Battery Ventures, established in 1983 and headquartered in Boston, Massachusetts, is a technology-focused private equity and venture capital firm. It invests in early and growth-stage companies across various technology sectors, including application software, IT infrastructure, consumer internet, mobile services, and industrial technologies. The firm's investment strategy is global, targeting companies primarily in the United States, Europe, and Israel. Battery Ventures is registered as an Investment Adviser.
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Roland Anderson
Principal
Dallin Bills
Principal
Sudheendra Chilappagari
Vice President, Investments
Danel Dayan
Venture Investor
Zak Ewen
Partner
Zakary Ewen
Partner
Cornel J. Faucher
Partner
Russell Fleischer
General Partner
Duncan Gills
Principal
Brandon Gleklen
Principal
Barak Schoster
Partner
Luis-Luca de Haas
Analyst, Investments
Satoshi Harris-Koizumi
Partner
Margaret Hendren
Analyst
Olivia Henkoff
Venture Capital Investor
Dillon Joyce
Principal
Max-Julian Kaye
Principal
Lior Mallul
Vice President, Investments
Thomas Marchioni
Analyst, Investments
Victoria Mayzlish
Analyst, Investments
Paul Morrissey
Principal
Elena Painter
Associate
Itzik Parnafes
General Partner
Matt Penney
Vice President, Information Technology
Aaron Rinberg
Vice President
Justin Rosner
Principal
Chris Schiavo
CFO
Collier Searle
Principal
Tate Searle
Analyst
Shiran Shalev
Partner
Zachary Smotherman
General Partner
Zack Smotherman
Partner and Private Equity Investor
Gavin Tasker
Associate, Investments
Estelle Tessaro
Analyst, Private Equity
Dharmesh Thakker
General Partner
Scott Tobin
Managing Partner
Chandler Ward
Analyst
Enzo Wiener
Associate, Investments
Peter Winans
Associate, Investments
Past deals in Machine Learning
Nexthop AI
Series A in 2025
Nexthop AI develops AI infrastructure and custom networking solutions for large cloud operators, focusing on enhancing operational efficiency and connectivity within complex network environments. The company offers a range of services, including network automation, data management, and analytics, enabling clients to optimize their network performance and streamline their operations. Through its innovative solutions, Nexthop AI addresses the challenges faced by cloud operators, providing tools that facilitate seamless integration and scalability in dynamic computing environments. Additionally, Nexthop AI emphasizes compatibility with open-source network operating systems, allowing clients to leverage existing technologies while implementing advanced networking strategies.
Quantum Machines
Series C in 2025
Quantum Machines is a start-up focused on developing advanced control and operation systems for quantum computers. The company specializes in creating innovative software, hardware, and electronics that integrate classical engineering disciplines, including electrical, hardware, and software engineering, with the principles of quantum computing. By employing expertise in algorithmics, digital signal processing, RF microwave engineering, machine learning, and quantum physics, Quantum Machines aims to enhance the capabilities of quantum technology. Their next-generation quantum controllers are designed to translate quantum algorithms into pulse sequences, enabling organizations across various industries to execute complex quantum algorithms and experiments in an intuitive and efficient manner.
Arize
Series C in 2025
Arize AI, Inc. is a technology company that specializes in a platform designed for monitoring and troubleshooting production artificial intelligence (AI) and machine learning models. Founded in 2020 and headquartered in Mill Valley, California, Arize AI provides a machine learning observability platform that utilizes real-time analytics to deliver insights for operational teams. This platform enables clients to quickly identify and resolve issues, enhance model performance, and reduce uncertainty in AI deployments. By leveraging advanced artificial intelligence technology, Arize AI empowers organizations to improve their AI systems continuously, facilitating better decision-making and operational efficiency.
Coram AI
Series A in 2025
Coram AI develops video intelligence systems aimed at enhancing business operations. The company offers a platform that transforms standard cameras into intelligent systems, providing valuable insights into various aspects of daily operations, including safety and security. By leveraging this technology, businesses of all sizes can gain fresh perspectives on their processes and make informed decisions that drive operational improvements. Coram AI's innovative approach allows clients to utilize their existing camera infrastructure more effectively, turning passive video recording into an active tool for operational enhancement.
Neuron7.ai
Series B in 2024
Neuron7.ai is a developer of an AI-driven service intelligence platform designed to assist enterprises in making accurate service decisions at scale. The platform rapidly delivers service predictions by processing and analyzing both structured and unstructured data from various sources, including insights from industry experts. By leveraging this comprehensive approach, Neuron7.ai enables service leaders to meet critical performance metrics and achieve significant service outcomes.
Galileo
Series B in 2024
Galileo.ai is an AI platform that specializes in developing, testing, monitoring, and securing AI applications. It offers a data intelligence platform that enhances machine learning by analyzing unlabeled data to automatically identify error patterns and data gaps within models. This capability allows clients to improve operational efficiencies, reduce costs, and address data biases across various sectors, including healthcare, financial services, and insurance. Through its innovative solutions, Galileo.ai aims to advance the effectiveness of AI technologies in diverse industries.
Level AI
Series C in 2024
Level AI is a company based in Mountain View, California, that is transforming customer contact centers through its advanced conversational intelligence platform. This platform provides real-time insights that empower agents to assist customers efficiently and effectively during interactions. By automating tedious workflows, Level AI enhances the overall customer experience, allowing front-line workers to operate with the speed and intelligence of a supercomputer while maintaining a natural, human approach. The company is supported by prominent investors, including Battery Ventures, ENIAC, and Village Global, reflecting its potential to redefine how businesses manage customer interactions across various marketing channels.
