Felicis

Founded in 2006, Felicis is a venture capital firm based in Menlo Park, California. It focuses on early-stage investments across various sectors, including AI, health, and security, backing founders building iconic companies.

Nicole Bae

Partner, Operations

Dasha Maggio

Investor

Daniel Bartus

Partner

Kristin Beach

CFO, COO and Partner

Maddie Chavez

Partner, Operations

Tobi Coker

Partner

James Detweiler

Partner

Viviana Faga

General Partner

Gabriella Garcia

Deal Partner

Ryan Isono

Partner

Astasia Myers

General Partner

Sundeep Peechu

General Partner

Niki Pezeshki

General Partner

Larissa Rainey

Operating Partner

Katie Riester

Managing Director

Aydin Senkut

Founder and Managing Partner

Javier Soltero

Venture Partner

Jake Storm

Partner

Victoria Treyger

General Partner

Mischa Vaughn

Partner

Nancy Wang

Venture Partner

Past deals in Machine Learning

Deep Infra

Series A in 2025
Deep Infra specializes in serverless machine-learning inference, offering a platform that simplifies the deployment of AI models. It supports various applications such as token classification, text-to-image generation, object detection, and more, with a pay-per-use pricing model.

Browser Use

Seed Round in 2025
Browser Use is a technology company specializing in web accessibility software for AI agents. It enables AI agents to interact with websites by extracting interactive elements, managing multiple browser tabs, and supporting custom actions. The company's software combines visual understanding with HTML extraction, allowing developers to build capable web-based AI agents using various large language models.

Distributed Spectrum

Series A in 2025
Distributed Spectrum is a defense technology company that develops software and sensors for signal processing, machine learning, and embedded systems to help understand critical radio signals across missions. Its spectrum monitoring system provides situational awareness and real-time, actionable alerts, with capabilities including passive signature detection, signal analysis, and anomaly identification. The system is designed to work with affordable, commodity hardware and incorporates patent-pending algorithms to interpret the radio environment and track transmissions across diverse settings for defense and security applications.

Moondream

Pre Seed Round in 2024
Moondream builts a vision-language model that operates with 1.6 billion parameters.

Slingshot AI

Seed Round in 2024
Slingshot AI is a research company dedicated to enhancing global access to mental healthcare through artificial intelligence. Based in New York City and London, the company develops advanced large language models to understand human psychology deeply, empowering individuals to cope with daily challenges and seek mental support.

MemGPT

Venture Round in 2024
MemGPT is developing a language model system that enhances LLMs with long-term memory capabilities, offering features like virtual context management and function calling for AI applications.

Pantheon AI

Seed Round in 2024
Pantheon AI is a technology company specializing in office design. It uses artificial intelligence to streamline the process from test fit to construction documents, enabling clients to refine their visions and create workplaces tailored to their specific needs.

DatologyAI

Series A in 2024
DatologyAI specializes in AI-driven data curation. It develops deep learning tools to automate dataset creation and improve model training efficiency. Its tools identify optimal data for AI models, suggest dataset augmentation strategies, and optimize batching or splitting processes.

Distributed Spectrum

Seed Round in 2024
Distributed Spectrum is a defense technology company that develops software and sensors for signal processing, machine learning, and embedded systems to help understand critical radio signals across missions. Its spectrum monitoring system provides situational awareness and real-time, actionable alerts, with capabilities including passive signature detection, signal analysis, and anomaly identification. The system is designed to work with affordable, commodity hardware and incorporates patent-pending algorithms to interpret the radio environment and track transmissions across diverse settings for defense and security applications.

Flower Labs

Series A in 2024
Flower Labs is an open-source framework dedicated to advancing artificial intelligence through federated learning. By enabling companies to train AI models on distributed, sensitive data, Flower Labs addresses a critical challenge in the AI landscape where most models rely on centralized public data. The platform is designed to be interoperable across various operating systems and hardware, allowing for seamless integration in heterogeneous edge device environments. It supports a wide range of machine learning frameworks and programming languages, making federated approaches accessible to a diverse set of users. Notable companies such as Banking Circle, Nokia, Porsche, and Brave utilize Flower to enhance their AI capabilities while maintaining data privacy and security. This innovative approach aims to leverage significantly more data, unlocking potential advancements in AI development.

