Moises is an audio-tech company that leverages machine learning and data science in relation to music & audio processing.
Included is a platform designed to enhance diversity, equity, and inclusion (DEI) within organizations by providing comprehensive employee analytics. The platform gathers and analyzes demographic data throughout the employee lifecycle, offering insights into performance and engagement. By leveraging a machine learning-driven projection engine, Included identifies trends and generates actionable recommendations to help organizations improve their DEI initiatives. This all-in-one solution enables companies to effectively measure their diversity efforts, track progress, and connect with their workforce, ultimately supporting the scaling of their diversity programs and enhancing employee retention.
Replicant is an AI voice technology that solves problems over the phone, improves customer experience, and reduces cost.
Replicant was founded on the belief that machines are ready to have useful, complex conversations that will transform the way they interact with the world. The company's initial focus was making Replicant listen closely, think quickly, take actions, and reply fast enough to be conversational. The brain needed to understand complex and colloquial speech patterns and interpret slang and humor. Piece by piece we built elegant tools that allowed Replicant to listen, think, speak, act and interact with the world.
Syntiant is moving artificial intelligence and machine learning from the cloud to edge devices. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors for always-on applications in battery-powered devices, such as smartphones, smart speakers, earbuds, hearing aids, and laptops.
It was founded in 2017 and is headquartered in Irvine, California.
We manage visual data so companies can make machines learn better
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.
Lincode Labs Inc. is a technology company focused on providing software solutions for manufacturing enterprises to enhance product quality by identifying and eliminating defects. Its primary offering, LIVIS, is an AI-driven computer vision system designed to detect surface imperfections across a range of materials, including plastic, fabric, semiconductors, and metals. In addition to defect detection, LIVIS supports visual inspections, product efficiency improvements, warehouse automation, employee automation, as well as reporting and analysis functions. The company serves various sectors such as automotive, pharmaceutical, electronics, garments, steel, and print and packaging. Founded in 2018, Lincode is headquartered in Menlo Park, California, with an additional office located in Bengaluru, India.
Developer of a self-learning artificial intelligence-based decision engine designed to make promotions profitable. The company's engine allows users to divide customers into different segments and find the suitable offer for each segment using machine learning, enabling business owners to send personalized offers to customers and continuously learn from customers' responses.
Quantum Machines is a start-up focused on creating advanced control and operation systems for quantum computers. Founded in 2018 and based in Tel Aviv, Israel, the company develops a combination of software, hardware, and electronics that integrates classical engineering techniques with the principles of quantum computing. Their innovative quantum controllers translate quantum algorithms into pulse sequences, facilitating the execution of complex quantum algorithms and experiments across various industries. By leveraging expertise in algorithm development, digital signal processing, RF microwave engineering, machine learning, and quantum physics, Quantum Machines aims to enhance the capabilities and accessibility of quantum computing technology.
Nixtla is a time series research and deployment company founded in 2021 and headquartered in Brooklyn, New York. The company specializes in developing artificial intelligence solutions that facilitate the understanding, classification, and prediction of time series data. Nixtla offers a software development platform that allows developers and data scientists to create open-source forecasting software easily. Users can set up cloud-based time series processing services and utilize continuous integration and deployment to manage APIs on the company's infrastructure. This enables clients to develop features at both the time series and temporal levels, streamlining the production-ready forecasting process.
Banana is a machine learning platform designed for developers, enabling them to train, deploy, and run custom models with ease. The platform offers an API that streamlines the process of managing machine learning workloads, allowing users to compartmentalize and parse through information efficiently. By providing models as an API and hosting custom models, Banana facilitates a hassle-free experience for developers, eliminating the need for extensive learning curves while working with machine learning technologies. This approach empowers developers to integrate machine learning capabilities into their applications quickly and effectively.
DevSentient streamlines workflow for AI and Data-intensive products. DevSentient Hyperplane is an end-to-end platform designed to take AI teams from ideation to production at breakthrough speeds. The company built Hyperplane because it needed a powerful platform for our scientists to design, develop, deploy and maintain their own work in production. The company was founded in 2021 and is based in Toronto, Ontario, Canada.
Algolux is a Canadian AI software company specializing in advanced perception technology for vision systems across various sensor types and challenging conditions. Founded by a team of recognized researchers led by Dr. Felix Heide, Algolux develops machine learning tools that enhance the performance and safety of vision systems while reducing costs and time-to-market. Their flagship product, Eos, offers superior accuracy in complex scenarios, enabling advanced multi-sensor fusion and serving as a cost-effective alternative to Lidar when paired with depth-sensing cameras. Additionally, their Atlas solution automates camera tuning, streamlining the process of achieving optimal image quality for computer vision tasks. By leveraging deep perception technology and computational imaging, Algolux provides clients with improved capabilities in camera design and image processing, addressing challenges in various environments, including extreme lighting and adverse weather.
