Foundation Capital

Founded in 2020, Arize AI develops a platform that monitors and explains production artificial intelligence (AI) models. Its real-time analytics enable machine learning ops teams to troubleshoot issues, reduce uncertainty, and drive continuous improvements.

Docket is an artificial intelligence platform that helps virtual sales engineers to build knowledge graphs using big language models.

Stacklet develops a cloud governance platform that optimizes costs, enhances security, and ensures regulatory compliance for businesses with large cloud estates. Its platform simplifies policy management, provides real-time asset inventory, and offers automated operations and analytics to identify trends and anomalies.

Anvilogic develops an AI‑driven cybersecurity detection platform that integrates with existing SIEM systems. The solution replaces costly, siloed detection tools with a modular engine, thousands of curated threat scenarios, and an AI security copilot. It leverages a scalable data lake to ingest high‑volume data sources, enabling rapid threat identification and triage without disrupting current operations. Clients in banking, aviation, and technology use the platform to improve detection coverage and reduce costs.

Docket is an artificial intelligence platform that helps virtual sales engineers to build knowledge graphs using big language models.

Founded in 2020, Arize AI develops a platform that monitors and explains production artificial intelligence (AI) models. Its real-time analytics enable machine learning ops teams to troubleshoot issues, reduce uncertainty, and drive continuous improvements.

Anvilogic develops an AI‑driven cybersecurity detection platform that integrates with existing SIEM systems. The solution replaces costly, siloed detection tools with a modular engine, thousands of curated threat scenarios, and an AI security copilot. It leverages a scalable data lake to ingest high‑volume data sources, enabling rapid threat identification and triage without disrupting current operations. Clients in banking, aviation, and technology use the platform to improve detection coverage and reduce costs.

Turing.com operates an online platform that connects tech companies with remote software developers for both short- and long-term projects. Founded in 2018 and headquartered in Palo Alto, California, the company specializes in vetting candidates through comprehensive assessments that evaluate their technical skills, problem-solving abilities, and communication proficiency. This rigorous selection process allows Turing to provide its clients with access to the top 1% of remote engineers across a variety of skill sets, including full stack, backend, frontend, DevOps, AI/ML, and mobile development. Turing serves a diverse clientele, including startups and Fortune 1000 companies, and has become a popular choice for developers, with over 180,000 professionals across 10,000 cities utilizing the platform to find remote job opportunities. Backed by prominent investors, Turing aims to streamline the hiring process for companies, enabling them to quickly and efficiently acquire Silicon Valley-caliber talent.

Founded in 2020, Arize AI develops a platform that monitors and explains production artificial intelligence (AI) models. Its real-time analytics enable machine learning ops teams to troubleshoot issues, reduce uncertainty, and drive continuous improvements.

Cohesity develops hyper-converged secondary storage solutions that consolidate, protect, and share non-mission-critical data assets of large organizations. Its platform, Cohesity DataPlatform, converges data protection infrastructure including backup, replication, disaster recovery, and cloud tiering. Additionally, it offers Cohesity Helios, a SaaS-based management solution for monitoring and managing secondary data and applications.

Anvilogic develops an AI‑driven cybersecurity detection platform that integrates with existing SIEM systems. The solution replaces costly, siloed detection tools with a modular engine, thousands of curated threat scenarios, and an AI security copilot. It leverages a scalable data lake to ingest high‑volume data sources, enabling rapid threat identification and triage without disrupting current operations. Clients in banking, aviation, and technology use the platform to improve detection coverage and reduce costs.

Era Software specializes in observability data management, providing modern IT and security organizations with tools to efficiently route, ingest, store, and analyze vast amounts of data for actionable insights. The company’s platform, EraSearch, simplifies the management of log data in real-time while significantly reducing costs compared to traditional solutions. As enterprises face challenges in handling exponentially growing data volumes, Era Software addresses critical visibility gaps that can arise from data collection limitations. Additionally, the company has developed a time-series database tailored for machine learning and anomaly detection, which resolves issues of scale, performance, and cost associated with modern application architectures, including cloud, containers, and microservices. By offering unified access to data, Era Software facilitates faster collaboration and innovation among IT teams.