Deep Infra

Seed Round in 2023
Deep Infra specializes in serverless machine-learning inference, offering a platform that simplifies the deployment of AI models. It supports various applications such as token classification, text-to-image generation, object detection, and more, with a pay-per-use pricing model.

MotherDuck

Series B in 2023
MotherDuck is a company that specializes in data infrastructure and analytics, providing a serverless platform designed for both small and large datasets. By integrating the efficiency of DuckDB with cloud capabilities, MotherDuck delivers a user-friendly analytics solution that supports hybrid execution. Its platform utilizes an embedded database to facilitate the analysis of big data, enabling businesses to prototype with both local and remote data seamlessly. This integrated environment allows organizations to effectively analyze their data, enhancing collaboration and maximizing profitability.

Hitloop

Seed Round in 2023
Founded in 2023, Hitloop is a tech company specializing in artificial intelligence and machine learning solutions. It offers multimodal multilingual AI systems, covering speech, language, vision technologies, and data annotation services.

Poolside

Seed Round in 2023
Poolside is an artificial intelligence platform that offers foundation concepts and infrastructure. It aims to unlock humanity's potential by pursuing AGI for software creation, with the fundamental belief that the transitional path for humanity to AGI is by building specific capabilities instead of a general-purpose approach. It also helps users utilize the power of software creation and understand future systems.

Weights & Biases

Venture Round in 2023
Weights & Biases offers an AI-assisted platform that enables machine learning teams to track experiments, visualize model performance, and automate training and deployment. Founded in 2017 and based in San Francisco, it provides performance visualization and dataset optimization tools that help turn deep learning research projects into deployed software, enabling streamlined iteration and improved model quality.

Predibase

Series A in 2023
Predibase is a machine learning platform that simplifies the development and deployment of high-performance, low-code AI systems. Designed for engineering teams, it enables users to fine-tune and serve small open-source large language models efficiently on a robust cloud infrastructure. The platform features a user-friendly declarative interface that allows developers to define AI pipelines with minimal coding, significantly reducing the time required for machine learning projects. Predibase is built on open-source foundations, including LoRAX, and offers the option to deploy in private clouds, ensuring that data and models remain under user control. With a proven track record among Fortune 500 companies and high-growth firms, Predibase empowers organizations to harness AI-driven solutions quickly and effectively.

Vannevar Labs

Series B in 2023
Founded in 2019, Vannevar Labs develops advanced machine learning products focused on critical national security challenges. Headquartered in Palo Alto, California, the company combines expertise from technologists and former defense/intelligence officers to create cutting-edge computer vision and natural language processing solutions for military branches and allied governments.

MadKudu

Series A in 2022
Founded in 2014, MadKudu develops a software platform that enables high-volume B2B SaaS companies to accelerate growth by leveraging customer data. Its predictive lead-scoring solution helps clients make informed decisions and drive meaningful revenue growth.

Nayya Health

Series C in 2022
Nayya Health is a digital health software company that provides benefits experience software designed to help employees choose and use benefits more effectively. The platform delivers personalized decision support and guidance during open enrollment, new employee onboarding, and qualifying life events, empowering individuals to exercise greater control over their health spending and financial potential. Built on extensive data and machine learning, the solution aims to simplify benefits selection and increase transparency for both employees and employers. The company is based in New York, New York, and was established in 2019.

Weights & Biases

Series C in 2021
Weights & Biases offers an AI-assisted platform that enables machine learning teams to track experiments, visualize model performance, and automate training and deployment. Founded in 2017 and based in San Francisco, it provides performance visualization and dataset optimization tools that help turn deep learning research projects into deployed software, enabling streamlined iteration and improved model quality.

Nayya Health

Series B in 2021
Nayya Health is a digital health software company that provides benefits experience software designed to help employees choose and use benefits more effectively. The platform delivers personalized decision support and guidance during open enrollment, new employee onboarding, and qualifying life events, empowering individuals to exercise greater control over their health spending and financial potential. Built on extensive data and machine learning, the solution aims to simplify benefits selection and increase transparency for both employees and employers. The company is based in New York, New York, and was established in 2019.

