Bain Capital
Bain Capital is a Boston-based multi-asset alternative investment firm that sources, funds, and manages investments across private equity, venture capital, credit, and public equity. Founded in 1984, it operates globally with specialized units focused on growth and buyout investments, life sciences, and impact-oriented opportunities. The firm backs companies across sectors including healthcare and life sciences, technology, software and data services, financial services, consumer, manufacturing, and industrials, spanning from early-stage ventures to growth equity and large-scale acquisitions. It emphasizes value creation through strategic support and partnerships, leveraging deep operating experience and a global network. Its life sciences arm targets pharmaceutical, biotechnology, medical device, and diagnostic companies; the Double Impact unit pursues market-rate returns alongside measurable social and environmental benefits; Bain Capital Ventures backs technology-enabled businesses from seed to growth across enterprise software, infrastructure, and services. The firm maintains offices in Boston and major markets worldwide, aiming to deliver competitive returns while supporting innovation and economic development.
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Jennifer Davis
Partner, Private Equity, Consumer and Retail Vertical and Member of the North American Private Equity Team
Liraz Evenor
Managing Director Private Equity and Director in the Consumer and Retail Vertical & Member of the Portfolio Group for North America Private Equity
Alison Holmes
Principal, Private Equity and Consumer, Retail and Dining Vertical & Member of the North American Private Equity Team
Andrew Kaplan
Partner, Private Equity and Healthcare Vertical and Member Of The North American Private Equity Team
Christopher Kastner
Managing Director, Portfolio Group and Member of the North American Private Equity team
Phillip Loughlin
Partner, Global Head of the Financial and Business Services Vertical and Member of the Consumer / Retail Vertical
James Mackey
Principal, Private Equity and Technology Vertical and Member of the North American Private Equity Team
Giacomo Massetti
Managing Director, Consumer and Industrial Verticals and Member of the European Private Equity team
Cara Nealon
Senior Vice President, Portfolio Group and Member of the North American Private Equity Team
Radhika Subramanian
Principal, Consumer, Retail and Financial services and a Member of the Asia Pacific Private Equity team
Past deals in Machine Learning
Krea
Series B in 2025
Krea offers a browser-based platform integrating various generative AI models for image and video creation, editing, and customization. Its tools include real-time image generation, video restyling, and 3D object creation, serving professionals from organizations like Pixar, LEGO, and Samsung.
Actively AI
Series A in 2025
Founded by Stanford AI researchers, Actively AI enhances outbound sales efficiency using AI. Its platform automates account research, identifies top prospects in real-time, and generates personalized messaging, enabling organizations to double their sales pipeline.
Straiker
Series A in 2025
Straiker is a technology company that specializes in AI-native security solutions. It develops AI risk assessment software to enhance security through one-time or continuous testing. The company's technology simulates attacks against AI applications and agents, conducting a suite of security checks to identify and mitigate critical AI risks, providing protection beyond prompt-level threats and enabling automated threat blocking.
EvenUp
Series D in 2024
EvenUp is a legal technology company that specializes in cloud-based and AI-driven solutions for managing personal injury cases. The company offers a platform that automates various aspects of legal practices, particularly in valuing personal injury claims. By leveraging its Claims Intelligence Platform, which is underpinned by extensive data records, EvenUp enhances the efficiency and effectiveness of legal case management. Its software employs machine learning and artificial intelligence to assess the worth of lawsuits, helping plaintiffs secure fair outcomes and avoid premature settlements or excessive debts. Additionally, the platform provides attorneys with valuable data to facilitate principled settlement negotiations.
Zenlytic
Series A in 2024
Zenlytic develops an intelligent analytics platform that empowers users to ask data questions in natural language, receiving tailored insights instantly. Its AI-powered data analyst, Zoë, integrates with collaboration tools and supports dynamic dashboards, enabling businesses to make informed decisions.
Contextual AI
Series A in 2024
Contextual AI offers a pioneering approach to generative AI for the workplace.
Unstructured
Series B in 2024
Unstructured is a developer of an open-source data transformation platform that simplifies the process of converting raw data, such as PDFs and Microsoft Office documents, into formats compatible with language models. The platform supports over 25 file types, including PDF, DOC, and PPTX, and offers connectors to various systems like SharePoint, S3, and Databricks. By facilitating effortless data extraction and integration into AI workflows, Unstructured enhances the accessibility of human-generated information, ensuring that it is readily available for generative AI systems. Its modular architecture allows users to incorporate any third-party model, making it a versatile solution for preprocessing natural language data for machine learning applications.