Hyperexponential
Series B in 2024
Hyperexponential is a provider of pricing decision intelligence software tailored for the commercial insurance sector. Its platform allows insurers to utilize large and alternative datasets to enhance their rating tools and make informed pricing decisions based on sophisticated machine-learning techniques. The software is designed to track live rate changes and assess portfolio performance, combining extensive actuarial pricing knowledge with software engineering skills. This enables clients to effectively address pricing challenges in the specialty insurance market, ultimately facilitating better risk assessment at both the portfolio and individual levels.
Mine
Series B in 2023
Mine is a technology company focused on empowering individuals to take control of their personal data online. The platform allows users to quickly identify companies that hold their sensitive information, including personal, financial, and health data. By integrating with users' email, Mine scans interactions to determine potential data holdings and facilitates a simple process for users to request data deletion from those companies. This capability supports users' rights to privacy and helps minimize their online exposure, reducing potential risks associated with data breaches and misuse. Ultimately, Mine promotes the concept of data ownership as a fundamental human right, ensuring that individuals can manage their personal information effectively.
Weaviate
Series B in 2023
Weaviate is a developer of an open-source AI platform that specializes in creating search and recommendation systems. The company's hybrid SaaS platform features a powerful AI vector search engine, which is designed to handle various use cases, including semantic search. It also includes plugins for integration into different applications and a user-friendly console for data management. Weaviate's architecture allows for efficient scaling, supporting the deployment of machine learning models and handling billions of data objects. This capability enables clients to leverage advanced search functionalities and enhance their applications with effective recommendation systems.
Seek AI
Seed Round in 2023
Seek AI is a developer of an advanced data analytics platform that addresses data bottleneck issues faced by organizations. By leveraging artificial intelligence, the platform facilitates more efficient data management, significantly reducing human error and inefficiencies within data teams. This innovative approach enables organizations to complete projects faster and at a lower cost, ultimately enhancing overall productivity. Seek AI's intelligent data layer allows users to interact with their data seamlessly, empowering them to extract valuable insights and make informed decisions.
Lindy
Series B in 2023
Lindy is an AI assistant that can help with all your tasks, from calendar management and email drafting to contract sending and beyond.
Avrios
Acquisition in 2023
Avrios is a cloud-based company that offers a digital fleet management platform designed to streamline fleet administration and enhance business mobility decisions. The platform integrates data and utilizes machine learning to provide a comprehensive overview of the vehicle life-cycle, ensuring legal compliance and efficient fleet management. It features automated driver communication and algorithms that help identify costs associated with fleet operations. By delivering just-in-time insights and automating various processes, Avrios enables fleet operators to save time and manage their transportation needs in a cost-effective manner.
Lindy
Series A in 2023
Lindy is an AI assistant that can help with all your tasks, from calendar management and email drafting to contract sending and beyond.
Galileo
Series A in 2022
Galileo.ai is an AI platform that specializes in developing, testing, monitoring, and securing AI applications. It offers a data intelligence platform that enhances machine learning by analyzing unlabeled data to automatically identify error patterns and data gaps within models. This capability allows clients to improve operational efficiencies, reduce costs, and address data biases across various sectors, including healthcare, financial services, and insurance. Through its innovative solutions, Galileo.ai aims to advance the effectiveness of AI technologies in diverse industries.
Arize
Series B in 2022
Arize AI, Inc. is a technology company that specializes in a platform designed for monitoring and troubleshooting production artificial intelligence (AI) and machine learning models. Founded in 2020 and headquartered in Mill Valley, California, Arize AI provides a machine learning observability platform that utilizes real-time analytics to deliver insights for operational teams. This platform enables clients to quickly identify and resolve issues, enhance model performance, and reduce uncertainty in AI deployments. By leveraging advanced artificial intelligence technology, Arize AI empowers organizations to improve their AI systems continuously, facilitating better decision-making and operational efficiency.
Neuron7.ai
Series A in 2022
Neuron7.ai is a developer of an AI-driven service intelligence platform designed to assist enterprises in making accurate service decisions at scale. The platform rapidly delivers service predictions by processing and analyzing both structured and unstructured data from various sources, including insights from industry experts. By leveraging this comprehensive approach, Neuron7.ai enables service leaders to meet critical performance metrics and achieve significant service outcomes.
CardinalOps
Series A in 2022
CardinalOps is a network security company that specializes in providing AI-driven threat detection solutions for enterprises. Its platform enhances the existing security stack by maximizing MITRE ATT&CK coverage and addressing hidden detection gaps. Recognizing that detection engineers often rely on outdated methods such as spreadsheets to manage their security tools, CardinalOps leverages proprietary analytics and API-driven automation to deliver continuous security improvements. This approach allows security operations center (SOC) teams to adapt to the evolving threat landscape and complex IT infrastructures by identifying and remediating broken detection rules and misconfigured log sources. Through its innovative software, CardinalOps enables organizations to stay ahead of emerging threats and maintain robust cybersecurity defenses.
Level AI
Series B in 2022
Level AI is a company based in Mountain View, California, that is transforming customer contact centers through its advanced conversational intelligence platform. This platform provides real-time insights that empower agents to assist customers efficiently and effectively during interactions. By automating tedious workflows, Level AI enhances the overall customer experience, allowing front-line workers to operate with the speed and intelligence of a supercomputer while maintaining a natural, human approach. The company is supported by prominent investors, including Battery Ventures, ENIAC, and Village Global, reflecting its potential to redefine how businesses manage customer interactions across various marketing channels.