ThreatWarrior is a cloud-native network threat intelligence platform designed to address both known and unknown cyber threats in real time. The platform employs an agentless, deep learning architecture to analyze network traffic, effectively eliminating blind spots, identifying security vulnerabilities, and mitigating active threats across on-premises, cloud, and hybrid environments. By integrating unsupervised neural networks, continuous deep packet inspection, behavior monitoring, network intelligence, and automated response, ThreatWarrior provides a comprehensive solution for organizations. This enables users to gain visibility into their network activities, understand the behavior of all communications within their enterprise, and respond promptly to threats that may be overlooked by other solutions.
Singuli is an optimization platform for modern retail for retailers who are hindered in managing merchandise-planning with spreadsheets, reports, and legacy tools. This SaaS platform uses real-time data-sets and advanced machine learning to provide demand forecasting and inventory optimization tools that yield dramatic improvements in margins and working capital utilization.
Analog Inference is a company focused on advancing neural computing through innovative technology. Founded by experienced professionals from the computing industry and supported by Khosla Ventures, the company is developing its first generation of products. It specializes in deep sub-threshold analog in-memory computation, which allows for the execution of complex neural networks at full resolution while maintaining low latency and eliminating the need for active cooling. This technology enables the performance of data-center-grade artificial intelligence workloads with significantly reduced power consumption, facilitating the deployment of server-class networks in more cost-effective devices.
Kettle Inc. is an innovative company based in Kensington, California, specializing in online risk analysis for the insurance industry. Founded in 2020, Kettle develops a machine-learning powered platform that utilizes deep learning algorithms to analyze over seven billion lines of satellite, weather, and ground truth data. By employing Swarm Neural Networks, the platform identifies patterns that enhance the accuracy of risk predictions related to climate change, thereby assisting insurers in managing catastrophic risks. Kettle's approach aims to improve underwriting processes and reduce loss ratios, enabling the sale of reinsurance to other insurers while effectively balancing risk in an evolving climate landscape.
pulseData, Inc. is a New York-based company founded in 2015 that specializes in developing machine learning software tailored for healthcare providers. The company's platform leverages adaptive and predictive data science tools to identify patients at risk of adverse medical outcomes, enabling healthcare organizations to deliver targeted care to those who need it most. By analyzing vast amounts of data, including individual patient information and population patterns, pulseData aids care management teams in providing timely and effective interventions. This approach not only enhances patient care but also aims to reduce preventable illnesses and optimize medical cost savings for healthcare enterprises.
Lang.ai is a language processing platform founded in 2012 and headquartered in Madrid, Spain, with additional offices in the United States and Mexico. The company specializes in automating workflows involving unstructured text, utilizing advanced artificial intelligence techniques such as intent customization and real-time self-supervised classification. Its software is particularly effective for analyzing customer feedback, including surveys, emails, and chat interactions, enabling businesses to enhance customer experience and streamline operations. Lang.ai serves a diverse range of enterprise clients across Europe, America, and Asia, including major organizations such as Santander and Vodafone. The platform is designed for easy installation and cost optimization, making it a valuable tool for businesses looking to improve efficiency in handling text-based data.
Mage is a tool that helps developers use AI and their data to make predictions. Use cases include churn prevention, product recommendations, customer lifetime value, and more. Our mission is to equip businesses with accessible AI technology so they can deliver transformational customer experiences. A mage is someone who uses magic. Advanced technology is indistinguishable from magic. We empower individuals with magic by equipping them with AI technology.
Divinia is a company founded in 2020 in Cupertino, California, that focuses on enhancing the search experience for consumers, marketers, and e-commerce platforms through advanced Natural Language Processing technologies. By utilizing AI-driven methods such as Unsupervised Learning and Sentiment Analysis, Divinia aims to deliver accurate and unbiased search results at scale. The company's software effectively extracts and indexes genuine insights from online reviews, allowing businesses to provide tailored product suggestions and improve their search functionalities. This innovative approach not only enhances the consumer experience but also leads to increased conversion rates and valuable lead generation opportunities for marketers and e-commerce sites.
Chooch Intelligence Technologies, operating as Chooch AI, is a visual artificial intelligence training platform based in San Mateo, California. Founded in 2015, the company specializes in object and facial recognition through its advanced neural network perception library, which utilizes machine learning for data analysis. Chooch AI offers a range of services including edge AI, cloud AI, AI APIs, facial authentication, AI training, and COVID-19 cough detection. Its technology is implemented across various sectors such as healthcare, security, digital media, and retail, providing solutions for applications like surgical tracking, mask detection, social distancing compliance, and intrusion monitoring. The platform is designed to generate AI models that ensure fast and accurate visual detection, making it suitable for both enterprises and government use.