Branching Minds
Private Equity Round in 2024
Branching Minds is a cloud-based educational platform that enables schools to identify the root causes of students' learning challenges and tailor supports accordingly. The software gathers data on students’ observable behaviors through a questionnaire process to identify cognitive strengths and issues, and it algorithmically matches those findings with research-backed learning supports. It enables teachers, specialists, and psychologists to track observations, organize records, and generate reports, supporting instruction across response to intervention and multi-tier systems of support. The platform unites learning science and artificial intelligence to help educators and parents quickly understand cognitive and behavioral profiles and implement personalized interventions. Branching Minds was established in 2013 and is based in New York.
Cleanlab
Series A in 2023
Cleanlab specializes in enhancing the reliability of artificial intelligence systems by focusing on data-centric approaches. Its platform improves dataset quality, identifies low-quality outputs, determines root causes, enhances response accuracy, and applies guardrails to enable safe, accurate, and scalable AI deployment.
Polars
Seed Round in 2023
Polars is a rust based dataframe framework for data scientists and engineers that enables data processing at any scale.
Akkio
Series A in 2023
Akkio provides an AI-powered analytics platform that helps businesses turn data into actionable insights. It enables users to converse with live data through generative analytics and machine learning, automatically generating charts and dashboards and producing rapid, accurate predictions of key business outcomes. The platform supports AI-powered automation and seamless data sharing across teams, integrates with existing applications, and can transform spreadsheets into intelligent data workflows. By combining predictive modeling with easy-to-use tools, Akkio enables organizations of any size to obtain timely insights, forecast operational impacts, and accelerate decision-making without needing specialized data science expertise.
Cleanlab
Seed Round in 2023
Cleanlab specializes in enhancing the reliability of artificial intelligence systems by focusing on data-centric approaches. Its platform improves dataset quality, identifies low-quality outputs, determines root causes, enhances response accuracy, and applies guardrails to enable safe, accurate, and scalable AI deployment.
Unstructured
Seed Round in 2023
Unstructured is a developer of an open-source data transformation platform that simplifies the process of converting raw data, such as PDFs and Microsoft Office documents, into formats compatible with language models. The platform supports over 25 file types, including PDF, DOC, and PPTX, and offers connectors to various systems like SharePoint, S3, and Databricks. By facilitating effortless data extraction and integration into AI workflows, Unstructured enhances the accessibility of human-generated information, ensuring that it is readily available for generative AI systems. Its modular architecture allows users to incorporate any third-party model, making it a versatile solution for preprocessing natural language data for machine learning applications.
Unstructured
Series A in 2023
Unstructured is a developer of an open-source data transformation platform that simplifies the process of converting raw data, such as PDFs and Microsoft Office documents, into formats compatible with language models. The platform supports over 25 file types, including PDF, DOC, and PPTX, and offers connectors to various systems like SharePoint, S3, and Databricks. By facilitating effortless data extraction and integration into AI workflows, Unstructured enhances the accessibility of human-generated information, ensuring that it is readily available for generative AI systems. Its modular architecture allows users to incorporate any third-party model, making it a versatile solution for preprocessing natural language data for machine learning applications.
Rubber Ducky Labs
Seed Round in 2023
Rubber Ducky Labs develops an AI-driven metadata enrichment platform that enhances product discovery for e-commerce teams. The tools provide AI-powered tagging that supports multi-modal inputs and require no technical expertise, enabling online retailers to improve personalization, search, marketing, and SEO through enriched catalog data. The company focuses on recommender-system capabilities to optimize how products are surfaced and recommended to shoppers, helping retailers refine catalog quality and discoverability across channels.
Granica
Series A in 2023
Granica is a company that specializes in enhancing the efficiency and safety of artificial intelligence applications through its AI Data Readiness Platform. This platform assists data engineers and leaders in creating AI-ready data, which is crucial for optimizing machine learning models and analytics. By improving the efficiency of tabular and natural language processing training data, Granica significantly reduces storage costs and enhances query performance. The company focuses on mitigating risks associated with sensitive data leakage and harmful content, thereby ensuring privacy and safety in AI inputs and outputs. Granica curates and refines training datasets to select impactful samples, ultimately boosting the performance and reliability of AI models. Targeting enterprises in data-intensive sectors such as financial services, retail, geo-spatial intelligence, and autonomous vehicles, Granica enables clients to leverage AI more effectively, enhancing trust and improving business outcomes.