Kodiak Robotics
Series B in 2021
Kodiak Robotics, Inc. is focused on developing autonomous technology specifically for long-haul trucking. Founded in 2018 and based in Mountain View, California, the company specializes in creating self-driving trucks designed to operate on highway routes. Kodiak Robotics employs advanced sensor fusion systems and innovative mapping solutions to enable its vehicles to manage all aspects of highway driving. This technology aims to enhance network efficiency and reduce operational costs for businesses in the logistics sector.
Arize
Series A in 2021
Arize AI, Inc. is a technology company that specializes in a platform designed for monitoring and troubleshooting production artificial intelligence (AI) and machine learning models. Founded in 2020 and headquartered in Mill Valley, California, Arize AI provides a machine learning observability platform that utilizes real-time analytics to deliver insights for operational teams. This platform enables clients to quickly identify and resolve issues, enhance model performance, and reduce uncertainty in AI deployments. By leveraging advanced artificial intelligence technology, Arize AI empowers organizations to improve their AI systems continuously, facilitating better decision-making and operational efficiency.
Quantum Machines
Series B in 2021
Quantum Machines is a start-up focused on developing advanced control and operation systems for quantum computers. The company specializes in creating innovative software, hardware, and electronics that integrate classical engineering disciplines, including electrical, hardware, and software engineering, with the principles of quantum computing. By employing expertise in algorithmics, digital signal processing, RF microwave engineering, machine learning, and quantum physics, Quantum Machines aims to enhance the capabilities of quantum technology. Their next-generation quantum controllers are designed to translate quantum algorithms into pulse sequences, enabling organizations across various industries to execute complex quantum algorithms and experiments in an intuitive and efficient manner.
Level AI
Series A in 2021
Level AI is a company based in Mountain View, California, that is transforming customer contact centers through its advanced conversational intelligence platform. This platform provides real-time insights that empower agents to assist customers efficiently and effectively during interactions. By automating tedious workflows, Level AI enhances the overall customer experience, allowing front-line workers to operate with the speed and intelligence of a supercomputer while maintaining a natural, human approach. The company is supported by prominent investors, including Battery Ventures, ENIAC, and Village Global, reflecting its potential to redefine how businesses manage customer interactions across various marketing channels.
Neuron7.ai
Seed Round in 2021
Neuron7.ai is a developer of an AI-driven service intelligence platform designed to assist enterprises in making accurate service decisions at scale. The platform rapidly delivers service predictions by processing and analyzing both structured and unstructured data from various sources, including insights from industry experts. By leveraging this comprehensive approach, Neuron7.ai enables service leaders to meet critical performance metrics and achieve significant service outcomes.
Launchable
Series A in 2021
Launchable, Inc. is a software testing platform founded in 2019 and based in San Jose, California. The company focuses on enhancing the efficiency of software development teams by reducing the time required to run tests and facilitating faster code deployment. By utilizing machine learning, Launchable optimizes the continuous integration pipeline, allowing developers to identify and execute only the most relevant tests. This approach not only accelerates testing processes but also improves software quality by enabling teams to detect bugs more quickly and reduce risks associated with software releases. Ultimately, Launchable aims to support developers in increasing commit frequency and decreasing time-to-production, fostering a culture of Continuous Quality in software development.
CardinalOps
Seed Round in 2021
CardinalOps is a network security company that specializes in providing AI-driven threat detection solutions for enterprises. Its platform enhances the existing security stack by maximizing MITRE ATT&CK coverage and addressing hidden detection gaps. Recognizing that detection engineers often rely on outdated methods such as spreadsheets to manage their security tools, CardinalOps leverages proprietary analytics and API-driven automation to deliver continuous security improvements. This approach allows security operations center (SOC) teams to adapt to the evolving threat landscape and complex IT infrastructures by identifying and remediating broken detection rules and misconfigured log sources. Through its innovative software, CardinalOps enables organizations to stay ahead of emerging threats and maintain robust cybersecurity defenses.
Harness
Series C in 2021
Harness, Inc. is a technology company that develops a Continuous Delivery-as-a-Service platform aimed at simplifying the software delivery process for engineering and DevOps teams. Founded in 2015 and headquartered in San Francisco, California, the platform leverages machine learning to automate various aspects of code deployment, including test prioritization, cloud cost management, and continuous verification. Key features of Harness's platform include a pipeline builder, workflow wizard, automated rollback capabilities, secrets management, audit trails, and real-time delivery analytics. By streamlining these processes, Harness enables organizations to accelerate their cloud initiatives and enhance their adoption of modern containerization and orchestration technologies.
Mine
Series A in 2020
Mine is a technology company focused on empowering individuals to take control of their personal data online. The platform allows users to quickly identify companies that hold their sensitive information, including personal, financial, and health data. By integrating with users' email, Mine scans interactions to determine potential data holdings and facilitates a simple process for users to request data deletion from those companies. This capability supports users' rights to privacy and helps minimize their online exposure, reducing potential risks associated with data breaches and misuse. Ultimately, Mine promotes the concept of data ownership as a fundamental human right, ensuring that individuals can manage their personal information effectively.
Dataiku
Series D in 2020
Dataiku Inc. is a company that develops a centralized data platform designed to support businesses in their data journey from analytics to enterprise AI. Founded in 2013, and headquartered in New York with additional offices in Paris and London, Dataiku offers a collaborative data science software platform known as Dataiku DSS. This platform enables teams of data scientists, analysts, and engineers to prepare, analyze, and visualize data effectively. It includes tools for data profiling, interactive exploration, and machine learning capabilities, allowing organizations to build and deploy data products efficiently. By providing a repository of best practices and a controlled environment, Dataiku aims to foster collaboration among data professionals and streamline the development of impactful models and innovative solutions. Prominent clients like Unilever and GE utilize Dataiku to enhance their data-driven decision-making processes and adapt to the growing volume of data they manage.
