparency and understanding in AI solutions. This platform allows users across data science, product, and business teams to comprehend, validate, and manage their AI implementations, ensuring that these systems deliver reliable and trustworthy experiences for end-users. By providing statistical metrics, performance monitoring, and centralized controls, Fiddler aims to make AI more accessible and trustworthy for enterprises, ultimately unlocking the complexities of AI and enhancing user confidence in its applications.
Explorium Ltd. operates a platform based on artificial intelligence technology (AI) to solve the issues faced in predictive model building process, such as data integration, data enrichment, and feature engineering. The company's platform allows data specialists to build machine learning models based on the data available. It automatically scours the Web and the enterprise to find the answer to the prediction question through relevant data and features. The company has applications in e-commerce and retail, financial services, marketing, and operations and services sectors. The company was incorporated 2017 and is based in Tel Aviv, Israel.
Weights & Biases, Inc. is a technology company founded in 2017 and based in San Francisco, California, that specializes in developing tools for machine learning practitioners. The company operates an artificial intelligence platform designed to assist users in visualizing and debugging machine learning models. Weights & Biases aims to support organizations in transforming deep learning research projects into deployed software by providing features that allow teams to track their models, visualize model performance, and automate the training and enhancement of these models. Their solutions focus on optimizing datasets and improving the overall quality of machine learning applications.
Run:ai offers a platform designed to streamline AI infrastructure management and optimize resource allocation. The company focuses on enabling organizations to efficiently utilize GPUs and other hardware for AI initiatives, facilitating faster development cycles. By providing tools for workload scheduling and resource pooling, Run:ai supports enterprises in enhancing their AI capabilities.
Zest AI makes the power of machine learning safe to use in credit underwriting. The Zest Model Management System enables lenders to analyze vast amounts of credit data to help increase approval rates and reduce the risk of faulty credit decisions. The platform also provides the ability to explain data modeling results to measure business impact and help comply with regulatory requirements. Lenders using Zest AI software make better decisions and better loans—increasing revenue, reducing risk, and automating compliance. Zest AI was founded in 2009 with the mission of making fair and transparent credit available to everyone. Learn more at http://www.zest.ai.
Clinc, Inc. is a company that specializes in developing artificial intelligence software applications, primarily focused on creating advanced conversational AI platforms. The technology enables enterprises to build sophisticated virtual assistants capable of understanding and responding to user input with a high degree of accuracy. Unlike traditional speech-to-text systems, Clinc's platform analyzes various factors such as wording, sentiment, intent, tone of voice, and contextual information to provide nuanced responses. This approach is powered by cutting-edge machine learning and deep neural networks, which allow the system to continually enhance its knowledge base with each interaction. Originally founded in 2015 as Clarity Lab Inc., Clinc serves multiple industries, including banking, automotive, gaming, and healthcare, and is headquartered in Ann Arbor, Michigan.
Featurespace is the world-leader in Adaptive Behavioural Analytics and creator of the ARIC™ platform, a machine learning software system developed out of the University of Cambridge. The ARIC™ platform uses anomaly detection to analyse complex behavioural data in real time, spotting anomalies to block new fraud attacks as they occur. At the same time, Featurespace recognises genuine customers without blocking their activity. ARIC™ reduces the number of genuine transactions incorrectly identified as fraud by over 70%, enabling businesses to accept more revenue.
Head quartered in Cambridge, UK, and Atlanta, GA, U.S. Featurespace has deployed the ARIC™ platform to organisations that have services or products deployed in over 180 countries. Customers include Betfair, Vocalink/Zapp, Worldpay, and TSYS, the largest third-party processor of Visa® and MasterCard® credit cards in the U.S.
Cylance Inc. specializes in developing artificial intelligence-based cybersecurity solutions that focus on predictive threat prevention. Founded in 2012 and headquartered in Irvine, California, the company utilizes advanced algorithms and machine learning to identify threats, including malware, ransomware, and other cyber attack vectors, before they can cause harm. Cylance's offerings encompass a range of services, including AI-driven malware prevention, application control, memory protection, and automated threat detection and response. The company also provides consulting services, incident response, and educational programs, catering to various sectors such as critical infrastructure, healthcare, finance, government, and retail. As of early 2019, Cylance operates as a subsidiary of BlackBerry Limited, further enhancing its capabilities in the cybersecurity landscape.