Bain Capital Ventures

Bain Capital Ventures is a venture capital firm that specializes in investing across all stages of a company’s growth, from seed funding to growth equity. Founded in 1984 and based in Boston, Massachusetts, with additional offices in New York, San Francisco, and Palo Alto, the firm focuses on high-growth sectors such as fintech, enterprise software, and data-driven industries. It has a notable history of helping launch and commercialize over 200 companies, including recognizable names like LinkedIn and DocuSign. Bain Capital Ventures manages approximately $3 billion in assets, with investments typically ranging from $1 million to $100 million, and has a strong preference for technology-enabled businesses that disrupt traditional markets. The firm actively seeks opportunities in diverse areas including healthcare, e-commerce, and application software, positioning itself as a significant player in the venture capital landscape.

Ajay Agarwal

Partner

Steve Anastos

Principal

Allison Braley

Partner

Richie Chaikof

Associate

Zeeza Cole

Principal

Pascal Croak

Investor

Leslie Crowe

Partner

Scott Friend

Partner

Kristie Han

Principal

Aaref Hilaly

Partner

Sarah Hinkfuss

Partner

Merritt Hummer

Partner

Christina Kyriazi

Partner

Greg Mervine

Associate

Abby Meyers

Principal

Saanya Ojha

Partner

Enrique Salem

Partner

Slater Stich Ph.D

Partner

Kevin Zhang

Partner

Paul Zurlo

Partner and COO

Sarah Smith

Partner

Michael Krupka

Partner

Alysaa Co

Principal

Past deals in Data Mining

Hightouch

Series C in 2025
Hightouch is a customer data platform that specializes in synchronizing data between various marketing and operational tools. It enables businesses to connect their existing data warehouses with applications such as customer relationship management systems, email marketing platforms, and advertising networks. By facilitating direct data access without duplication, Hightouch helps organizations maintain data integrity and security while leveraging their data for personalized marketing campaigns. The platform features a user-friendly interface that simplifies data integration and management, allowing businesses to create customer segments, explore data, and automate workflows. This functionality supports companies in optimizing their marketing strategies and improving customer engagement.

Aleph

Series A in 2023
Aleph helps top finance teams work with their data in real time. Businesses can automate financial models and streamline budgeting and forecasting with the fastest-to-implement FP&A platform. Aleph eliminates the need to export data from multiple sources by syncing spreadsheet models with data from 150+ integrations, and allows teams to interact with their data in no-code dashboards. From annual budgeting to ad hoc reporting, scale your financial processes faster with better data without expanding your team. See why over 90% of people who start a trial with Aleph become customers!

Cleanlab

Series A in 2023
Cleanlab develops a data-centric artificial intelligence platform aimed at enhancing the quality of datasets for businesses. The platform manages the entire data quality and data-centric AI pipeline within a single framework, facilitating analytics and machine learning tasks. It assists companies in diagnosing and rectifying data issues, thereby improving the integrity of their datasets. Cleanlab’s services include support for data-centric machine learning operations and clean labels, along with enterprise software-as-a-service products tailored for data scientists and engineers. This comprehensive approach enables clients to enhance their data quality and produce more reliable machine learning models.

Cleanlab

Seed Round in 2023
Cleanlab develops a data-centric artificial intelligence platform aimed at enhancing the quality of datasets for businesses. The platform manages the entire data quality and data-centric AI pipeline within a single framework, facilitating analytics and machine learning tasks. It assists companies in diagnosing and rectifying data issues, thereby improving the integrity of their datasets. Cleanlab’s services include support for data-centric machine learning operations and clean labels, along with enterprise software-as-a-service products tailored for data scientists and engineers. This comprehensive approach enables clients to enhance their data quality and produce more reliable machine learning models.

Hightouch

Series B in 2023
Hightouch is a customer data platform that specializes in synchronizing data between various marketing and operational tools. It enables businesses to connect their existing data warehouses with applications such as customer relationship management systems, email marketing platforms, and advertising networks. By facilitating direct data access without duplication, Hightouch helps organizations maintain data integrity and security while leveraging their data for personalized marketing campaigns. The platform features a user-friendly interface that simplifies data integration and management, allowing businesses to create customer segments, explore data, and automate workflows. This functionality supports companies in optimizing their marketing strategies and improving customer engagement.