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.
Quantum Machines
Series A in 2020
Quantum Machines is a start-up focused on developing advanced control and operation systems for quantum computers. The company specializes in creating innovative software, hardware, and electronics that integrate classical engineering disciplines, including electrical, hardware, and software engineering, with the principles of quantum computing. By employing expertise in algorithmics, digital signal processing, RF microwave engineering, machine learning, and quantum physics, Quantum Machines aims to enhance the capabilities of quantum technology. Their next-generation quantum controllers are designed to translate quantum algorithms into pulse sequences, enabling organizations across various industries to execute complex quantum algorithms and experiments in an intuitive and efficient manner.
Mine
Seed Round in 2020
Mine is a technology company focused on empowering individuals to take control of their personal data online. The platform allows users to quickly identify companies that hold their sensitive information, including personal, financial, and health data. By integrating with users' email, Mine scans interactions to determine potential data holdings and facilitates a simple process for users to request data deletion from those companies. This capability supports users' rights to privacy and helps minimize their online exposure, reducing potential risks associated with data breaches and misuse. Ultimately, Mine promotes the concept of data ownership as a fundamental human right, ensuring that individuals can manage their personal information effectively.
BigPanda
Series C in 2019
BigPanda, Inc. is a software development company that specializes in a data science platform designed to centralize and correlate IT alerts for organizations. Founded in 2011 and headquartered in Mountain View, California, with an additional office in Tel Aviv, Israel, BigPanda's platform helps IT operations, network operations centers, and DevOps teams detect, investigate, and resolve IT incidents effectively. By leveraging advanced machine learning algorithms, the platform transforms numerous daily IT alerts from various fragmented systems into actionable insights, enabling users to automate incident management and improve overall service performance. BigPanda serves a diverse range of industries, including retail, technology, and media, with notable clients such as Intel, TiVO, and Workday, assisting them in reducing operational costs and enhancing their digital transformation efforts.
Launchable
Seed Round in 2019
Launchable, Inc. is a software testing platform founded in 2019 and based in San Jose, California. The company focuses on enhancing the efficiency of software development teams by reducing the time required to run tests and facilitating faster code deployment. By utilizing machine learning, Launchable optimizes the continuous integration pipeline, allowing developers to identify and execute only the most relevant tests. This approach not only accelerates testing processes but also improves software quality by enabling teams to detect bugs more quickly and reduce risks associated with software releases. Ultimately, Launchable aims to support developers in increasing commit frequency and decreasing time-to-production, fostering a culture of Continuous Quality in software development.
Cogito
Series C in 2019
Cogito is a technology company that specializes in enhancing the emotional intelligence of phone professionals through advanced artificial intelligence and machine learning. By leveraging behavioral science, Cogito's software analyzes various behavioral signals during conversations, offering real-time coaching to agents. This system not only guides agents in their interactions but also provides a continuous assessment of customer experience for each call. Through its innovative approach, Cogito enables enterprises to foster stronger relationships with their customers, improve sales outcomes, and enhance the overall quality of service provided.
Entelo
Venture Round in 2019
Entelo is a recruitment platform that leverages data science and machine learning to assist companies in identifying and recruiting technical talent. Its SaaS-based solution enables talent acquisition teams to automatically rank and screen applicants using directed scoring technologies, thereby enhancing key metrics such as quality of hire, time to hire, and cost per hire. With over 600 customers across various industries, Entelo provides actionable insights and increases candidate engagement, making it a trusted partner for organizations aiming to improve their recruitment processes. Notable clients include prominent companies like Capital One, Cisco, and Netflix, which utilize Entelo's capabilities to build effective teams.
6Sense
Venture Round in 2019
6sense is a developer of a predictive intelligence platform that enhances revenue growth for organizations. The company utilizes artificial intelligence, big data, and machine learning to provide comprehensive visibility across the customer journey, from brand awareness to revenue generation. Its platform captures anonymous buying signals and buyer intent data, allowing sales, marketing, and customer success teams to target the right accounts effectively. By recommending optimal channels and messages, 6sense removes guesswork and inefficiencies from the sales process, leading to improved pipeline quality, accelerated sales velocity, and higher conversion rates. Through its innovative approach, 6sense aims to empower revenue teams to grow revenue predictably and efficiently.
Databricks
Series E in 2019
Databricks Inc. is a technology company that provides a unified data analytics cloud platform designed to facilitate data engineering and collaborative data science. The company offers a comprehensive suite of tools, including a just-in-time data platform that simplifies data integration, real-time experimentation, and deployment of production applications for developers and data scientists. Key products include Databricks Delta, which combines the capabilities of data warehouses with low-latency streaming, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, manufacturing, and telecommunications, and has established strategic partnerships with various organizations to enhance its offerings. Founded in 2013, Databricks is headquartered in San Francisco, California, with additional offices in London, Amsterdam, and Bengaluru.
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.
Dataiku
Series C in 2018
Dataiku Inc. is a company that develops a centralized data platform designed to support businesses in their data journey from analytics to enterprise AI. Founded in 2013, and headquartered in New York with additional offices in Paris and London, Dataiku offers a collaborative data science software platform known as Dataiku DSS. This platform enables teams of data scientists, analysts, and engineers to prepare, analyze, and visualize data effectively. It includes tools for data profiling, interactive exploration, and machine learning capabilities, allowing organizations to build and deploy data products efficiently. By providing a repository of best practices and a controlled environment, Dataiku aims to foster collaboration among data professionals and streamline the development of impactful models and innovative solutions. Prominent clients like Unilever and GE utilize Dataiku to enhance their data-driven decision-making processes and adapt to the growing volume of data they manage.