EvenUp
Series B in 2023
EvenUp is a legal technology company that specializes in cloud-based and AI-driven solutions for managing personal injury cases. The company offers a platform that automates various aspects of legal practices, particularly in valuing personal injury claims. By leveraging its Claims Intelligence Platform, which is underpinned by extensive data records, EvenUp enhances the efficiency and effectiveness of legal case management. Its software employs machine learning and artificial intelligence to assess the worth of lawsuits, helping plaintiffs secure fair outcomes and avoid premature settlements or excessive debts. Additionally, the platform provides attorneys with valuable data to facilitate principled settlement negotiations.
Zenlytic
Seed Round in 2022
Zenlytic develops an intelligent analytics platform that empowers users to ask data questions in natural language, receiving tailored insights instantly. Its AI-powered data analyst, Zoë, integrates with collaboration tools and supports dynamic dashboards, enabling businesses to make informed decisions.
StarTree
Series B in 2022
StarTree is a software company specializing in real-time analytics. It enables businesses to derive insights from continuous raw data streams, offering features like sub-second query response times, diverse data type support, scalable concurrency, and flexible deployment options.
Nightfall
Series B in 2022
Nightfall offers a cloud data protection platform and developer platform that uses machine learning to identify and classify sensitive business data across SaaS apps, APIs, and data infrastructure. It detects exposures, automates data hygiene, and enforces workflows such as quarantines, deletions, and alerts with no end-user disruption. The platform exposes cloud-hosted APIs and SDKs for developers to integrate data classification and protection capabilities into applications and data pipelines, helping organizations save time and keep business information safe.
Tecton
Series C in 2022
Tecton offers an enterprise-grade feature store, empowering businesses to harness machine learning effectively. Its platform addresses unique ML data requirements, enabling teams to build, serve, and scale features swiftly and reliably.
Grid.ai
Series B in 2022
Grid.ai, Inc. is a technology company founded in 2019 and based in New York, New York, that specializes in developing a platform for training artificial intelligence models using cloud-based graphics processing units (GPUs) and tensor processing units (TPUs). The platform provides several tools, including Grid Train, which facilitates research iteration and simplifies AI research, as well as Grid View, a web application for monitoring and managing infrastructure. Additionally, it offers Tensorboard for analyzing experiments. The company's solutions are designed to enhance the capabilities of machine learning engineers, data scientists, and AI researchers, allowing them to build advanced AI models and applications with minimal changes to existing code. Grid.ai emerged from the creators of the widely used PyTorch Lightning framework, further solidifying its expertise in high-performance AI research.
Overview.ai
Series A in 2022
Overview’s inspection systems are built with Deep Learning technology which allows us to find mistakes more consistently and in a wider variety of situations.
Noteable
Series A in 2021
Noteable is a developer of a no-code collaborative notebook platform that enhances data analytics and visualization for teams. The platform facilitates a seamless experience for data-driven teams by allowing them to analyze and visualize data in a way that suits their workflows. It integrates analytics and machine learning capabilities, empowering users to drive meaningful business outcomes. Noteable's focus on collaboration ensures that data science and analytics teams can work together effectively, making data exploration and interpretation more accessible and efficient.
Socure
Series E in 2021
Socure develops digital identity verification solutions using artificial intelligence and machine learning. Its platform authenticates identities in real-time from various online/offline sources, automating customer identification program (CIP), know your customer (KYC), and anti-money laundering (AML) compliance initiatives.
LeapYear
Venture Round in 2021
LeapYear Technologies, Inc., established in 2014 and headquartered in Berkeley, California, specializes in developing a platform that enables enterprises to securely extract value from their most sensitive data. The platform employs differential privacy, a mathematically proven standard, to protect data while allowing it to be leveraged for machine learning purposes. This allows domain experts, data scientists, and partner organizations to create automated machine learning applications and APIs, monetizing previously inaccessible or restricted data sources. LeapYear has collaborated with major companies across various sectors, including financial services, healthcare, technology, and insurance, to combine, analyze, and securely utilize previously siloed information.