Rubber Ducky Labs

Seed Round in 2023
Rubber Ducky Labs is a developer of an operational analytics platform focused on enhancing machine learning-powered product recommendations. The company's platform assists in debugging, analyzing, and refining recommender systems, thereby enabling machine learning teams to accelerate their projects. By improving the efficiency and effectiveness of these systems, Rubber Ducky Labs aims to have a significant impact on its clients' profitability.

Granica

Series A in 2023
Granica provides a data readiness platform designed to support enterprises in effectively leveraging artificial intelligence. The platform enables data engineers and leaders to prepare AI-ready data that enhances the efficiency and safety of AI, machine learning, and analytics initiatives. By optimizing data sets for training and inference, Granica reduces storage costs by up to 60% and improves query performance by up to 56%. The company focuses on ensuring data privacy and mitigating the risks of sensitive data leakage while enhancing the accuracy and fairness of AI models. Granica curates and refines training data sets, selecting impactful samples to boost model performance and instill greater trust in AI applications. Targeting industries such as financial services, retail, geo-spatial intelligence, and autonomous vehicles, Granica aims to make AI implementations more effective and beneficial for its clients.

Nightfall

Series B in 2022
Nightfall is a cloud data protection platform that utilizes machine learning to identify and manage business-critical data across various applications. It integrates seamlessly with all SaaS, APIs, and data infrastructures, automatically classifying sensitive information to ensure comprehensive data protection. The platform addresses data exposure and hygiene issues without impacting end users by setting up automated workflows for quarantines, deletions, and alerts. Additionally, Nightfall offers a Developer Platform that provides flexible APIs and SDKs, allowing developers to incorporate its data classification and protection capabilities into their applications. This approach not only enhances security but also saves time for users, helping organizations maintain the safety of their business data.

Tecton

Series C in 2022
Tecton offers an enterprise-ready feature store that addresses the unique data requirements of machine learning. By providing a robust data platform, Tecton enables machine learning teams to efficiently build, serve, and scale features for production use. The platform allows users to construct features from various data sources, including batch, streaming, and real-time data, facilitating the sharing, reuse, and deployment of models. This capability empowers data scientists and organizations to automate decisions at high speed, enhance customer experiences, and transform business processes. Tecton's focus on optimizing the data layer for machine learning aims to help companies develop superior models more rapidly, driving significant business outcomes.

Hightouch

Series B in 2021
Hightouch is a customer data platform that specializes in synchronizing data between various marketing and operational tools. It enables businesses to connect their existing data warehouses with applications such as customer relationship management systems, email marketing platforms, and advertising networks. By facilitating direct data access without duplication, Hightouch helps organizations maintain data integrity and security while leveraging their data for personalized marketing campaigns. The platform features a user-friendly interface that simplifies data integration and management, allowing businesses to create customer segments, explore data, and automate workflows. This functionality supports companies in optimizing their marketing strategies and improving customer engagement.

LeapYear

Venture Round in 2021
LeapYear specializes in developing technology that allows enterprises to harness the value of sensitive data while ensuring its security. The company's platform employs differential privacy, a proven mathematical standard, to facilitate the use of data for machine learning without risking exposure or exploitation. By integrating advanced techniques in machine learning and cryptography, LeapYear enables organizations to analyze and monetize previously restricted data sources. It has established partnerships with major companies across various sectors, including financial services, healthcare, technology, and insurance, to support the secure combination and analysis of siloed information.

