Alumni Ventures

R-Go Robotics is pioneering an artificial perception technology that enables mobile robots to understand complex surroundings and operate autonomously just like humans. Our business model is to partner with robotics manufacturers who share our vision of a future where automation is unfettered but focused on real-world solutions. Our team is comprised of world-class leaders with deep academic and industry experience, and we have a proven track record in bringing world-class innovation to market. ​We are currently in stealth mode.

Overview.ai provides real time fault detection that uses cameras and AI to monitor manufacturing robots, shutting them down if something goes wrong. Its smart camera automatically learns normal machine routines to detect any deviations, crashes or anomalies. Its system catches misalignments, breakage, and out-of-sequence behavior before significant damage occurs to product or machine.

Banana is an ML API for developers to run ML workloads from a single line of code, without any learning curve.

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.

Datanomix, Inc., based in Nashua, New Hampshire, develops a software platform tailored for industrial manufacturers to enhance productivity in manufacturing environments. Founded in 2015, the company focuses on the global Industry 4.0 and Industrial Internet of Things (IIoT) transformations. Its Manufacturing Analytics platform integrates machine data streams from the shop floor to generate actionable insights for decision-makers. By providing an intuitive analytics framework, Datanomix helps manufacturers understand key factors affecting costs, process variation, product quality, and predictive maintenance. This approach extends the value of traditional data visualization and productivity tools, empowering manufacturers of all sizes with robust decision-making capabilities aimed at improving production, performance, and profitability.

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.

FUTURE provides an insight into a new, decentralized way to look at the web, powered by privacy-respecting solutions that implement artificial intelligence techniques on every corner of every day life.

Lang.ai is a language understanding platform founded in 2012 and headquartered in Madrid, Spain, with additional offices in the United States and Mexico. The company specializes in developing an online application that leverages unsupervised artificial intelligence to process and analyze language data from various sources, including social networks. Lang.ai's software is utilized by enterprise clients across Europe, America, and Asia, including notable companies such as Santander and Vodafone. Their technology primarily focuses on automating processes related to text analysis, including customer experience survey analysis, email and chat management for customer service, chatbot development, and call center automation. By streamlining these processes, Lang.ai enhances operational efficiency for its clients.

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.

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.

Gradient is an easy to use reinforcement learning powered decision making platform.

Aquabyte, Inc. specializes in developing advanced monitoring systems for the aquaculture industry, focusing on enhancing fish farming efficiency through machine learning and computer vision technologies. Founded in 2017 and headquartered in San Francisco with an additional office in Bergen, Norway, Aquabyte's innovative solutions include a smart camera system that facilitates real-time sea lice counting, biomass estimation, appetite detection, and feed optimization. By providing a comprehensive web dashboard for continuous monitoring, Aquabyte enables fish farms to reduce operational costs and minimize environmental impacts, ultimately contributing to a more sustainable and profitable aquaculture sector. The company's commitment to leveraging technology aims to address challenges in food production, making a significant impact on the industry's growth and efficiency.

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.

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.

Spiral is a software company which is focused on building solutions for customer feedback using AI.

Spiral is a software company which is focused on building solutions for customer feedback using AI.

Datanomix, Inc., based in Nashua, New Hampshire, develops a software platform tailored for industrial manufacturers to enhance productivity in manufacturing environments. Founded in 2015, the company focuses on the global Industry 4.0 and Industrial Internet of Things (IIoT) transformations. Its Manufacturing Analytics platform integrates machine data streams from the shop floor to generate actionable insights for decision-makers. By providing an intuitive analytics framework, Datanomix helps manufacturers understand key factors affecting costs, process variation, product quality, and predictive maintenance. This approach extends the value of traditional data visualization and productivity tools, empowering manufacturers of all sizes with robust decision-making capabilities aimed at improving production, performance, and profitability.

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.

Datanomix, Inc., based in Nashua, New Hampshire, develops a software platform tailored for industrial manufacturers to enhance productivity in manufacturing environments. Founded in 2015, the company focuses on the global Industry 4.0 and Industrial Internet of Things (IIoT) transformations. Its Manufacturing Analytics platform integrates machine data streams from the shop floor to generate actionable insights for decision-makers. By providing an intuitive analytics framework, Datanomix helps manufacturers understand key factors affecting costs, process variation, product quality, and predictive maintenance. This approach extends the value of traditional data visualization and productivity tools, empowering manufacturers of all sizes with robust decision-making capabilities aimed at improving production, performance, and profitability.

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.

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.

Kognition LLC designs and develops enterprise software solution for real estate property managers and security operators. The company's platform uses artificial intelligence and machine learning to allow buildings to see, think, act, and learn on their own responding to security, property activities, surveillance, logistics, environmental, and maintenance issues. The product includes SuperGuard solution which combines live security camera footage with sensor data to detect security threats. The company was incorporated in 2017 and is based in Philadelphia, Pennsylvania.

Datanomix, Inc., based in Nashua, New Hampshire, develops a software platform tailored for industrial manufacturers to enhance productivity in manufacturing environments. Founded in 2015, the company focuses on the global Industry 4.0 and Industrial Internet of Things (IIoT) transformations. Its Manufacturing Analytics platform integrates machine data streams from the shop floor to generate actionable insights for decision-makers. By providing an intuitive analytics framework, Datanomix helps manufacturers understand key factors affecting costs, process variation, product quality, and predictive maintenance. This approach extends the value of traditional data visualization and productivity tools, empowering manufacturers of all sizes with robust decision-making capabilities aimed at improving production, performance, and profitability.

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.

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.