Cogito
Series C in 2018
Cogito is a technology company that specializes in enhancing the emotional intelligence of phone professionals through advanced artificial intelligence and machine learning. By leveraging behavioral science, Cogito's software analyzes various behavioral signals during conversations, offering real-time coaching to agents. This system not only guides agents in their interactions but also provides a continuous assessment of customer experience for each call. Through its innovative approach, Cogito enables enterprises to foster stronger relationships with their customers, improve sales outcomes, and enhance the overall quality of service provided.
Quantum Machines
Seed Round in 2018
Quantum Machines is a start-up focused on developing advanced control and operation systems for quantum computers. The company specializes in creating innovative software, hardware, and electronics that integrate classical engineering disciplines, including electrical, hardware, and software engineering, with the principles of quantum computing. By employing expertise in algorithmics, digital signal processing, RF microwave engineering, machine learning, and quantum physics, Quantum Machines aims to enhance the capabilities of quantum technology. Their next-generation quantum controllers are designed to translate quantum algorithms into pulse sequences, enabling organizations across various industries to execute complex quantum algorithms and experiments in an intuitive and efficient manner.
Machinify
Series A in 2018
Machinify, Inc. is a company that operates a data-to-cash platform aimed at optimizing enterprise operations through artificial intelligence. Founded in 2016 and based in Palo Alto, California, Machinify leverages AI technology to help businesses effectively process their data and uncover hidden profits through automated decision-making. Its offerings include AI Cloud, which manages semi-structured and unstructured real-time data; AI Studio, which facilitates the automated building and testing of AI models through a user-friendly interface; and AI Runtime, which generates the necessary infrastructure for real-time or batch predictions. By automating data collection, transformation, and product deployment, Machinify enables domain experts to transform raw data into smart, automated decisions, ultimately reducing the time required to develop and deploy AI-driven solutions across various sectors, including healthcare.
Kodiak Robotics
Series A in 2018
Kodiak Robotics, Inc. is focused on developing autonomous technology specifically for long-haul trucking. Founded in 2018 and based in Mountain View, California, the company specializes in creating self-driving trucks designed to operate on highway routes. Kodiak Robotics employs advanced sensor fusion systems and innovative mapping solutions to enable its vehicles to manage all aspects of highway driving. This technology aims to enhance network efficiency and reduce operational costs for businesses in the logistics sector.
BigPanda
Series B in 2017
BigPanda, Inc. is a software development company that specializes in a data science platform designed to centralize and correlate IT alerts for organizations. Founded in 2011 and headquartered in Mountain View, California, with an additional office in Tel Aviv, Israel, BigPanda's platform helps IT operations, network operations centers, and DevOps teams detect, investigate, and resolve IT incidents effectively. By leveraging advanced machine learning algorithms, the platform transforms numerous daily IT alerts from various fragmented systems into actionable insights, enabling users to automate incident management and improve overall service performance. BigPanda serves a diverse range of industries, including retail, technology, and media, with notable clients such as Intel, TiVO, and Workday, assisting them in reducing operational costs and enhancing their digital transformation efforts.
Reflektion
Series B in 2017
Reflektion, Inc. is a technology company that specializes in developing an artificial intelligence-driven customer engagement platform aimed at enhancing e-commerce experiences. Founded in 2012 and headquartered in San Mateo, California, Reflektion's platform utilizes AI to analyze individual shopper behaviors, preferences, and intent, allowing businesses to deliver personalized content and product recommendations in real-time across various digital channels. The company offers solutions such as personalized site search, predictive product recommendations, and tailored email marketing. By integrating these features, Reflektion helps retailers optimize customer engagement and create relevant shopping experiences. The company also provides analytic tools, including a personalization dashboard and customer insights, enabling businesses to track performance and improve their marketing strategies. Reflektion has established strategic alliances and partnerships with other technology firms to enhance its offerings.
Dataiku
Series B in 2017
Dataiku Inc. is a company that develops a centralized data platform designed to support businesses in their data journey from analytics to enterprise AI. Founded in 2013, and headquartered in New York with additional offices in Paris and London, Dataiku offers a collaborative data science software platform known as Dataiku DSS. This platform enables teams of data scientists, analysts, and engineers to prepare, analyze, and visualize data effectively. It includes tools for data profiling, interactive exploration, and machine learning capabilities, allowing organizations to build and deploy data products efficiently. By providing a repository of best practices and a controlled environment, Dataiku aims to foster collaboration among data professionals and streamline the development of impactful models and innovative solutions. Prominent clients like Unilever and GE utilize Dataiku to enhance their data-driven decision-making processes and adapt to the growing volume of data they manage.
Databricks
Series D in 2017
Databricks Inc. is a technology company that provides a unified data analytics cloud platform designed to facilitate data engineering and collaborative data science. The company offers a comprehensive suite of tools, including a just-in-time data platform that simplifies data integration, real-time experimentation, and deployment of production applications for developers and data scientists. Key products include Databricks Delta, which combines the capabilities of data warehouses with low-latency streaming, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, manufacturing, and telecommunications, and has established strategic partnerships with various organizations to enhance its offerings. Founded in 2013, Databricks is headquartered in San Francisco, California, with additional offices in London, Amsterdam, and Bengaluru.
Primary Data
Series B in 2017
Primary Data, founded in 2013 and based in Sandy, Utah, specializes in intelligence and automation software for enterprise data management, facilitating seamless integration between on-premises IT infrastructure and cloud environments. The company's flagship platform, DataSphere, utilizes metadata management and machine learning to optimize data movement within a global namespace. It enables organizations managing large data volumes to efficiently handle billions of files, automate data migration processes, and improve cloud integration while enhancing network-attached storage (NAS) performance. By ensuring that the right data is accessible to the right applications at the right time, Primary Data helps enterprises maximize the value of their infrastructure investments.