Parative Customer Intelligence Platform

Seed Round in 2021
Parative makes it easy for companies to use their customer data to drive new revenue, eliminate avoidable churn, and capitalize on expansion opps. Parative's Customer Intelligence Platform is an all-in-one system for leveraging customer data to fuel business growth... all without the need of a technical team, a CDP, or a separate dashboard. Parative provides solutions for every step of the data journey: Making Data Usable + Audit data to identify record and property issues + Clean and enrich to address dupes, gaps, and errors + Unify data across of your existing tools Using Data to Drive Growth + AI data analysis for defining ICP fit, predicting renewal, and identifying expansion + NRR forecasting for churn, downgrade, renewal, expansion + Real-time alerts, automations, & playbooks to act on insights at scale

Hightouch

Series A in 2021
Hightouch is a customer data platform that specializes in synchronizing data between various marketing and operational tools. It enables businesses to connect their existing data warehouses with applications such as customer relationship management systems, email marketing platforms, and advertising networks. By facilitating direct data access without duplication, Hightouch helps organizations maintain data integrity and security while leveraging their data for personalized marketing campaigns. The platform features a user-friendly interface that simplifies data integration and management, allowing businesses to create customer segments, explore data, and automate workflows. This functionality supports companies in optimizing their marketing strategies and improving customer engagement.

Corvus Insurance

Series C in 2021
At Corvus, we build Smart Commercial Insurance Products: policies built on data-driven underwriting. The company delivers insights to broker partners, helping to make them smarter about the complex risks their clients face. And Corvus informs the insurance buyer, helping them to be smarter about practices to mitigate risk and prevent loss.

Nebulous

Seed Round in 2020
Nebulous, Inc. is a Boston-based company founded in 2014 that specializes in developing blockchain hardware and software infrastructure for the decentralized internet. The company is known for its flagship product, Sia, a decentralized cloud storage platform that utilizes blockchain technology to create a marketplace for data storage. Additionally, Nebulous offers Skynet, a decentralized content delivery network (CDN) and file-sharing platform aimed at developers, along with SiaStream, which provides affordable storage solutions for media files to enable fast streaming. As a core contributor and maintainer of the open-source Skynet project, Nebulous plays a significant role in advancing the decentralized web ecosystem.

Astronomer

Series A in 2020
Astronomer, Inc. is a company based in Cincinnati, Ohio, that specializes in developing a managed Apache Airflow platform for data engineering. Founded in 2014, Astronomer offers Astro, a modern data orchestration platform that helps data teams enhance the availability of trusted data. This platform empowers users to build, run, and monitor data pipelines-as-code, making it easier for data engineers, scientists, and analysts to manage their workflows. By providing a suite of products and services that facilitate the deployment, management, and scaling of data pipelines, Astronomer aims to streamline the process of data collection and preparation for business analytics. The company's solutions are designed to support isolated resource allocation, user access, and account management, positioning it as a key player in the data orchestration landscape.

Hazelcast

Series D in 2020
Hazelcast, Inc. specializes in developing an open-source data distribution platform designed for Java applications. The company offers a range of solutions, including an in-memory data grid that facilitates the sharing and partitioning of application data across clusters. Its stream processing engine, Hazelcast Jet, supports continuous intelligence by ingesting and processing data in real time. Additionally, the Hazelcast Management Center provides a web-based interface for monitoring and managing clusters, allowing users to track system performance and update configurations. Hazelcast's unified platform integrates fast data storage with stream processing, enabling businesses to streamline their real-time architectures for applications in artificial intelligence and machine learning. Founded in 2008 and headquartered in Palo Alto, California, with a research office in Istanbul, Turkey, Hazelcast serves a diverse clientele, including notable organizations across various industries.

Verana Health

Series D in 2020
Verana Health, Inc. is a digital health company based in San Francisco, California, that specializes in transforming healthcare data into actionable insights. Founded in 2008 and formerly known as Digisight Technologies, the company connects healthcare providers with patients through innovative solutions. Its flagship product, SightBook, is a mobile application that enables users to test their vision and share results with their physicians in real-time, facilitating timely appointments and treatments. Verana Health manages data from over 20,000 healthcare providers and 70 electronic health record systems, leveraging its AI-enhanced platform, VeraQ™, to create a robust healthcare data ecosystem. By utilizing advanced analytics on curated datasets, Verana Health supports life sciences partners in improving clinical research and enhancing patient care outcomes.