Akkio
Seed Round in 2021
Akkio provides an AI-powered analytics platform that helps businesses turn data into actionable insights. It enables users to converse with live data through generative analytics and machine learning, automatically generating charts and dashboards and producing rapid, accurate predictions of key business outcomes. The platform supports AI-powered automation and seamless data sharing across teams, integrates with existing applications, and can transform spreadsheets into intelligent data workflows. By combining predictive modeling with easy-to-use tools, Akkio enables organizations of any size to obtain timely insights, forecast operational impacts, and accelerate decision-making without needing specialized data science expertise.
Nexacore
Pre Seed Round in 2021
Nexacore is a technology company offering a generative AI for analytics and predictive modeling platform that gives any size business a competitive edge with rapid insights and visionary predictions for everyday operations, and accelerates the development of AI applications by helping machine learning teams generate ground truth data.
Moveworks
Series C in 2021
Moveworks is a cloud-based AI platform for enterprises that automates IT support and related administrative tasks. The platform autonomously handles requests such as ordering hardware, provisioning software and account access, locating colleagues and conference rooms, checking ticket status, and obtaining software licenses, all through conversational interfaces. It integrates with enterprise chat tools like Slack to interact with users and trigger automated workflows. The solution uses a Reasoning Engine that combines public and proprietary large language models to interpret complex requests, execute multi-step processes, and adapt from past interactions. It surfaces information and automates tasks across multiple systems with an agentic AI assistant that enables conversational automation across business functions. Moveworks was founded in 2016 and is headquartered in Mountain View, California, with an additional office in Culver City, California.
StarTree
Series A in 2021
StarTree is a software company specializing in real-time analytics. It enables businesses to derive insights from continuous raw data streams, offering features like sub-second query response times, diverse data type support, scalable concurrency, and flexible deployment options.
Grid.ai
Series A in 2020
Grid.ai, Inc. is a technology company founded in 2019 and based in New York, New York, that specializes in developing a platform for training artificial intelligence models using cloud-based graphics processing units (GPUs) and tensor processing units (TPUs). The platform provides several tools, including Grid Train, which facilitates research iteration and simplifies AI research, as well as Grid View, a web application for monitoring and managing infrastructure. Additionally, it offers Tensorboard for analyzing experiments. The company's solutions are designed to enhance the capabilities of machine learning engineers, data scientists, and AI researchers, allowing them to build advanced AI models and applications with minimal changes to existing code. Grid.ai emerged from the creators of the widely used PyTorch Lightning framework, further solidifying its expertise in high-performance AI research.
BioCatch
Series C in 2020
BioCatch is a pioneering company specializing in behavioral biometrics, which focuses on analyzing the digital behavior of online users to enhance fraud detection and prevention. By leveraging advanced cognitive science and machine learning, BioCatch provides insights that help financial institutions identify potential risks associated with user interactions while maintaining privacy. The company's technology is designed to combat increasingly sophisticated fraud tactics, including social engineering scams, and to streamline the digital banking experience from account creation to login and beyond. With over a decade of experience and a robust portfolio of patents, BioCatch is committed to driving innovation in the field of digital security, enabling clients to effectively combat fraud while fostering a trusted online environment.
Arista NDR
Series C in 2020
Awake Security, Inc. specializes in network traffic analysis, providing a platform that autonomously identifies and assesses threats within various network environments. Founded in 2014 and based in Santa Clara, California, the company offers its Awake platform, which leverages machine learning, threat intelligence, and human expertise to analyze vast amounts of communication data. This platform profiles and classifies users, devices, and applications, enabling the detection of malicious intent from both insider and external threats. With capabilities for automated investigation and response, Awake enhances security team productivity by delivering actionable insights rather than mere alerts. Furthermore, the company offers security strategy and advisory solutions, ensuring comprehensive protection across traditional, IoT, and cloud networks. Awake Security operates as a subsidiary of Arista Networks, Inc. as of October 2020.
Rollbar
Series B in 2020
Rollbar, Inc. is a software company that specializes in error tracking and debugging solutions for software engineering teams. The company offers a platform that automates error monitoring and triaging, allowing developers to quickly identify and fix issues within their code. Rollbar's tool captures exceptions in real-time, providing developers with complete visibility into errors by delivering context-rich data such as stack traces, request parameters, and local variable values. Utilizing machine learning, Rollbar's error grouping engine minimizes alert noise by automatically consolidating similar errors, while also triggering workflows to proactively address new bugs or regressions. This enables teams to maintain a focus on continuous code improvement and innovation, ultimately enhancing the software development process. Founded in 2012 and originally named Ratchet, Inc., Rollbar is headquartered in San Francisco, California, with additional offices in Barcelona, Spain, and Budapest, Hungary.