Mosaic

Series A in 2021
Mosaic is an AI-powered financial planning and analysis software company that provides predictive reporting, dashboards, modeling, and data visualization to support forecasting and decision making. The platform automates forecasts, generates real-time reports, and enables cross-functional collaboration, while leveraging big data and machine learning to deliver actionable insights and clear recommendations. It offers seamless integrations and real-time analytics that illuminate key business dynamics for organizations of various sizes, from startups to large enterprises. Founded in 2019 and headquartered in San Diego, Mosaic focuses on helping finance teams plan, analyze, and act more efficiently.

Nayya Health

Series A in 2021
Nayya Health is a digital health software company that provides benefits experience software designed to help employees choose and use benefits more effectively. The platform delivers personalized decision support and guidance during open enrollment, new employee onboarding, and qualifying life events, empowering individuals to exercise greater control over their health spending and financial potential. Built on extensive data and machine learning, the solution aims to simplify benefits selection and increase transparency for both employees and employers. The company is based in New York, New York, and was established in 2019.

Ultimate

Series A in 2020
Ultimate provides a virtual agent platform that automates customer support across channels by combining deep learning AI with human agents. The platform learns from historical chat data to offer real-time suggestions and guidance to agents, enabling scalable, high-quality customer service through generative AI.

Recursion Pharmaceuticals

Series D in 2020
Recursion Pharmaceuticals is a clinical-stage biotechnology company that aims to radically improve patients’ lives by decoding biology through the integration of biology, chemistry, automation, data science, and engineering to industrialize drug discovery. The company operates a large-scale drug discovery platform built around Recursion OS, an infrastructure layer and a Map of proprietary biological and chemical data, supported by software tools and machine learning to explore biology beyond human bias and identify new therapeutic opportunities. Its platform includes ReChem for selecting and designing compounds, ReScreen and ReScreenRun for planning and automating large-scale experiments, and ReRun, ReAnalyze, and RePredict for digital signatures, data analysis, and predictive modeling of drug relationships. Founded in 2013, the company is based in Salt Lake City, Utah.

Hyperscience

Series C in 2020
Hyperscience is a technology company specializing in artificial intelligence-based enterprise software that automates office work processes. Its software leverages machine learning to efficiently handle structured and semi-structured documents, facilitating automated data entry, extracting essential details from invoices, and reconciling compliance-driven data. By streamlining complex processes, Hyperscience aims to enhance productivity for organizations and governments, thereby modernizing mission-critical operations.

Crunchbase

Series C in 2019
Crunchbase is a data-driven platform that enables over 80 million investors, analysts, and dealmakers to identify and capitalize on private market opportunities by analyzing company activities and trends. It provides tools for discovering significant companies through its homepage, Crunchbase Scout, and robust search functionalities. The platform offers proprietary predictions and insights to facilitate informed decision-making regarding organizational profiles. Additionally, Crunchbase enhances team productivity with features for data exports, administrative tools, and integrations, which streamline workflows. By delivering unique private company intelligence, Crunchbase bridges the gap between data access and actionable business decisions, empowering users to navigate the evolving landscape of investments effectively.

LabGenius

Series A in 2019
LabGenius Ltd is a biopharmaceutical company based in London, United Kingdom, focused on discovering and developing new protein therapeutics to address unmet medical needs, including conditions like Inflammatory Bowel Disease. Founded in 2012, the company utilizes a machine learning-driven evolution engine and a robotic platform known as EVA, which is capable of designing, conducting, and learning from its own experiments. This innovative approach integrates advanced technologies from synthetic biology, robotics, and machine learning, enabling the engineering of protein drugs with enhanced properties such as protease stability and tissue penetration. By leveraging these cutting-edge methodologies, LabGenius aims to provide physicians with access to novel protein therapeutics that are developed through automation and intelligent design.

Recursion Pharmaceuticals

Series C in 2019
Recursion Pharmaceuticals is a clinical-stage biotechnology company that aims to radically improve patients’ lives by decoding biology through the integration of biology, chemistry, automation, data science, and engineering to industrialize drug discovery. The company operates a large-scale drug discovery platform built around Recursion OS, an infrastructure layer and a Map of proprietary biological and chemical data, supported by software tools and machine learning to explore biology beyond human bias and identify new therapeutic opportunities. Its platform includes ReChem for selecting and designing compounds, ReScreen and ReScreenRun for planning and automating large-scale experiments, and ReRun, ReAnalyze, and RePredict for digital signatures, data analysis, and predictive modeling of drug relationships. Founded in 2013, the company is based in Salt Lake City, Utah.