DataDistillr is an enterprise platform designed to enhance data discovery and value extraction for data scientists and security professionals. The company offers a robust toolset that can detect security threats early, preventing potential risks to organizational assets. Its platform facilitates the connection to diverse data sets from various locations, enabling users to upload, manage, filter, and share data across different formats. Additionally, DataDistillr provides intuitive charts, dashboards, and graphs that deliver visual insights into cyber data, allowing users to simulate and visualize information effectively. With its comprehensive capabilities, DataDistillr aims to standardize data management and improve overall organizational data strategies.

Stacklet develops a cloud governance platform that optimizes costs, enhances security, and ensures regulatory compliance for businesses with large cloud estates. Its platform simplifies policy management, provides real-time asset inventory, and offers automated operations and analytics to identify trends and anomalies.

Turing.com operates an online platform that connects tech companies with remote software developers for both short- and long-term projects. Founded in 2018 and headquartered in Palo Alto, California, the company specializes in vetting candidates through comprehensive assessments that evaluate their technical skills, problem-solving abilities, and communication proficiency. This rigorous selection process allows Turing to provide its clients with access to the top 1% of remote engineers across a variety of skill sets, including full stack, backend, frontend, DevOps, AI/ML, and mobile development. Turing serves a diverse clientele, including startups and Fortune 1000 companies, and has become a popular choice for developers, with over 180,000 professionals across 10,000 cities utilizing the platform to find remote job opportunities. Backed by prominent investors, Turing aims to streamline the hiring process for companies, enabling them to quickly and efficiently acquire Silicon Valley-caliber talent.

Anvilogic develops an AI‑driven cybersecurity detection platform that integrates with existing SIEM systems. The solution replaces costly, siloed detection tools with a modular engine, thousands of curated threat scenarios, and an AI security copilot. It leverages a scalable data lake to ingest high‑volume data sources, enabling rapid threat identification and triage without disrupting current operations. Clients in banking, aviation, and technology use the platform to improve detection coverage and reduce costs.

Layer 6 Inc., based in Toronto, Canada, specializes in providing a platform for deploying machine learning solutions through its artificial intelligence prediction engine tailored for enterprise data. As a subsidiary of The Toronto-Dominion Bank, the company focuses on enabling enterprise clients, particularly in sectors such as financial services, insurance, media, e-commerce, and retail, to leverage advanced deep learning technologies. By enhancing data utilization, Layer 6 AI helps organizations accelerate their business processes and make informed decisions, ultimately driving improved outcomes across various industries.

Turing.com operates an online platform that connects tech companies with remote software developers for both short- and long-term projects. Founded in 2018 and headquartered in Palo Alto, California, the company specializes in vetting candidates through comprehensive assessments that evaluate their technical skills, problem-solving abilities, and communication proficiency. This rigorous selection process allows Turing to provide its clients with access to the top 1% of remote engineers across a variety of skill sets, including full stack, backend, frontend, DevOps, AI/ML, and mobile development. Turing serves a diverse clientele, including startups and Fortune 1000 companies, and has become a popular choice for developers, with over 180,000 professionals across 10,000 cities utilizing the platform to find remote job opportunities. Backed by prominent investors, Turing aims to streamline the hiring process for companies, enabling them to quickly and efficiently acquire Silicon Valley-caliber talent.

DataDistillr is an enterprise platform designed to enhance data discovery and value extraction for data scientists and security professionals. The company offers a robust toolset that can detect security threats early, preventing potential risks to organizational assets. Its platform facilitates the connection to diverse data sets from various locations, enabling users to upload, manage, filter, and share data across different formats. Additionally, DataDistillr provides intuitive charts, dashboards, and graphs that deliver visual insights into cyber data, allowing users to simulate and visualize information effectively. With its comprehensive capabilities, DataDistillr aims to standardize data management and improve overall organizational data strategies.

Stacklet develops a cloud governance platform that optimizes costs, enhances security, and ensures regulatory compliance for businesses with large cloud estates. Its platform simplifies policy management, provides real-time asset inventory, and offers automated operations and analytics to identify trends and anomalies.

Cohesity develops hyper-converged secondary storage solutions that consolidate, protect, and share non-mission-critical data assets of large organizations. Its platform, Cohesity DataPlatform, converges data protection infrastructure including backup, replication, disaster recovery, and cloud tiering. Additionally, it offers Cohesity Helios, a SaaS-based management solution for monitoring and managing secondary data and applications.