Nightfall

Series A in 2019
Nightfall is a cloud data protection platform that utilizes machine learning to identify and manage business-critical data across various applications. It integrates seamlessly with all SaaS, APIs, and data infrastructures, automatically classifying sensitive information to ensure comprehensive data protection. The platform addresses data exposure and hygiene issues without impacting end users by setting up automated workflows for quarantines, deletions, and alerts. Additionally, Nightfall offers a Developer Platform that provides flexible APIs and SDKs, allowing developers to incorporate its data classification and protection capabilities into their applications. This approach not only enhances security but also saves time for users, helping organizations maintain the safety of their business data.

Astronomer

Seed Round in 2019
Astronomer, Inc. is a company based in Cincinnati, Ohio, that specializes in developing a managed Apache Airflow platform for data engineering. Founded in 2014, Astronomer offers Astro, a modern data orchestration platform that helps data teams enhance the availability of trusted data. This platform empowers users to build, run, and monitor data pipelines-as-code, making it easier for data engineers, scientists, and analysts to manage their workflows. By providing a suite of products and services that facilitate the deployment, management, and scaling of data pipelines, Astronomer aims to streamline the process of data collection and preparation for business analytics. The company's solutions are designed to support isolated resource allocation, user access, and account management, positioning it as a key player in the data orchestration landscape.

Parative Customer Intelligence Platform

Seed Round in 2019
Parative makes it easy for companies to use their customer data to drive new revenue, eliminate avoidable churn, and capitalize on expansion opps. Parative's Customer Intelligence Platform is an all-in-one system for leveraging customer data to fuel business growth... all without the need of a technical team, a CDP, or a separate dashboard. Parative provides solutions for every step of the data journey: Making Data Usable + Audit data to identify record and property issues + Clean and enrich to address dupes, gaps, and errors + Unify data across of your existing tools Using Data to Drive Growth + AI data analysis for defining ICP fit, predicting renewal, and identifying expansion + NRR forecasting for churn, downgrade, renewal, expansion + Real-time alerts, automations, & playbooks to act on insights at scale

Nebulous

Seed Round in 2019
Nebulous, Inc. is a Boston-based company founded in 2014 that specializes in developing blockchain hardware and software infrastructure for the decentralized internet. The company is known for its flagship product, Sia, a decentralized cloud storage platform that utilizes blockchain technology to create a marketplace for data storage. Additionally, Nebulous offers Skynet, a decentralized content delivery network (CDN) and file-sharing platform aimed at developers, along with SiaStream, which provides affordable storage solutions for media files to enable fast streaming. As a core contributor and maintainer of the open-source Skynet project, Nebulous plays a significant role in advancing the decentralized web ecosystem.

Hazelcast

Series D in 2019
Hazelcast, Inc. specializes in developing an open-source data distribution platform designed for Java applications. The company offers a range of solutions, including an in-memory data grid that facilitates the sharing and partitioning of application data across clusters. Its stream processing engine, Hazelcast Jet, supports continuous intelligence by ingesting and processing data in real time. Additionally, the Hazelcast Management Center provides a web-based interface for monitoring and managing clusters, allowing users to track system performance and update configurations. Hazelcast's unified platform integrates fast data storage with stream processing, enabling businesses to streamline their real-time architectures for applications in artificial intelligence and machine learning. Founded in 2008 and headquartered in Palo Alto, California, with a research office in Istanbul, Turkey, Hazelcast serves a diverse clientele, including notable organizations across various industries.

LeapYear

Series B in 2019
LeapYear specializes in developing technology that allows enterprises to harness the value of sensitive data while ensuring its security. The company's platform employs differential privacy, a proven mathematical standard, to facilitate the use of data for machine learning without risking exposure or exploitation. By integrating advanced techniques in machine learning and cryptography, LeapYear enables organizations to analyze and monetize previously restricted data sources. It has established partnerships with major companies across various sectors, including financial services, healthcare, technology, and insurance, to support the secure combination and analysis of siloed information.