Troops

Series B in 2019
Troops is a developer of a revenue communications platform that enhances sales velocity, forecast accuracy, visibility, and collaboration for sales teams. The platform integrates with Salesforce to provide real-time transparency around sales data and operates as a Slackbot, enabling users to configure reports, communicate deal wins, and access information on both standard and custom Salesforce objects. By employing artificial intelligence, Troops allows users to create customizable notifications, view, and update data across various applications. This functionality helps sales teams receive actionable pipeline alerts and increases their overall sales activity.

Hyperscience

Series B in 2019
Hyperscience is a technology company specializing in artificial intelligence-based enterprise software that automates office work processes. Its software leverages machine learning to efficiently handle structured and semi-structured documents, facilitating automated data entry, extracting essential details from invoices, and reconciling compliance-driven data. By streamlining complex processes, Hyperscience aims to enhance productivity for organizations and governments, thereby modernizing mission-critical operations.

Spring Discovery

Series A in 2018
Spring Discovery, Inc. is a biotechnology company based in Palo Alto, California, that specializes in the development of a machine learning-based drug discovery platform. This platform is designed to expedite the identification of therapies targeting the biological processes of aging and related diseases. By focusing on the underlying mechanisms of aging, Spring Discovery aims to uncover new treatments for various age-related conditions, including cardiovascular and neurodegenerative diseases. The company's innovative approach seeks to enhance healthy lifespans and improve the quality of life for the aging population.

Gamalon

Series A in 2018
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.

Spring Discovery

Seed Round in 2018
Spring Discovery, Inc. is a biotechnology company based in Palo Alto, California, that specializes in the development of a machine learning-based drug discovery platform. This platform is designed to expedite the identification of therapies targeting the biological processes of aging and related diseases. By focusing on the underlying mechanisms of aging, Spring Discovery aims to uncover new treatments for various age-related conditions, including cardiovascular and neurodegenerative diseases. The company's innovative approach seeks to enhance healthy lifespans and improve the quality of life for the aging population.

TrueAccord

Series B in 2017
TrueAccord is reinventing the relationship between creditors and lenders with a machine learning-driven, digital approach to debt collection. Our technology personalizes outreach to each customer across digital channels, continuously optimizing for performance while delivering a customer experience that builds long-term brand loyalty.

Recursion Pharmaceuticals

Series B in 2017
Recursion Pharmaceuticals is a clinical-stage biotechnology company that aims to radically improve patients’ lives by decoding biology through the integration of biology, chemistry, automation, data science, and engineering to industrialize drug discovery. The company operates a large-scale drug discovery platform built around Recursion OS, an infrastructure layer and a Map of proprietary biological and chemical data, supported by software tools and machine learning to explore biology beyond human bias and identify new therapeutic opportunities. Its platform includes ReChem for selecting and designing compounds, ReScreen and ReScreenRun for planning and automating large-scale experiments, and ReRun, ReAnalyze, and RePredict for digital signatures, data analysis, and predictive modeling of drug relationships. Founded in 2013, the company is based in Salt Lake City, Utah.

TalkIQ

Series A in 2017
TalkIQ is a technology company that specializes in voice-to-text transcription and analytics, offering its services to a diverse range of industries since its inception in 2014. The company's innovative platform utilizes advanced deep-learning algorithms and proprietary speech recognition technology to provide businesses with insights derived from customer conversations. Through a user-friendly dashboard, TalkIQ synthesizes these interactions, enabling clients to access actionable data and recommendations in real-time. This functionality helps organizations optimize sales, enhance customer service, ensure compliance, and improve overall productivity by recognizing key moments in customer interactions, such as purchase intent and objection handling. With a leadership team experienced in speech and language recognition, TalkIQ is positioned to transform how businesses learn from and respond to their customer conversations.

Paravision

Series B in 2017
Founded in 2013 and based in San Francisco, Paravision specializes in developing advanced face recognition software. Trusted globally by security device manufacturers, solution providers, systems integrators, and financial services firms, their industry-leading Vision AI software delivers frictionless experiences and comprehensive safety through modular, scalable toolsets.