Grid.ai
Seed Round in 2019
Grid.ai, Inc. is a technology company founded in 2019 and based in New York, New York, that specializes in developing a platform for training artificial intelligence models using cloud-based graphics processing units (GPUs) and tensor processing units (TPUs). The platform provides several tools, including Grid Train, which facilitates research iteration and simplifies AI research, as well as Grid View, a web application for monitoring and managing infrastructure. Additionally, it offers Tensorboard for analyzing experiments. The company's solutions are designed to enhance the capabilities of machine learning engineers, data scientists, and AI researchers, allowing them to build advanced AI models and applications with minimal changes to existing code. Grid.ai emerged from the creators of the widely used PyTorch Lightning framework, further solidifying its expertise in high-performance AI research.
Moveworks
Series B in 2019
Moveworks is a cloud-based AI platform for enterprises that automates IT support and related administrative tasks. The platform autonomously handles requests such as ordering hardware, provisioning software and account access, locating colleagues and conference rooms, checking ticket status, and obtaining software licenses, all through conversational interfaces. It integrates with enterprise chat tools like Slack to interact with users and trigger automated workflows. The solution uses a Reasoning Engine that combines public and proprietary large language models to interpret complex requests, execute multi-step processes, and adapt from past interactions. It surfaces information and automates tasks across multiple systems with an agentic AI assistant that enables conversational automation across business functions. Moveworks was founded in 2016 and is headquartered in Mountain View, California, with an additional office in Culver City, California.
Nightfall
Series A in 2019
Nightfall offers a cloud data protection platform and developer platform that uses machine learning to identify and classify sensitive business data across SaaS apps, APIs, and data infrastructure. It detects exposures, automates data hygiene, and enforces workflows such as quarantines, deletions, and alerts with no end-user disruption. The platform exposes cloud-hosted APIs and SDKs for developers to integrate data classification and protection capabilities into applications and data pipelines, helping organizations save time and keep business information safe.
AllyO
Series B in 2019
AllyO automates talent acquisition and management using AI-powered chatbots. It offers an HR Communications Platform that reduces manual work, time, and cost for engaging candidates and employees. The platform covers recruiting automation (text-to-apply, screening, scheduling interviews) and HR automation (onboarding, pulse check-ins). AllyO's conversational AI achieves a 91% conversation completion rate and supports major talent acquisition systems.
LeapYear
Series B in 2019
LeapYear Technologies, Inc., established in 2014 and headquartered in Berkeley, California, specializes in developing a platform that enables enterprises to securely extract value from their most sensitive data. The platform employs differential privacy, a mathematically proven standard, to protect data while allowing it to be leveraged for machine learning purposes. This allows domain experts, data scientists, and partner organizations to create automated machine learning applications and APIs, monetizing previously inaccessible or restricted data sources. LeapYear has collaborated with major companies across various sectors, including financial services, healthcare, technology, and insurance, to combine, analyze, and securely utilize previously siloed information.
Moveworks
Series A in 2019
Moveworks is a cloud-based AI platform for enterprises that automates IT support and related administrative tasks. The platform autonomously handles requests such as ordering hardware, provisioning software and account access, locating colleagues and conference rooms, checking ticket status, and obtaining software licenses, all through conversational interfaces. It integrates with enterprise chat tools like Slack to interact with users and trigger automated workflows. The solution uses a Reasoning Engine that combines public and proprietary large language models to interpret complex requests, execute multi-step processes, and adapt from past interactions. It surfaces information and automates tasks across multiple systems with an agentic AI assistant that enables conversational automation across business functions. Moveworks was founded in 2016 and is headquartered in Mountain View, California, with an additional office in Culver City, California.
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.
Shelf Engine
Seed Round in 2018
Shelf Engine is a Seattle-based company founded in 2015 that specializes in an automated prediction platform aimed at minimizing food waste in the grocery sector. By employing machine learning and analyzing historical data, the platform accurately forecasts demand for perishable goods, allowing grocery stores to optimize their ordering processes. This innovative approach not only helps retailers avoid out-of-stock situations but also significantly reduces food and beverage waste. Shelf Engine manages the entire ordering process, including vendor management and shelf optimization, which enhances profit margins for grocery stores. The company operates with a unique buy-back model for unsold items, thereby mitigating financial risk for retailers. With a workforce of over 145 employees, Shelf Engine serves leading grocers across thousands of locations in the United States.