LunaDNA

Venture Round in 2019
Created by co-founders of the $40B DNA sequencing leader Illumina, Luna DNA incentivizes the sharing of health and DNA data for research. LunaDNA rewards people for sharing the data they already own while contributing to medical research and discovery that saves lives. DNA sequencing data has become siloed. As personal DNA sequencing has risen in popularity, the data has become siloed as each company looks to maximize their individual profit from this data. There is currently little incentive for consumers to contribute their DNA and health information to a third party database. There are also multiple privacy, security, and trust issues that limit broad participation. The solution is LunaDNA. LunaDNA is a community owned database that rewards individuals shares in the database and rewards for contributing their health and DNA data. Shares entitle members to a share in the profits from medical research and discoveries. The proceeds flow back to the community like dividends as researchers pay to access the data for discovery.

CoinAlpha

Seed Round in 2018
CoinAlpha, Inc. is a fintech software engineering company based in Mountain View, California, established in 2017. The firm specializes in trading and market-making software for digital assets, leveraging expertise in data engineering, machine learning, and blockchain technology. CoinAlpha is known for developing Hummingbot, an open-source software platform that allows users to create market-making and arbitrage bots, as well as Hummingbot Miner, a liquidity mining platform that enables users to earn rewards by executing market-making strategies on selected trading pairs. The company pioneered the concept of liquidity mining in a 2019 whitepaper. Initially started as a quantitative hedge fund, CoinAlpha's founders possess extensive experience in investment banking and trading, having worked at prominent financial institutions, along with engineering roles in notable Silicon Valley companies. The company has successfully raised $14.8 million in funding from various venture capital firms and angel investors to support its innovative solutions in contract-based financial products.

SigFig

Series E in 2018
SigFig is a wealth management platform that aims to provide personalized investment advice to investors of all wealth levels. Founded in 2007 and headquartered in San Francisco, the company utilizes a blend of design, data science, and technology to empower users with the information and guidance necessary to achieve their financial goals. SigFig partners with major financial institutions to enhance investment management for both investors and advisors, ensuring a secure and compliant service. Its innovative approach, supported by product and growth labs, accelerates the adoption of its technology among partners, making high-quality investment advice more accessible and affordable. SigFig is backed by prominent financial institutions and top-tier venture capital firms, underscoring its commitment to improving the investment management process.

Reonomy

Series C in 2018
Reonomy leverages big data, partnerships, and machine learning to connect the fragmented world of commercial real estate. Reonomy products empower individuals, teams, and companies to unlock insights and discover new opportunities by providing unparalleled access to property intelligence.

Corvus Insurance

Seed Round in 2018
At Corvus, we build Smart Commercial Insurance Products: policies built on data-driven underwriting. The company delivers insights to broker partners, helping to make them smarter about the complex risks their clients face. And Corvus informs the insurance buyer, helping them to be smarter about practices to mitigate risk and prevent loss.

LeapYear

Series A in 2016
LeapYear specializes in developing technology that allows enterprises to harness the value of sensitive data while ensuring its security. The company's platform employs differential privacy, a proven mathematical standard, to facilitate the use of data for machine learning without risking exposure or exploitation. By integrating advanced techniques in machine learning and cryptography, LeapYear enables organizations to analyze and monetize previously restricted data sources. It has established partnerships with major companies across various sectors, including financial services, healthcare, technology, and insurance, to support the secure combination and analysis of siloed information.

Trooly

Series A in 2016
Trooly, Inc. operates an online platform that enhances peer-to-peer social and business interactions through its Instant Trust™ services. Founded in 2013 and based in San Francisco, California, Trooly serves major financial institutions, peer-to-peer marketplaces, marketers, and employers by providing real-time verification and predictive assessments of trustworthiness. Utilizing advanced machine learning technology, Trooly analyzes digital footprints to deliver insights that exceed traditional background checks and risk management tools. This service aims to bridge the "trust gap" in modern commerce, offering instant evaluations of potential risks and rewards with minimal data input, typically costing under $1 per query and producing results in approximately 30 seconds. Trooly operates as a consumer reporting agency, adhering to privacy and data protection laws while ensuring transparency and respect for individual privacy. As of June 2018, Trooly is a subsidiary of Airbnb, Inc.