Crunchbase

Series B in 2017
Crunchbase is a data-driven platform that enables over 80 million investors, analysts, and dealmakers to identify and capitalize on private market opportunities by analyzing company activities and trends. It provides tools for discovering significant companies through its homepage, Crunchbase Scout, and robust search functionalities. The platform offers proprietary predictions and insights to facilitate informed decision-making regarding organizational profiles. Additionally, Crunchbase enhances team productivity with features for data exports, administrative tools, and integrations, which streamline workflows. By delivering unique private company intelligence, Crunchbase bridges the gap between data access and actionable business decisions, empowering users to navigate the evolving landscape of investments effectively.

Gamalon

Seed Round in 2017
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.

Hyperscience

Series A in 2016
Hyperscience is a technology company specializing in artificial intelligence-based enterprise software that automates office work processes. Its software leverages machine learning to efficiently handle structured and semi-structured documents, facilitating automated data entry, extracting essential details from invoices, and reconciling compliance-driven data. By streamlining complex processes, Hyperscience aims to enhance productivity for organizations and governments, thereby modernizing mission-critical operations.

TalkIQ

Seed Round in 2016
TalkIQ is a technology company that specializes in voice-to-text transcription and analytics, offering its services to a diverse range of industries since its inception in 2014. The company's innovative platform utilizes advanced deep-learning algorithms and proprietary speech recognition technology to provide businesses with insights derived from customer conversations. Through a user-friendly dashboard, TalkIQ synthesizes these interactions, enabling clients to access actionable data and recommendations in real-time. This functionality helps organizations optimize sales, enhance customer service, ensure compliance, and improve overall productivity by recognizing key moments in customer interactions, such as purchase intent and objection handling. With a leadership team experienced in speech and language recognition, TalkIQ is positioned to transform how businesses learn from and respond to their customer conversations.

Recursion Pharmaceuticals

Series A in 2016
Recursion Pharmaceuticals is a clinical-stage biotechnology company that aims to radically improve patients’ lives by decoding biology through the integration of biology, chemistry, automation, data science, and engineering to industrialize drug discovery. The company operates a large-scale drug discovery platform built around Recursion OS, an infrastructure layer and a Map of proprietary biological and chemical data, supported by software tools and machine learning to explore biology beyond human bias and identify new therapeutic opportunities. Its platform includes ReChem for selecting and designing compounds, ReScreen and ReScreenRun for planning and automating large-scale experiments, and ReRun, ReAnalyze, and RePredict for digital signatures, data analysis, and predictive modeling of drug relationships. Founded in 2013, the company is based in Salt Lake City, Utah.

Troops

Series A in 2016
Troops is a developer of a revenue communications platform that enhances sales velocity, forecast accuracy, visibility, and collaboration for sales teams. The platform integrates with Salesforce to provide real-time transparency around sales data and operates as a Slackbot, enabling users to configure reports, communicate deal wins, and access information on both standard and custom Salesforce objects. By employing artificial intelligence, Troops allows users to create customizable notifications, view, and update data across various applications. This functionality helps sales teams receive actionable pipeline alerts and increases their overall sales activity.

Gamalon

Venture Round in 2016
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.

Pattern

Seed Round in 2016
Pattern is a intelligent workspace geared towards sales teams. It prepares research for the user, streamlining the process with built in templates. Pattern can also confirm meetings, automate follow-ups, update stale records and research accounts. Lastly, Pattern uses machine learning to surface risk and momentum signals in your pipeline using data from email, calendar, and Salesforce.

Emailage

Series A in 2016
Emailage Corp., established in 2012 and headquartered in Chandler, Arizona, specializes in fraud prevention and identity verification solutions. It leverages machine learning and proprietary algorithms to assess digital entity risks in real-time, helping businesses across various sectors, such as banking, e-commerce, and gaming, to confirm identities, increase approvals, and reduce fraud losses. The company's core products include EmailRisk Score and RapidRisk Score, which provide predictive fraud risk analysis and enable companies to enhance customer experience while mitigating financial risks. Emailage operates as a subsidiary of LexisNexis Risk Solutions Inc.