Entelo
Series C in 2017
Entelo is a recruitment platform that leverages data science and machine learning to assist companies in identifying and recruiting technical talent. Its SaaS-based solution enables talent acquisition teams to automatically rank and screen applicants using directed scoring technologies, thereby enhancing key metrics such as quality of hire, time to hire, and cost per hire. With over 600 customers across various industries, Entelo provides actionable insights and increases candidate engagement, making it a trusted partner for organizations aiming to improve their recruitment processes. Notable clients include prominent companies like Capital One, Cisco, and Netflix, which utilize Entelo's capabilities to build effective teams.
Tealium
Series E in 2016
Tealium, Inc., established in 2008 and headquartered in San Diego, California, specializes in enterprise tag management solutions. The company offers a suite of products, including Tealium iQ, a tag management system enabling businesses to control and deploy third-party vendor tags across multiple digital touchpoints. Tealium's solutions also encompass Tealium DataCloud, a digital data platform, and AudienceStream, a real-time audience discovery platform. Additionally, Tealium provides Tealium DataAccess for unified omnichannel insights and Tealium Predict, a built-in machine learning technology. Serving over 1,000 global brands across various industries, Tealium's tools help businesses integrate and manage customer data from web, mobile, offline, and IoT devices, enhancing customer engagement and marketing effectiveness.
Entelo
Series B in 2016
Entelo is a recruitment platform that leverages data science and machine learning to assist companies in identifying and recruiting technical talent. Its SaaS-based solution enables talent acquisition teams to automatically rank and screen applicants using directed scoring technologies, thereby enhancing key metrics such as quality of hire, time to hire, and cost per hire. With over 600 customers across various industries, Entelo provides actionable insights and increases candidate engagement, making it a trusted partner for organizations aiming to improve their recruitment processes. Notable clients include prominent companies like Capital One, Cisco, and Netflix, which utilize Entelo's capabilities to build effective teams.
BigPanda
Series B in 2016
BigPanda, Inc. is a software development company that specializes in a data science platform designed to centralize and correlate IT alerts for organizations. Founded in 2011 and headquartered in Mountain View, California, with an additional office in Tel Aviv, Israel, BigPanda's platform helps IT operations, network operations centers, and DevOps teams detect, investigate, and resolve IT incidents effectively. By leveraging advanced machine learning algorithms, the platform transforms numerous daily IT alerts from various fragmented systems into actionable insights, enabling users to automate incident management and improve overall service performance. BigPanda serves a diverse range of industries, including retail, technology, and media, with notable clients such as Intel, TiVO, and Workday, assisting them in reducing operational costs and enhancing their digital transformation efforts.
Machinify
Seed Round in 2016
Machinify, Inc. is a company that operates a data-to-cash platform aimed at optimizing enterprise operations through artificial intelligence. Founded in 2016 and based in Palo Alto, California, Machinify leverages AI technology to help businesses effectively process their data and uncover hidden profits through automated decision-making. Its offerings include AI Cloud, which manages semi-structured and unstructured real-time data; AI Studio, which facilitates the automated building and testing of AI models through a user-friendly interface; and AI Runtime, which generates the necessary infrastructure for real-time or batch predictions. By automating data collection, transformation, and product deployment, Machinify enables domain experts to transform raw data into smart, automated decisions, ultimately reducing the time required to develop and deploy AI-driven solutions across various sectors, including healthcare.
Reflektion
Series B in 2016
Reflektion, Inc. is a technology company that specializes in developing an artificial intelligence-driven customer engagement platform aimed at enhancing e-commerce experiences. Founded in 2012 and headquartered in San Mateo, California, Reflektion's platform utilizes AI to analyze individual shopper behaviors, preferences, and intent, allowing businesses to deliver personalized content and product recommendations in real-time across various digital channels. The company offers solutions such as personalized site search, predictive product recommendations, and tailored email marketing. By integrating these features, Reflektion helps retailers optimize customer engagement and create relevant shopping experiences. The company also provides analytic tools, including a personalization dashboard and customer insights, enabling businesses to track performance and improve their marketing strategies. Reflektion has established strategic alliances and partnerships with other technology firms to enhance its offerings.
BigPanda
Series B in 2015
BigPanda, Inc. is a software development company that specializes in a data science platform designed to centralize and correlate IT alerts for organizations. Founded in 2011 and headquartered in Mountain View, California, with an additional office in Tel Aviv, Israel, BigPanda's platform helps IT operations, network operations centers, and DevOps teams detect, investigate, and resolve IT incidents effectively. By leveraging advanced machine learning algorithms, the platform transforms numerous daily IT alerts from various fragmented systems into actionable insights, enabling users to automate incident management and improve overall service performance. BigPanda serves a diverse range of industries, including retail, technology, and media, with notable clients such as Intel, TiVO, and Workday, assisting them in reducing operational costs and enhancing their digital transformation efforts.
6Sense
Series B in 2015
6sense is a developer of a predictive intelligence platform that enhances revenue growth for organizations. The company utilizes artificial intelligence, big data, and machine learning to provide comprehensive visibility across the customer journey, from brand awareness to revenue generation. Its platform captures anonymous buying signals and buyer intent data, allowing sales, marketing, and customer success teams to target the right accounts effectively. By recommending optimal channels and messages, 6sense removes guesswork and inefficiencies from the sales process, leading to improved pipeline quality, accelerated sales velocity, and higher conversion rates. Through its innovative approach, 6sense aims to empower revenue teams to grow revenue predictably and efficiently.