SigFig

Series D in 2016
SigFig is a wealth management platform that aims to provide personalized investment advice to investors of all wealth levels. Founded in 2007 and headquartered in San Francisco, the company utilizes a blend of design, data science, and technology to empower users with the information and guidance necessary to achieve their financial goals. SigFig partners with major financial institutions to enhance investment management for both investors and advisors, ensuring a secure and compliant service. Its innovative approach, supported by product and growth labs, accelerates the adoption of its technology among partners, making high-quality investment advice more accessible and affordable. SigFig is backed by prominent financial institutions and top-tier venture capital firms, underscoring its commitment to improving the investment management process.

Reonomy

Series B in 2015
Reonomy leverages big data, partnerships, and machine learning to connect the fragmented world of commercial real estate. Reonomy products empower individuals, teams, and companies to unlock insights and discover new opportunities by providing unparalleled access to property intelligence.

TidalScale

Series A in 2014
TidalScale has developed a scale-up compute and resource architecture. It specializes in the fields of analytics, cloud infrastructure, information technology, software and data mining. It was founded in 2013 and headquartered in Campbell, California.

Hazelcast

Series B in 2014
Hazelcast, Inc. specializes in developing an open-source data distribution platform designed for Java applications. The company offers a range of solutions, including an in-memory data grid that facilitates the sharing and partitioning of application data across clusters. Its stream processing engine, Hazelcast Jet, supports continuous intelligence by ingesting and processing data in real time. Additionally, the Hazelcast Management Center provides a web-based interface for monitoring and managing clusters, allowing users to track system performance and update configurations. Hazelcast's unified platform integrates fast data storage with stream processing, enabling businesses to streamline their real-time architectures for applications in artificial intelligence and machine learning. Founded in 2008 and headquartered in Palo Alto, California, with a research office in Istanbul, Turkey, Hazelcast serves a diverse clientele, including notable organizations across various industries.

SigFig

Series C in 2014
SigFig is a wealth management platform that aims to provide personalized investment advice to investors of all wealth levels. Founded in 2007 and headquartered in San Francisco, the company utilizes a blend of design, data science, and technology to empower users with the information and guidance necessary to achieve their financial goals. SigFig partners with major financial institutions to enhance investment management for both investors and advisors, ensuring a secure and compliant service. Its innovative approach, supported by product and growth labs, accelerates the adoption of its technology among partners, making high-quality investment advice more accessible and affordable. SigFig is backed by prominent financial institutions and top-tier venture capital firms, underscoring its commitment to improving the investment management process.

Driven

Series B in 2014
Driven, Inc. is the industry leader in Big Data application development and performance management solutions. Big Data is moving to the next phase of maturity and it’s all about the applications. The company’s flagship enterprise solution, Driven, was designed to accelerate the development and management of enterprise data applications. Driven is the industry’s leading application performance monitoring and management solution for Big Data applications. It provides the deep insights, performance monitoring, and remediation for big data applications. Supporting all the major big data processing frameworks Apache Hive, MapReduce, Cascading, Scalding and Apache Spark, Driven provides the visibility organizations need to manage the performance of all their enterprise big data applications. Driven, Inc. offers open source technology and commercial products and services for organizations in the business of data. Our users span a broad spectrum of industries including Social Media, Retail, Financial Services, Telecommunications, Bioinformatics, and Geospatial. Driven, Inc. is headquartered in San Francisco, CA. Privately held company with funding from Bain Capital Ventures, Rembrandt Venture Partners, and True Ventures.

Hazelcast

Series A in 2013
Hazelcast, Inc. specializes in developing an open-source data distribution platform designed for Java applications. The company offers a range of solutions, including an in-memory data grid that facilitates the sharing and partitioning of application data across clusters. Its stream processing engine, Hazelcast Jet, supports continuous intelligence by ingesting and processing data in real time. Additionally, the Hazelcast Management Center provides a web-based interface for monitoring and managing clusters, allowing users to track system performance and update configurations. Hazelcast's unified platform integrates fast data storage with stream processing, enabling businesses to streamline their real-time architectures for applications in artificial intelligence and machine learning. Founded in 2008 and headquartered in Palo Alto, California, with a research office in Istanbul, Turkey, Hazelcast serves a diverse clientele, including notable organizations across various industries.