Zodiac

Seed Round in 2016
Zodiac Inc. is a predictive analytics company that specializes in forecasting individualized customer lifetime value using real-time sales data. Founded in 2015 and headquartered in Philadelphia, Pennsylvania, Zodiac provides a cloud-based analytics platform that enables businesses to make informed marketing decisions based on accurate predictions of future sales volumes and customer behavior. By employing advanced data models and behavioral analysis, the company helps organizations optimize their marketing campaigns, enhance sales forecasting, and focus resources on acquiring and retaining high-value customers. Initially known as CLVMetrics, Inc., Zodiac operates as a subsidiary of NIKE, Inc. as of March 2018.

Paravision

Series A in 2016
Founded in 2013 and based in San Francisco, Paravision specializes in developing advanced face recognition software. Trusted globally by security device manufacturers, solution providers, systems integrators, and financial services firms, their industry-leading Vision AI software delivers frictionless experiences and comprehensive safety through modular, scalable toolsets.

Crunchbase

Series A in 2015
Crunchbase is a data-driven platform that enables over 80 million investors, analysts, and dealmakers to identify and capitalize on private market opportunities by analyzing company activities and trends. It provides tools for discovering significant companies through its homepage, Crunchbase Scout, and robust search functionalities. The platform offers proprietary predictions and insights to facilitate informed decision-making regarding organizational profiles. Additionally, Crunchbase enhances team productivity with features for data exports, administrative tools, and integrations, which streamline workflows. By delivering unique private company intelligence, Crunchbase bridges the gap between data access and actionable business decisions, empowering users to navigate the evolving landscape of investments effectively.

Civitas Learning

Series D in 2015
Civitas Learning, Inc. is an education technology company that provides a predictive analytics platform aimed at enhancing student success across higher education institutions. Founded in 2011 and based in Austin, Texas, the company offers a suite of tools designed to aggregate and analyze disparate data sources throughout the student journey. Its student insights platform enables institutions to gain a comprehensive view of student experiences, while applications like Illume and Inspire for Faculty deliver real-time insights into student engagement and predictive student flow. Civitas Learning also offers Hoot.me, a crowd-sourced question-and-answer platform, and College Scheduler, which simplifies degree completion processes for students. The company serves approximately 375 colleges and universities, impacting nearly 8 million students across the United States, the United Kingdom, Ireland, and Mexico, with the goal of helping institutions graduate an additional million students annually by 2025.

Hyperscience

Series A in 2015
Hyperscience is a technology company specializing in artificial intelligence-based enterprise software that automates office work processes. Its software leverages machine learning to efficiently handle structured and semi-structured documents, facilitating automated data entry, extracting essential details from invoices, and reconciling compliance-driven data. By streamlining complex processes, Hyperscience aims to enhance productivity for organizations and governments, thereby modernizing mission-critical operations.

Petasense

Seed Round in 2015
Petasense Inc., founded in 2014 and based in Foster City, California, is an Industrial IoT startup focused on enhancing the reliability of industrial machinery. The company provides an innovative end-to-end solution that includes a patent-pending wireless vibration sensor, cloud-based software, and machine learning analytics. This technology allows clients to monitor and predict the health of critical machines in real-time, thereby reducing unplanned downtime and lowering repair costs. Petasense serves a diverse range of clients, including industry leaders such as JLL, C&W Services, Silicon Valley Power, and Stanford University. The founders, Abhinav Khushraj and Arun Santhebennur, bring extensive experience in building enterprise companies, bolstered by their educational backgrounds from MIT and IIT.

Civitas Learning

Series C in 2015
Civitas Learning, Inc. is an education technology company that provides a predictive analytics platform aimed at enhancing student success across higher education institutions. Founded in 2011 and based in Austin, Texas, the company offers a suite of tools designed to aggregate and analyze disparate data sources throughout the student journey. Its student insights platform enables institutions to gain a comprehensive view of student experiences, while applications like Illume and Inspire for Faculty deliver real-time insights into student engagement and predictive student flow. Civitas Learning also offers Hoot.me, a crowd-sourced question-and-answer platform, and College Scheduler, which simplifies degree completion processes for students. The company serves approximately 375 colleges and universities, impacting nearly 8 million students across the United States, the United Kingdom, Ireland, and Mexico, with the goal of helping institutions graduate an additional million students annually by 2025.