Turing.com operates an online platform that connects tech companies with remote software developers for both short- and long-term projects. Founded in 2018 and headquartered in Palo Alto, California, the company specializes in vetting candidates through comprehensive assessments that evaluate their technical skills, problem-solving abilities, and communication proficiency. This rigorous selection process allows Turing to provide its clients with access to the top 1% of remote engineers across a variety of skill sets, including full stack, backend, frontend, DevOps, AI/ML, and mobile development. Turing serves a diverse clientele, including startups and Fortune 1000 companies, and has become a popular choice for developers, with over 180,000 professionals across 10,000 cities utilizing the platform to find remote job opportunities. Backed by prominent investors, Turing aims to streamline the hiring process for companies, enabling them to quickly and efficiently acquire Silicon Valley-caliber talent.

Founded in 2020, Arize AI develops a platform that monitors and explains production artificial intelligence (AI) models. Its real-time analytics enable machine learning ops teams to troubleshoot issues, reduce uncertainty, and drive continuous improvements.

Era Software specializes in observability data management, providing modern IT and security organizations with tools to efficiently route, ingest, store, and analyze vast amounts of data for actionable insights. The company’s platform, EraSearch, simplifies the management of log data in real-time while significantly reducing costs compared to traditional solutions. As enterprises face challenges in handling exponentially growing data volumes, Era Software addresses critical visibility gaps that can arise from data collection limitations. Additionally, the company has developed a time-series database tailored for machine learning and anomaly detection, which resolves issues of scale, performance, and cost associated with modern application architectures, including cloud, containers, and microservices. By offering unified access to data, Era Software facilitates faster collaboration and innovation among IT teams.

Watchful develops a platform for real-time data filtering, tagging, and routing. It empowers engineers, analysts, admins, domain experts, and data scientists to control their data effectively. The company's solution accelerates AI development by automating the creation of labeled training sets without manual labeling. Incorporated in 2016, Watchful is headquartered in San Francisco.

AutoGrid Systems is a technology company focused on optimizing energy management through advanced data analytics. Founded in 2011 at Stanford University, AutoGrid develops a suite of flexibility management applications that help utilities, electricity retailers, renewable energy developers, and energy service providers manage distributed energy resources (DERs) in real time. By leveraging vast amounts of smart meter, sensor, and third-party data, the company's applications utilize sophisticated algorithms to monitor, predict, optimize, and control the operations of numerous assets connected to global energy networks. With a team of skilled software architects, engineers, data scientists, and energy experts, AutoGrid aims to address critical energy challenges by integrating and maximizing the potential of the energy internet, ensuring the delivery of clean, affordable, and reliable energy.

Founded in 2015, Quilt Data operates a platform that facilitates collaborative data management. It enables organizations to work with data more efficiently, making informed decisions faster and enhancing overall success.

Cohesity develops hyper-converged secondary storage solutions that consolidate, protect, and share non-mission-critical data assets of large organizations. Its platform, Cohesity DataPlatform, converges data protection infrastructure including backup, replication, disaster recovery, and cloud tiering. Additionally, it offers Cohesity Helios, a SaaS-based management solution for monitoring and managing secondary data and applications.

Opas AI is a specialized firm focused on artificial intelligence for root cause analysis in IT systems. It offers an AI-driven platform designed to automate the identification of critical production issues. The platform monitors and logs solutions, collects relevant data, triggers alerts, and provides definitive answers to engineers, enhancing their ability to resolve production problems efficiently.

AutoGrid Systems is a technology company focused on optimizing energy management through advanced data analytics. Founded in 2011 at Stanford University, AutoGrid develops a suite of flexibility management applications that help utilities, electricity retailers, renewable energy developers, and energy service providers manage distributed energy resources (DERs) in real time. By leveraging vast amounts of smart meter, sensor, and third-party data, the company's applications utilize sophisticated algorithms to monitor, predict, optimize, and control the operations of numerous assets connected to global energy networks. With a team of skilled software architects, engineers, data scientists, and energy experts, AutoGrid aims to address critical energy challenges by integrating and maximizing the potential of the energy internet, ensuring the delivery of clean, affordable, and reliable energy.