TidalScale

Seed Round in 2013
TidalScale has developed a scale-up compute and resource architecture. It specializes in the fields of analytics, cloud infrastructure, information technology, software and data mining. It was founded in 2013 and headquartered in Campbell, California.

DataStax

Series D in 2013
DataStax, Inc. specializes in providing database software for cloud applications, catering to Fortune 100 companies globally. Its flagship product, DataStax Enterprise, is built on Apache Cassandra and designed for online applications requiring high performance and reliability. The company also offers various tools, including DataStax OpsCenter for database management, K8ssandra for deploying Cassandra on Kubernetes, and DataStax DevCenter for developing CQL queries. DataStax Astra is a database-as-a-service that significantly accelerates deployment times, while DataStax Constellation functions as a cloud data platform to streamline modern application development. Additionally, DataStax provides training, support, and consulting services to enterprises and government agencies. Founded in 2010 and headquartered in Santa Clara, California, DataStax has a global presence with offices in multiple countries, including the United Kingdom, Japan, France, Germany, Australia, and Ireland. The company has also ventured into tools for building generative AI applications, offering a vector database with real-time data processing capabilities.

SigFig

Series B in 2013
SigFig is a wealth management platform that aims to provide personalized investment advice to investors of all wealth levels. Founded in 2007 and headquartered in San Francisco, the company utilizes a blend of design, data science, and technology to empower users with the information and guidance necessary to achieve their financial goals. SigFig partners with major financial institutions to enhance investment management for both investors and advisors, ensuring a secure and compliant service. Its innovative approach, supported by product and growth labs, accelerates the adoption of its technology among partners, making high-quality investment advice more accessible and affordable. SigFig is backed by prominent financial institutions and top-tier venture capital firms, underscoring its commitment to improving the investment management process.

Novus

Venture Round in 2013
Novus collects data from dozens of administrators, prime brokers, custodians and accounting systems and enriches that data with market, fundamental and economic information to make it infinitely more powerful. If a manager is willing to permission you with position-level transparency or you have a managed account, you're covered with Novus.

TellApart

Series B in 2011
TellApart, Inc. operates a personalized predictive marketing platform that enables retailers to enhance customer experiences and drive sales through data-driven marketing strategies. The platform integrates customer data from both online and offline sources to create comprehensive profiles, allowing for personalized messaging across various digital channels, including display ads, social media, and email. TellApart's services include identity network solutions, predictive engines to assist customers in product discovery, and self-learning algorithms for optimizing marketing efforts. The company's technology supports initiatives such as cross-device retargeting and audience targeting, effectively delivering relevant advertisements to consumers in real-time. Established in 2009 and headquartered in San Francisco, California, TellApart has successfully generated significant revenue for prominent retail brands and operates as a subsidiary of Twitter, Inc. since 2015.

vAuto

Venture Round in 2007
vAuto, a brand of Cox Automotive since 2010, specializes in providing a comprehensive suite of inventory management solutions tailored for automotive dealers. The company leverages advanced retail and wholesale market data along with data science-driven insights to facilitate informed decision-making throughout the inventory lifecycle, from sourcing to selling. By offering end-to-end solutions, vAuto enables clients to enhance the efficiency and profitability of their operations. Additionally, vAuto's innovations, such as ProfitTime GPS, utilize artificial intelligence and machine learning to further support dealers in optimizing their performance. The company is dedicated to helping automotive dealers improve their business practices through insightful data and tailored support.

Amazon Robotics

Series B in 2005
Amazon Robotics specializes in the development of advanced automation solutions using artificial intelligence and machine learning. The company focuses on creating mobile material handling systems that enhance the storage, movement, and sorting of products within warehouses. Its innovative mobile fulfillment systems include ItemFetch, which assists in picking items; OrderFetch, designed for sorting orders to the dock door; and CaseFetch, which delivers pallets to workers for efficient case picking and replenishment. By integrating these technologies, Amazon Robotics aims to streamline product management and improve operational efficiency for its clients. The company also leverages its expertise in machine learning to support data scientists and developers in building and training their models.
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