CoinAlpha
Seed Round in 2018
CoinAlpha, Inc. is a FinTech software engineering firm based in Mountain View, California, founded in 2017. The company specializes in developing technologies that enable traders, developers, and fintech firms to create contract-based financial products. CoinAlpha is known for its open-source initiatives, including the Basket Protocol for Ethereum tokens and the Fund Protocol for fund administration. The company has also created Hummingbot, a leading open-source software for building market-making and arbitrage bots, which empowers users to manage token liquidity effectively. Additionally, CoinAlpha operates Hummingbot Miner, a liquidity mining platform that allows users to earn rewards by running market-making bots on specific trading pairs. The concept of liquidity mining was first introduced by CoinAlpha in a 2019 whitepaper. The founders bring extensive experience in investment banking and trading, complemented by engineering and product leadership backgrounds in notable Silicon Valley companies. CoinAlpha has successfully raised $14.8 million in funding from various investors.
Signifyd
Series D in 2018
Signifyd, Inc. is a technology company that specializes in fraud prevention for e-commerce businesses. Founded in 2011 and headquartered in San Jose, California, with an additional office in London, the company offers a software-as-a-service solution that simplifies fraud detection through a financial guarantee. Its platform, which utilizes big data, machine learning, and expert manual reviews, allows online retailers to mitigate risks associated with chargebacks and automate fraud prevention processes. Signifyd's services enable retailers to enhance customer experiences, increase sales, and expand into new markets while minimizing losses from fraudulent transactions. The company caters to a range of clients, including Fortune 1000 companies and top internet retailers, addressing critical challenges in the e-commerce landscape.
Iodine Software
Venture Round in 2018
Iodine Software LLC, founded in 2010 and based in Austin, Texas, develops advanced artificial intelligence-based software solutions aimed at enhancing clinical documentation integrity for hospitals across the United States. The company's AwareCDIâ„¢ Suite leverages machine learning algorithms to analyze extensive clinical data and documentation, providing predictive insights that assist clinicians and hospital administrators in automating complex tasks. By improving the accuracy and efficiency of clinical documentation, Iodine Software empowers healthcare providers to deliver better patient care while optimizing operational performance. With nearly 500 hospitals utilizing its technology, the company plays a significant role in the transformation of healthcare documentation practices.
AllyO
Series A in 2017
AllyO automates talent acquisition and management using AI-powered chatbots. It offers an HR Communications Platform that reduces manual work, time, and cost for engaging candidates and employees. The platform covers recruiting automation (text-to-apply, screening, scheduling interviews) and HR automation (onboarding, pulse check-ins). AllyO's conversational AI achieves a 91% conversation completion rate and supports major talent acquisition systems.
Rollbar
Series A in 2017
Rollbar, Inc. is a software company that specializes in error tracking and debugging solutions for software engineering teams. The company offers a platform that automates error monitoring and triaging, allowing developers to quickly identify and fix issues within their code. Rollbar's tool captures exceptions in real-time, providing developers with complete visibility into errors by delivering context-rich data such as stack traces, request parameters, and local variable values. Utilizing machine learning, Rollbar's error grouping engine minimizes alert noise by automatically consolidating similar errors, while also triggering workflows to proactively address new bugs or regressions. This enables teams to maintain a focus on continuous code improvement and innovation, ultimately enhancing the software development process. Founded in 2012 and originally named Ratchet, Inc., Rollbar is headquartered in San Francisco, California, with additional offices in Barcelona, Spain, and Budapest, Hungary.
Quantum Metric
Seed Round in 2017
Founded in 2011, Quantum Metric develops a machine learning-driven analytics platform that helps enterprises understand user behavior across digital channels. It automatically identifies website performance issues, user struggles, and system errors, integrating with various third-party tools. The platform offers predictive analysis, funnel DNA analysis to identify underperforming segments, and quantifies the financial impact of digital frustration points. Quantum Metric serves Fortune 500 companies across industries such as e-commerce, finance, travel, and telecommunications.