Percolata is a Palo Alto-based startup that provides an innovative hardware and software platform designed to help retailers optimize in-store customer traffic and staffing. By utilizing technologies such as video, audio, and mobile fingerprinting, the company employs artificial intelligence and predictive analytics to forecast foot traffic and sales on an hourly basis. This allows retailers to align their staffing levels with customer demand, enhancing operational efficiency. Percolata's solution can lead to significant improvements in sales performance, with reported increases of up to 30%, while also reducing costs associated with both understaffing and overstaffing.

Percolata is a Palo Alto-based startup that provides an innovative hardware and software platform designed to help retailers optimize in-store customer traffic and staffing. By utilizing technologies such as video, audio, and mobile fingerprinting, the company employs artificial intelligence and predictive analytics to forecast foot traffic and sales on an hourly basis. This allows retailers to align their staffing levels with customer demand, enhancing operational efficiency. Percolata's solution can lead to significant improvements in sales performance, with reported increases of up to 30%, while also reducing costs associated with both understaffing and overstaffing.

Trufa Inc. is a technology company that specializes in developing a cloud-based performance management application tailored for financial and operations professionals. Founded in 2013 and headquartered in San Mateo, California, with additional offices in Heidelberg and Munich, Germany, Trufa focuses on leveraging advanced analytics and artificial intelligence to analyze vast amounts of operational data in real-time. Its platform enables enterprises to identify opportunities for improvement, simulate changes, and assess their financial impacts, ultimately enhancing cash flow and overall financial performance. By connecting finance and operations, Trufa empowers CFOs to optimize working capital effectively, addressing root causes of inefficiencies and improving key financial metrics such as inventory and cash flow.

AutoGrid Systems is a technology company focused on optimizing energy management through advanced data analytics. Founded in 2011 at Stanford University, AutoGrid develops a suite of flexibility management applications that help utilities, electricity retailers, renewable energy developers, and energy service providers manage distributed energy resources (DERs) in real time. By leveraging vast amounts of smart meter, sensor, and third-party data, the company's applications utilize sophisticated algorithms to monitor, predict, optimize, and control the operations of numerous assets connected to global energy networks. With a team of skilled software architects, engineers, data scientists, and energy experts, AutoGrid aims to address critical energy challenges by integrating and maximizing the potential of the energy internet, ensuring the delivery of clean, affordable, and reliable energy.

Percolata is a Palo Alto-based startup that provides an innovative hardware and software platform designed to help retailers optimize in-store customer traffic and staffing. By utilizing technologies such as video, audio, and mobile fingerprinting, the company employs artificial intelligence and predictive analytics to forecast foot traffic and sales on an hourly basis. This allows retailers to align their staffing levels with customer demand, enhancing operational efficiency. Percolata's solution can lead to significant improvements in sales performance, with reported increases of up to 30%, while also reducing costs associated with both understaffing and overstaffing.

D2iQ develops a datacenter operating system (DCOS) that spans various machines in a datacenter or cloud. It organizes infrastructure, provides scalable application deployment, and supports big data infrastructure on shared resources. D2iQ offers products like Mesosphere DCOS, Infinity, and Conductor, along with architectural consulting services.

AutoGrid Systems is a technology company focused on optimizing energy management through advanced data analytics. Founded in 2011 at Stanford University, AutoGrid develops a suite of flexibility management applications that help utilities, electricity retailers, renewable energy developers, and energy service providers manage distributed energy resources (DERs) in real time. By leveraging vast amounts of smart meter, sensor, and third-party data, the company's applications utilize sophisticated algorithms to monitor, predict, optimize, and control the operations of numerous assets connected to global energy networks. With a team of skilled software architects, engineers, data scientists, and energy experts, AutoGrid aims to address critical energy challenges by integrating and maximizing the potential of the energy internet, ensuring the delivery of clean, affordable, and reliable energy.

Quantivo is a provider of analytical software that delivers innovative ad-hoc analytics tools for marketing, enabling businesses to conduct rapid and flexible data analysis. Its proprietary pattern-store technology and advanced query engine allow users to audit, load, integrate, and analyze large datasets from various sources within hours, rather than weeks. The platform features an intuitive drag-and-drop interface that simplifies complex queries, providing quick insights into data and revealing monetizable trends often obscured by traditional analytics solutions. With a focus on accessibility, Quantivo caters to businesses of all sizes, facilitating self-service analytics through an affordable pricing model. Since its commercial launch in 2005, the platform has been utilized by Fortune 500 companies and has earned multiple patents, underscoring its innovative approach to business intelligence.