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.
12traits is the missing piece to understanding human behavior in digital environments.
Gradient is an easy to use reinforcement learning powered decision making platform.
Joyne is a web-based estimating and takeoff software supplier for the construction sector. Joyne uses artificial intelligence and machine learning to automate the estimating and material purchasing processes for the building and construction industries. Joyne is headquartered in Denver, Colorado and was founded in 2017.
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.
AI.Reverie, Inc. is a company that specializes in developing a simulation platform designed to generate synthetic data and simulations for businesses. Founded in 2016 and based in San Jose, California, the platform assists organizations in training their machine learning algorithms and enhancing their artificial intelligence applications. AI.Reverie's offerings include a suite of synthetic data and vision APIs that enable clients to create customized virtual environments. This technology supports various industries by facilitating the development of smart cities, sustainable farms, and safer homes. Through its innovative approach, AI.Reverie aims to improve the efficiency and effectiveness of AI solutions across diverse applications.
Lunchclub is an AI-driven platform founded in 2018 by Vladimir Novakovski, Hayley Leibson, and Scott Wu, headquartered in San Francisco, California. The service specializes in facilitating one-on-one meetings, such as lunches and coffee chats, by connecting users with potential business partners, team members, or investors. Through its innovative approach, Lunchclub enables clients to make meaningful introductions that support their professional objectives, fostering collaboration and advancement within various fields. The platform emphasizes the importance of personalized connections to enhance networking opportunities and help users achieve their goals.
AI.Reverie, Inc. is a company that specializes in developing a simulation platform designed to generate synthetic data and simulations for businesses. Founded in 2016 and based in San Jose, California, the platform assists organizations in training their machine learning algorithms and enhancing their artificial intelligence applications. AI.Reverie's offerings include a suite of synthetic data and vision APIs that enable clients to create customized virtual environments. This technology supports various industries by facilitating the development of smart cities, sustainable farms, and safer homes. Through its innovative approach, AI.Reverie aims to improve the efficiency and effectiveness of AI solutions across diverse applications.
Lily AI is the leader in predictive psychographics for retail e-commerce. Consumer spending online for apparel now accounts for over 27% of all clothing sales. Retailers need to understand each consumer’s emotional context while they are actively shopping. Lily AI combines deep product tagging with deep, real-time psychographic analysis to determine the active state of mind of each shopper, and turns that into precise and timely recommendations. These recommendations are proven to lead to higher conversions and lower return rates. Lily AI (lilystyle.ai) was founded by two women who believe clothes to reflect how they feel about themselves. The company is venture-backed and headquartered in Mountain View, CA.
Lily AI is the leader in predictive psychographics for retail e-commerce. Consumer spending online for apparel now accounts for over 27% of all clothing sales. Retailers need to understand each consumer’s emotional context while they are actively shopping. Lily AI combines deep product tagging with deep, real-time psychographic analysis to determine the active state of mind of each shopper, and turns that into precise and timely recommendations. These recommendations are proven to lead to higher conversions and lower return rates. Lily AI (lilystyle.ai) was founded by two women who believe clothes to reflect how they feel about themselves. The company is venture-backed and headquartered in Mountain View, CA.
StoryFit Inc. offers artificial intelligence insights and machine learning solutions for the book publishing, movie, and television production industries. The company’s products include StoryFit Metadata and StoryFit Analytics, which enables the publisher to analyze the metadata using artificial intelligence and provide insights related to audience targeting, reader personas, writing evaluation, faceted comps, and informed marketing intelligence. StoryFit Inc. was incorporated in 2014 and is headquartered in Austin, Texas.
Pienso is a machine learning platform for non-programmers. Pienso’s end to end Intelligent Development Environment allows non-programming experts to create and train their own machine learning models without the need for external support. Founded in 2016 by Birago Jones, CEO and Karthik Dinakar PH.D, CTO. Pienso is headquartered in the Brooklyn Navy Yard’s New Lab in Brooklyn, New York. For more information visit: http://pienso.com/ and follow @Pienso_ML.
Tara.AI is a software company based in San Jose, California, founded in 2016. It has developed a predictive product management platform that utilizes artificial intelligence and machine learning to assist organizations in software development. The platform connects projects with freelance programmers, simplifying the process of scoping, resource allocation, and product building. Tara.AI aims to enhance efficiency for cross-functional teams by providing a user-friendly solution that improves predictability in project delivery. Since launching its public beta in April 2020, the platform has gained traction among engineers and product teams, helping them meet deadlines and stay within budget.
Determined AI, founded in 2017 and based in San Francisco, California, specializes in developing a deep learning management platform that streamlines the process of building and deploying machine learning models. The company's platform enhances developer productivity by facilitating distributed training and hyperparameter searches, while also automating the tracking, sharing, and reproduction of experiments and metrics. This approach allows clients to significantly reduce their time-to-market, improve resource utilization, and mitigate risks associated with model development. Through its innovative software, Determined AI aims to transform the efficiency and effectiveness of deep learning workflows.