Arista NDR
Venture Round in 2017
Awake Security, Inc. specializes in network traffic analysis, providing a platform that autonomously identifies and assesses threats within various network environments. Founded in 2014 and based in Santa Clara, California, the company offers its Awake platform, which leverages machine learning, threat intelligence, and human expertise to analyze vast amounts of communication data. This platform profiles and classifies users, devices, and applications, enabling the detection of malicious intent from both insider and external threats. With capabilities for automated investigation and response, Awake enhances security team productivity by delivering actionable insights rather than mere alerts. Furthermore, the company offers security strategy and advisory solutions, ensuring comprehensive protection across traditional, IoT, and cloud networks. Awake Security operates as a subsidiary of Arista Networks, Inc. as of October 2020.
Signifyd
Series C in 2017
Signifyd, Inc. is a technology company that specializes in fraud prevention for e-commerce businesses. Founded in 2011 and headquartered in San Jose, California, with an additional office in London, the company offers a software-as-a-service solution that simplifies fraud detection through a financial guarantee. Its platform, which utilizes big data, machine learning, and expert manual reviews, allows online retailers to mitigate risks associated with chargebacks and automate fraud prevention processes. Signifyd's services enable retailers to enhance customer experiences, increase sales, and expand into new markets while minimizing losses from fraudulent transactions. The company caters to a range of clients, including Fortune 1000 companies and top internet retailers, addressing critical challenges in the e-commerce landscape.
AllyO
Seed Round in 2016
AllyO automates talent acquisition and management using AI-powered chatbots. It offers an HR Communications Platform that reduces manual work, time, and cost for engaging candidates and employees. The platform covers recruiting automation (text-to-apply, screening, scheduling interviews) and HR automation (onboarding, pulse check-ins). AllyO's conversational AI achieves a 91% conversation completion rate and supports major talent acquisition systems.
LeapYear
Series A in 2016
LeapYear Technologies, Inc., established in 2014 and headquartered in Berkeley, California, specializes in developing a platform that enables enterprises to securely extract value from their most sensitive data. The platform employs differential privacy, a mathematically proven standard, to protect data while allowing it to be leveraged for machine learning purposes. This allows domain experts, data scientists, and partner organizations to create automated machine learning applications and APIs, monetizing previously inaccessible or restricted data sources. LeapYear has collaborated with major companies across various sectors, including financial services, healthcare, technology, and insurance, to combine, analyze, and securely utilize previously siloed information.
Rollbar
Series A in 2016
Rollbar, Inc. is a software company that specializes in error tracking and debugging solutions for software engineering teams. The company offers a platform that automates error monitoring and triaging, allowing developers to quickly identify and fix issues within their code. Rollbar's tool captures exceptions in real-time, providing developers with complete visibility into errors by delivering context-rich data such as stack traces, request parameters, and local variable values. Utilizing machine learning, Rollbar's error grouping engine minimizes alert noise by automatically consolidating similar errors, while also triggering workflows to proactively address new bugs or regressions. This enables teams to maintain a focus on continuous code improvement and innovation, ultimately enhancing the software development process. Founded in 2012 and originally named Ratchet, Inc., Rollbar is headquartered in San Francisco, California, with additional offices in Barcelona, Spain, and Budapest, Hungary.
Semantic Machines
Series B in 2015
Semantic Machines develops advanced artificial intelligence technology focused on conversational AI. Based in Newton, Massachusetts, with additional offices in Berkeley and Boston, the company specializes in creating systems that enable computers to understand, communicate, and collaborate effectively with humans. Their technology includes components like a Conversation Engine for modeling human discourse, neural network systems for semantic analysis and dialog state management, speech recognition and synthesis platforms, and reinforcement learning technologies. Semantic Machines aims to revolutionize human-computer interaction by making conversational computing scalable and viable, thereby enhancing customer service and home automation experiences.
TrueMotion
Series A in 2015
TrueMotion, Inc. is a Boston-based company that develops a smartphone-based telematics platform for insurance companies, aimed at enhancing driving safety. Founded in 2012 and previously known as Censio, the company utilizes advanced signal processing, machine learning, and data science to analyze smartphone sensor data. This technology allows insurers to differentiate between safe and risky drivers, rewarding safe driving behaviors with discounts on premiums. By promoting safer driving practices, TrueMotion contributes to reducing the number of driving accidents and fostering safer roads for all motorists.
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.
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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