Vicarious

Series B in 2014
Vicarious is an artificial intelligence company that utilizes the principles of neuro and cognitive science to create general intelligence for robots. Founded in 2010 by Dr. Dileep George and D. Scott Phoenix, Vicarious develops technology that mimics the functions of the human brain, aiming to achieve human-level intelligence in areas such as vision, language, and motor control. The company's algorithmic architecture focuses on visual perception challenges, including recognition, segmentation, and scene parsing. This innovative approach enables robot manufacturers to design robots that exhibit advanced intelligence and enhanced task efficiency, positioning Vicarious as a leader in the advancement of intelligent robotic systems.

TrueAccord

Series A in 2014
TrueAccord is reinventing the relationship between creditors and lenders with a machine learning-driven, digital approach to debt collection. Our technology personalizes outreach to each customer across digital channels, continuously optimizing for performance while delivering a customer experience that builds long-term brand loyalty.

Scaled Inference

Seed Round in 2014
Scaled Inference, Inc. is a Palo Alto, California-based company that specializes in artificial intelligence and machine learning technologies. Founded in 2014, it has developed a cloud-based platform aimed at third parties seeking to enhance their applications and services. This platform offers tools for general-purpose pattern recognition, anomaly detection, and predictive analytics, thereby enabling users to explore innovative applications and advance their computing capabilities. By leveraging its technology, Scaled Inference facilitates the integration of intelligent computing into a variety of software systems and products, including websites, mobile applications, and servers.

Civitas Learning

Series B in 2013
Civitas Learning, Inc. is an education technology company that provides a predictive analytics platform aimed at enhancing student success across higher education institutions. Founded in 2011 and based in Austin, Texas, the company offers a suite of tools designed to aggregate and analyze disparate data sources throughout the student journey. Its student insights platform enables institutions to gain a comprehensive view of student experiences, while applications like Illume and Inspire for Faculty deliver real-time insights into student engagement and predictive student flow. Civitas Learning also offers Hoot.me, a crowd-sourced question-and-answer platform, and College Scheduler, which simplifies degree completion processes for students. The company serves approximately 375 colleges and universities, impacting nearly 8 million students across the United States, the United Kingdom, Ireland, and Mexico, with the goal of helping institutions graduate an additional million students annually by 2025.

Vicarious

Series A in 2012
Vicarious is an artificial intelligence company that utilizes the principles of neuro and cognitive science to create general intelligence for robots. Founded in 2010 by Dr. Dileep George and D. Scott Phoenix, Vicarious develops technology that mimics the functions of the human brain, aiming to achieve human-level intelligence in areas such as vision, language, and motor control. The company's algorithmic architecture focuses on visual perception challenges, including recognition, segmentation, and scene parsing. This innovative approach enables robot manufacturers to design robots that exhibit advanced intelligence and enhanced task efficiency, positioning Vicarious as a leader in the advancement of intelligent robotic systems.

Vicarious

Venture Round in 2012
Vicarious is an artificial intelligence company that utilizes the principles of neuro and cognitive science to create general intelligence for robots. Founded in 2010 by Dr. Dileep George and D. Scott Phoenix, Vicarious develops technology that mimics the functions of the human brain, aiming to achieve human-level intelligence in areas such as vision, language, and motor control. The company's algorithmic architecture focuses on visual perception challenges, including recognition, segmentation, and scene parsing. This innovative approach enables robot manufacturers to design robots that exhibit advanced intelligence and enhanced task efficiency, positioning Vicarious as a leader in the advancement of intelligent robotic systems.

Post Intelligence

Seed Round in 2010
Post Intelligence is an innovative company that offers the world's first AI-based social media assistant, designed to enhance user engagement through optimized content creation. By utilizing a deep learning model tailored to individual users, Post Intelligence learns their posting habits and audience preferences, subsequently providing personalized suggestions for content, optimal posting times, and relevant topics. This adaptive approach allows influencers and brands to maximize their social media impact and revenue, with over 1.5 million influencers having utilized the platform to generate more than $100 million in advertising revenue. Additionally, Post Intelligence developed Candid, a newsfeed application that employed deep learning for content moderation and attracted over 2 million users. The company was acquired by Uber in 2017, further expanding its reach and capabilities in the social media landscape.