StoryFit Inc. offers artificial intelligence insights and machine learning solutions for the book publishing, movie, and television production industries. The company’s products include StoryFit Metadata and StoryFit Analytics, which enables the publisher to analyze the metadata using artificial intelligence and provide insights related to audience targeting, reader personas, writing evaluation, faceted comps, and informed marketing intelligence. StoryFit Inc. was incorporated in 2014 and is headquartered in Austin, Texas.
EyeLevel.ai specializes in native marketing solutions for chat and conversational experiences, utilizing data from user interactions with AI-driven messaging assistants. The platform enables brands to establish personalized and contextual connections with consumers by delivering promotional messages through digital assistants and applications. Serving a diverse range of industries, EyeLevel.ai focuses on helping businesses engage with both new and existing customers through targeted and interactive brand experiences, positioning their offerings at eye level during every interaction. This approach allows consumers to experience advertising in a more engaging manner, moving away from traditional invasive ads to more meaningful connections.
SimpleMachines, Inc. is a semiconductor design and development company based in Madison, Wisconsin, established in 2016. It specializes in creating a Software-Defined Compute platform that addresses the evolving demands of artificial intelligence, virtual reality, machine learning, robotics, and big data. As traditional computing systems face limitations due to the end of Moore's Law and the increasing complexity of software, SimpleMachines offers a programmable platform that allows for real-time hardware optimization. This innovative approach contrasts with conventional single-purpose systems, which are costly, time-consuming to develop, and often become obsolete upon deployment. The company's platform enables software developers to enhance application performance by dynamically reconfiguring hardware, thus supporting a wide range of use cases and ensuring adaptability in rapidly changing technological environments.
Lily AI is the leader in predictive psychographics for retail e-commerce. Consumer spending online for apparel now accounts for over 27% of all clothing sales. Retailers need to understand each consumer’s emotional context while they are actively shopping. Lily AI combines deep product tagging with deep, real-time psychographic analysis to determine the active state of mind of each shopper, and turns that into precise and timely recommendations. These recommendations are proven to lead to higher conversions and lower return rates. Lily AI (lilystyle.ai) was founded by two women who believe clothes to reflect how they feel about themselves. The company is venture-backed and headquartered in Mountain View, CA.
Lumiata is transforming the healthcare enterprise through the application of AI. Bringing predictive power within reach of data science teams and business users, we’re driving predictability and precision at scale — empowering providers and payers to reduce risk and manage costs and move out of reliance on flat data into a future of insights. Lumiata machine learning tools and pre-trained models comprise a scalable platform purpose-built for healthcare. Lumiata products are built from more than 120 million patient records, in-depth clinical knowledge, and its proprietary clinical IP. Lumiata enables healthcare organizations to explore use cases such as underwriting and care management. Lumiata is proud to be backed by Khosla Ventures, Blue Venture Fund, Defy.vc, and AllegisNL Capital. Team Lumiata is distributed across Silicon Valley, Dallas, and Guadalajara, Mexico.
Lumiata is transforming the healthcare enterprise through the application of AI. Bringing predictive power within reach of data science teams and business users, we’re driving predictability and precision at scale — empowering providers and payers to reduce risk and manage costs and move out of reliance on flat data into a future of insights. Lumiata machine learning tools and pre-trained models comprise a scalable platform purpose-built for healthcare. Lumiata products are built from more than 120 million patient records, in-depth clinical knowledge, and its proprietary clinical IP. Lumiata enables healthcare organizations to explore use cases such as underwriting and care management. Lumiata is proud to be backed by Khosla Ventures, Blue Venture Fund, Defy.vc, and AllegisNL Capital. Team Lumiata is distributed across Silicon Valley, Dallas, and Guadalajara, Mexico.
Sentenai is cloud service that connects intelligent systems to the data they need to make better decisions in real-time. Sentenai’s product combines distributed systems and applied machine learning to automatically organize sensor data streams, making them searchable in real-time.
Sentenai is an early-stage startup building data infrastructure for machine learning and predictive applications.
Developer of a video management platform designed to significantly reduce job site risk with the power of human and artificial intelligence. The company's platform uses machine learning to develop software that analyzes all images and videos in each project and matches them to a set of construction-specific tags, enabling clients to solve the management, collaboration, search, and analysis challenges associated with industrial videos and photos.
Sentenai is cloud service that connects intelligent systems to the data they need to make better decisions in real-time. Sentenai’s product combines distributed systems and applied machine learning to automatically organize sensor data streams, making them searchable in real-time.
Sentenai is an early-stage startup building data infrastructure for machine learning and predictive applications.