Tealium
Series D in 2015
Tealium, Inc., established in 2008 and headquartered in San Diego, California, specializes in enterprise tag management solutions. The company offers a suite of products, including Tealium iQ, a tag management system enabling businesses to control and deploy third-party vendor tags across multiple digital touchpoints. Tealium's solutions also encompass Tealium DataCloud, a digital data platform, and AudienceStream, a real-time audience discovery platform. Additionally, Tealium provides Tealium DataAccess for unified omnichannel insights and Tealium Predict, a built-in machine learning technology. Serving over 1,000 global brands across various industries, Tealium's tools help businesses integrate and manage customer data from web, mobile, offline, and IoT devices, enhancing customer engagement and marketing effectiveness.
Koru
Series A in 2015
Koru is a developer of a predictive recruitment processing platform that aims to enhance the talent recruitment process. The platform utilizes predictive hiring software to assess applicants based on key indicators of early career success, moving beyond traditional metrics such as GPA and college reputation. Koru has identified specific skills that are most predictive of workplace performance, known collectively as the Koru7, which includes Grit, Rigor, Impact, Teamwork, Curiosity, Ownership, and Polish. By focusing on these attributes, Koru enables recruiters to efficiently screen and select candidates, thereby improving the performance and productivity of early-career hires. The platform also supports efforts to increase workforce diversity and reduce the costs associated with poor hiring decisions. Customers using Koru have reported significant improvements, with 30-60% increases in high-performing hires and substantial annual returns on investment.
6Sense
Series A in 2014
6sense is a developer of a predictive intelligence platform that enhances revenue growth for organizations. The company utilizes artificial intelligence, big data, and machine learning to provide comprehensive visibility across the customer journey, from brand awareness to revenue generation. Its platform captures anonymous buying signals and buyer intent data, allowing sales, marketing, and customer success teams to target the right accounts effectively. By recommending optimal channels and messages, 6sense removes guesswork and inefficiencies from the sales process, leading to improved pipeline quality, accelerated sales velocity, and higher conversion rates. Through its innovative approach, 6sense aims to empower revenue teams to grow revenue predictably and efficiently.
Primary Data
Series B in 2014
Primary Data, founded in 2013 and based in Sandy, Utah, specializes in intelligence and automation software for enterprise data management, facilitating seamless integration between on-premises IT infrastructure and cloud environments. The company's flagship platform, DataSphere, utilizes metadata management and machine learning to optimize data movement within a global namespace. It enables organizations managing large data volumes to efficiently handle billions of files, automate data migration processes, and improve cloud integration while enhancing network-attached storage (NAS) performance. By ensuring that the right data is accessible to the right applications at the right time, Primary Data helps enterprises maximize the value of their infrastructure investments.
Koru
Seed Round in 2013
Koru is a developer of a predictive recruitment processing platform that aims to enhance the talent recruitment process. The platform utilizes predictive hiring software to assess applicants based on key indicators of early career success, moving beyond traditional metrics such as GPA and college reputation. Koru has identified specific skills that are most predictive of workplace performance, known collectively as the Koru7, which includes Grit, Rigor, Impact, Teamwork, Curiosity, Ownership, and Polish. By focusing on these attributes, Koru enables recruiters to efficiently screen and select candidates, thereby improving the performance and productivity of early-career hires. The platform also supports efforts to increase workforce diversity and reduce the costs associated with poor hiring decisions. Customers using Koru have reported significant improvements, with 30-60% increases in high-performing hires and substantial annual returns on investment.
Primary Data
Series B in 2013
Primary Data, founded in 2013 and based in Sandy, Utah, specializes in intelligence and automation software for enterprise data management, facilitating seamless integration between on-premises IT infrastructure and cloud environments. The company's flagship platform, DataSphere, utilizes metadata management and machine learning to optimize data movement within a global namespace. It enables organizations managing large data volumes to efficiently handle billions of files, automate data migration processes, and improve cloud integration while enhancing network-attached storage (NAS) performance. By ensuring that the right data is accessible to the right applications at the right time, Primary Data helps enterprises maximize the value of their infrastructure investments.
Pursway
Series B in 2013
Pursway is a provider of marketing management services that enhances customer acquisition, cross-sell, and retention by leveraging the relationships among customers and prospects. Utilizing advanced algorithms and a proprietary database, Pursway constructs social graphs from numerous open web sources, which reveal genuine connections between individuals. This insight empowers marketers to understand and engage opinion leaders who influence the purchasing decisions of others. Through its innovative Pursway Influence Value Order (PIVO) technology, the company has helped clients achieve significant improvements in return on investment for their marketing programs, reporting increases of 2 to 5 times. By unlocking the potential of existing customer data, Pursway equips businesses with the tools necessary to effectively reach and motivate their target audiences.
Entelo
Series A in 2013
Entelo is a recruitment platform that leverages data science and machine learning to assist companies in identifying and recruiting technical talent. Its SaaS-based solution enables talent acquisition teams to automatically rank and screen applicants using directed scoring technologies, thereby enhancing key metrics such as quality of hire, time to hire, and cost per hire. With over 600 customers across various industries, Entelo provides actionable insights and increases candidate engagement, making it a trusted partner for organizations aiming to improve their recruitment processes. Notable clients include prominent companies like Capital One, Cisco, and Netflix, which utilize Entelo's capabilities to build effective teams.