Figure Eight

Series A in 2010
Figure Eight Inc. is a developer of a human-in-the-loop machine learning platform that specializes in generating customized training data from various data types, including text, images, audio, and video. Founded in 2007 and headquartered in San Francisco, California, the company provides machine learning-assisted annotation solutions that cater to a wide array of applications such as autonomous vehicles, natural language processing, computer vision, and intelligent chatbots. The platform supports diverse industries, including automotive, healthcare, retail, and technology, and has produced over 10 billion training data labels to enhance real-world AI applications. By automating data annotation processes, Figure Eight enables data science teams to improve outcomes in sentiment analysis, search relevance, and data classification.

RichRelevance

Series C in 2009
RichRelevance, Inc. is a leading provider of omnichannel personalization solutions, enabling multinational companies to enhance customer experiences across various platforms, including web, mobile, and in-store environments. Founded in 2005 and headquartered in San Francisco, the company offers a comprehensive personalization platform known as Relevance Cloud, which includes tools such as RichRelevance Discover for personalized search and browsing, RichRelevance Engage for targeted marketing campaigns, and RichRelevance Recommend for data-driven product suggestions. Additionally, RichRelevance provides API-based tools through RichRelevance Build and strategic decision-making support with RichRelevance Xen AI. The firm serves over 240 clients worldwide, driving significant sales and daily decision-making processes. It has a global presence with offices in major cities, including New York, Seattle, London, and Paris, and operates as a subsidiary of Manthan Software Services Pvt. Ltd. RichRelevance's capabilities and services are designed to create differentiated customer experiences in an integrated retail landscape.

RichRelevance

Series B in 2007
RichRelevance, Inc. is a leading provider of omnichannel personalization solutions, enabling multinational companies to enhance customer experiences across various platforms, including web, mobile, and in-store environments. Founded in 2005 and headquartered in San Francisco, the company offers a comprehensive personalization platform known as Relevance Cloud, which includes tools such as RichRelevance Discover for personalized search and browsing, RichRelevance Engage for targeted marketing campaigns, and RichRelevance Recommend for data-driven product suggestions. Additionally, RichRelevance provides API-based tools through RichRelevance Build and strategic decision-making support with RichRelevance Xen AI. The firm serves over 240 clients worldwide, driving significant sales and daily decision-making processes. It has a global presence with offices in major cities, including New York, Seattle, London, and Paris, and operates as a subsidiary of Manthan Software Services Pvt. Ltd. RichRelevance's capabilities and services are designed to create differentiated customer experiences in an integrated retail landscape.

RichRelevance

Series A in 2007
RichRelevance, Inc. is a leading provider of omnichannel personalization solutions, enabling multinational companies to enhance customer experiences across various platforms, including web, mobile, and in-store environments. Founded in 2005 and headquartered in San Francisco, the company offers a comprehensive personalization platform known as Relevance Cloud, which includes tools such as RichRelevance Discover for personalized search and browsing, RichRelevance Engage for targeted marketing campaigns, and RichRelevance Recommend for data-driven product suggestions. Additionally, RichRelevance provides API-based tools through RichRelevance Build and strategic decision-making support with RichRelevance Xen AI. The firm serves over 240 clients worldwide, driving significant sales and daily decision-making processes. It has a global presence with offices in major cities, including New York, Seattle, London, and Paris, and operates as a subsidiary of Manthan Software Services Pvt. Ltd. RichRelevance's capabilities and services are designed to create differentiated customer experiences in an integrated retail landscape.

Powerset

Series A in 2006
Powerset is a company that specializes in natural language processing, developing a search engine designed to understand the semantic meaning of queries rather than relying solely on keyword searches. Founded in September 2005, Powerset aimed to create a more intuitive and user-friendly search experience. The company offers a platform that enables users to search for content on the internet by comprehending the context and nuances of their inquiries. In July 2008, Powerset was acquired by Microsoft, marking a significant expansion of its capabilities within the technology landscape.

Operand

Operand is engaged in the development of an artificial intelligence system aimed at supplanting conventional consulting methodologies.

Chalk

Chalk is a data platform that empowers machine learning and generative AI. It enables data teams to declare features and dependencies using idiomatic Python, which are then compiled into parallel pipelines running on a Rust-based engine. This ensures temporally consistent training sets for data scientists and live feature values for models, reducing development time significantly.
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