Tealium
Series C in 2013
Tealium, Inc., established in 2008 and headquartered in San Diego, California, specializes in enterprise tag management solutions. The company offers a suite of products, including Tealium iQ, a tag management system enabling businesses to control and deploy third-party vendor tags across multiple digital touchpoints. Tealium's solutions also encompass Tealium DataCloud, a digital data platform, and AudienceStream, a real-time audience discovery platform. Additionally, Tealium provides Tealium DataAccess for unified omnichannel insights and Tealium Predict, a built-in machine learning technology. Serving over 1,000 global brands across various industries, Tealium's tools help businesses integrate and manage customer data from web, mobile, offline, and IoT devices, enhancing customer engagement and marketing effectiveness.
Entelo
Venture Round in 2012
Entelo is a recruitment platform that leverages data science and machine learning to assist companies in identifying and recruiting technical talent. Its SaaS-based solution enables talent acquisition teams to automatically rank and screen applicants using directed scoring technologies, thereby enhancing key metrics such as quality of hire, time to hire, and cost per hire. With over 600 customers across various industries, Entelo provides actionable insights and increases candidate engagement, making it a trusted partner for organizations aiming to improve their recruitment processes. Notable clients include prominent companies like Capital One, Cisco, and Netflix, which utilize Entelo's capabilities to build effective teams.
Tealium
Series B in 2012
Tealium, Inc., established in 2008 and headquartered in San Diego, California, specializes in enterprise tag management solutions. The company offers a suite of products, including Tealium iQ, a tag management system enabling businesses to control and deploy third-party vendor tags across multiple digital touchpoints. Tealium's solutions also encompass Tealium DataCloud, a digital data platform, and AudienceStream, a real-time audience discovery platform. Additionally, Tealium provides Tealium DataAccess for unified omnichannel insights and Tealium Predict, a built-in machine learning technology. Serving over 1,000 global brands across various industries, Tealium's tools help businesses integrate and manage customer data from web, mobile, offline, and IoT devices, enhancing customer engagement and marketing effectiveness.
Entelo
Seed Round in 2012
Entelo is a recruitment platform that leverages data science and machine learning to assist companies in identifying and recruiting technical talent. Its SaaS-based solution enables talent acquisition teams to automatically rank and screen applicants using directed scoring technologies, thereby enhancing key metrics such as quality of hire, time to hire, and cost per hire. With over 600 customers across various industries, Entelo provides actionable insights and increases candidate engagement, making it a trusted partner for organizations aiming to improve their recruitment processes. Notable clients include prominent companies like Capital One, Cisco, and Netflix, which utilize Entelo's capabilities to build effective teams.
Pursway
Series B in 2011
Pursway is a provider of marketing management services that enhances customer acquisition, cross-sell, and retention by leveraging the relationships among customers and prospects. Utilizing advanced algorithms and a proprietary database, Pursway constructs social graphs from numerous open web sources, which reveal genuine connections between individuals. This insight empowers marketers to understand and engage opinion leaders who influence the purchasing decisions of others. Through its innovative Pursway Influence Value Order (PIVO) technology, the company has helped clients achieve significant improvements in return on investment for their marketing programs, reporting increases of 2 to 5 times. By unlocking the potential of existing customer data, Pursway equips businesses with the tools necessary to effectively reach and motivate their target audiences.
ADKU
Seed Round in 2010
Adku is a San Francisco-based company focused on providing big data solutions for e-commerce. Founded by former Google employees, the company aims to enhance the online shopping experience by offering tailored product suggestions. Acquired by Groupon in 2012, Adku operates as a stealth startup and was previously part of the AngelPad accelerator program. Its innovative technology seeks to optimize consumer engagement in the digital marketplace.
Pursway
Series A in 2010
Pursway is a provider of marketing management services that enhances customer acquisition, cross-sell, and retention by leveraging the relationships among customers and prospects. Utilizing advanced algorithms and a proprietary database, Pursway constructs social graphs from numerous open web sources, which reveal genuine connections between individuals. This insight empowers marketers to understand and engage opinion leaders who influence the purchasing decisions of others. Through its innovative Pursway Influence Value Order (PIVO) technology, the company has helped clients achieve significant improvements in return on investment for their marketing programs, reporting increases of 2 to 5 times. By unlocking the potential of existing customer data, Pursway equips businesses with the tools necessary to effectively reach and motivate their target audiences.
Lattice Engines
Series A in 2008
Lattice Engines, Inc. is a software company that specializes in providing predictive applications for marketing and sales organizations. Founded in 2006 and headquartered in San Mateo, California, the company offers a range of solutions including Lattice Atlas, which uses artificial intelligence to connect various data sources and build audiences, and Lattice for Salesforce, which delivers analytics and insights for sales teams. Other notable products include Lattice for Marketo, which enhances marketing programs with predictive insights, and predictive lead scoring tools designed to identify high-potential leads. The company also offers applications for executing personalized marketing campaigns and strategies for customer retention and expansion. Lattice Engines emphasizes the use of machine learning to drive efficient marketing and sales performance by integrating internal and external data. In addition to its software solutions, the company provides professional curriculum services and maintains a strategic partnership with Engagio Inc. Lattice Engines operates as a subsidiary of The Dun & Bradstreet Corporation.
Vayar Vision
Series A in 2008
Vayar Vision Ltd. specializes in developing a visual search engine technology that transforms images into searchable content, enhancing the capabilities of textual search engines. Founded in 2007 and based in Haifa, Israel, the company offers solutions that allow users to discover related images within extensive databases or across the web. Its technology supports various applications, including tourism, security, and healthcare, by providing detailed information through image recognition. Vayar Vision also facilitates copyright protection for image bank owners and offers decision support systems that incorporate visual tags compatible with platforms like Flickr and Picasa. By enabling the seamless integration of visual data with textual information, Vayar Vision aims to unlock new connections and insights from images, thus broadening the scope of image-based searches.
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