Bain Capital

KREA operates an artificial intelligence platform that enables users to create images from text prompts and save them in personalized collections. The platform allows users to train a tailored AI using their own images, adapting it to individual styles. Additionally, KREA provides access to millions of AI-generated images, offering inspiration and insight for various projects.

Actively AI, founded by Stanford AI researchers, specializes in an artificial intelligence-driven outbound sales platform that enhances lead generation and prospecting efficiency for sales teams. The platform offers features such as automated account research, real-time identification of top prospects, and personalized messaging generation based on data insights. By utilizing these capabilities, organizations can significantly increase their sales pipeline and improve meeting booking rates, enabling sales representatives to focus more on engaging with potential clients.

EvenUp is a legal tech company specializing in cloud-based and AI-driven solutions for personal injury legal practices. The company develops a platform that streamlines legal case management, focusing on valuing personal injury claims and automating document generation. Utilizing its Claims Intelligence Platform™, which leverages extensive data records, EvenUp enhances the performance of legal cases at various stages. The platform incorporates machine learning and artificial intelligence to assess the worth of lawsuits, providing funding for cases that only require repayment upon winning. This approach helps plaintiffs avoid premature settlements and financial burdens while equipping attorneys with valuable data for informed settlement negotiations.

Zenlytic is a business intelligence platform that leverages advanced technology to streamline data analysis for businesses. It features Zoë, a data analyst chatbot that significantly reduces ad hoc data requests and provides rapid responses, performing tasks up to 1200 times faster than traditional data teams. The platform enables users to pull data, create dashboards, and conduct advanced analytics using plain English, making complex data interactions more accessible. Zenlytic's innovative approach includes building a unique, LLM-native semantic layer that is integrated with a powerful AI agent and a modern business intelligence tool. Additionally, the platform serves as a centralized hub for e-commerce analytics, offering a no-code solution that automatically identifies important data changes and delves into the underlying causes of key metrics, allowing clients to gain a comprehensive understanding of their business performance.

Contextual AI offers a pioneering approach to generative AI for the workplace.

Unstructured is a developer of an open-source data transformation platform that simplifies the process of converting raw data from various sources, such as PDFs and Microsoft Office documents, into formats suitable for retrieval-augmented generation (RAG) applications. The platform supports over 25 file types and offers integration capabilities with third-party services like SharePoint and S3. By utilizing open-source libraries and application programming interfaces, Unstructured allows clients to create custom preprocessing pipelines tailored for machine learning tasks. This capability enhances the accessibility of human-generated information for large language models (LLMs) and facilitates seamless data extraction and integration into AI workflows, ultimately enabling organizations to maximize the value of their documents.

Branching Minds, Inc. offers a web-based platform designed to assist educators in identifying and addressing students' learning challenges. Founded in 2013 and based in New York, the company's tool enables teachers and parents to gather data on students’ observable behaviors through a structured Q&A process, helping to pinpoint cognitive issues and strengths. The platform algorithmically matches students with research-backed learning supports and allows users to track observations, systematize record-keeping, and generate reports. By integrating learning sciences with artificial intelligence technology, Branching Minds empowers intervention teams and classroom teachers to effectively understand the root causes of students' difficulties, ultimately enhancing the response to intervention and multi-tier systems of support in educational settings.

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.

Polars is a rust based dataframe framework for data scientists and engineers that enables data processing at any scale.

Akkio is a company focused on harnessing artificial intelligence to enhance data analytics and predictive modeling for businesses of all sizes. Its platform enables users to easily engage with live data, generate automated charts and dashboards, and make accurate predictions that can inform critical business decisions. By simplifying the integration of AI with existing applications, Akkio allows users to create AI-driven automation quickly and share insights with their teams. This approach transforms traditional data management practices, empowering organizations to derive meaningful insights from their data efficiently and effectively.

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.

Unstructured is a developer of an open-source data transformation platform that simplifies the process of converting raw data from various sources, such as PDFs and Microsoft Office documents, into formats suitable for retrieval-augmented generation (RAG) applications. The platform supports over 25 file types and offers integration capabilities with third-party services like SharePoint and S3. By utilizing open-source libraries and application programming interfaces, Unstructured allows clients to create custom preprocessing pipelines tailored for machine learning tasks. This capability enhances the accessibility of human-generated information for large language models (LLMs) and facilitates seamless data extraction and integration into AI workflows, ultimately enabling organizations to maximize the value of their documents.

Unstructured is a developer of an open-source data transformation platform that simplifies the process of converting raw data from various sources, such as PDFs and Microsoft Office documents, into formats suitable for retrieval-augmented generation (RAG) applications. The platform supports over 25 file types and offers integration capabilities with third-party services like SharePoint and S3. By utilizing open-source libraries and application programming interfaces, Unstructured allows clients to create custom preprocessing pipelines tailored for machine learning tasks. This capability enhances the accessibility of human-generated information for large language models (LLMs) and facilitates seamless data extraction and integration into AI workflows, ultimately enabling organizations to maximize the value of their documents.

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 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.

EvenUp is a legal tech company specializing in cloud-based and AI-driven solutions for personal injury legal practices. The company develops a platform that streamlines legal case management, focusing on valuing personal injury claims and automating document generation. Utilizing its Claims Intelligence Platform™, which leverages extensive data records, EvenUp enhances the performance of legal cases at various stages. The platform incorporates machine learning and artificial intelligence to assess the worth of lawsuits, providing funding for cases that only require repayment upon winning. This approach helps plaintiffs avoid premature settlements and financial burdens while equipping attorneys with valuable data for informed settlement negotiations.

Zenlytic is a business intelligence platform that leverages advanced technology to streamline data analysis for businesses. It features Zoë, a data analyst chatbot that significantly reduces ad hoc data requests and provides rapid responses, performing tasks up to 1200 times faster than traditional data teams. The platform enables users to pull data, create dashboards, and conduct advanced analytics using plain English, making complex data interactions more accessible. Zenlytic's innovative approach includes building a unique, LLM-native semantic layer that is integrated with a powerful AI agent and a modern business intelligence tool. Additionally, the platform serves as a centralized hub for e-commerce analytics, offering a no-code solution that automatically identifies important data changes and delves into the underlying causes of key metrics, allowing clients to gain a comprehensive understanding of their business performance.

StarTree is a cloud-based software company that specializes in providing advanced analytics solutions for business customers, enabling them to extract insights from both real-time and historical data. Founded by the engineering team behind Apache Pinot™, StarTree's technology supports numerous applications across various industries, serving prominent companies such as LinkedIn, Uber, and Walmart. Their platform, known as StarTree Cloud, facilitates the deployment of real-time analytics at scale, allowing organizations to make informed decisions based on timely and actionable information. By offering a concurrent and scalable analytics-as-a-service solution, StarTree enhances the ability of its clients to operate efficiently and effectively in today's data-driven environment.

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 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.

Grid.ai, Inc. is a technology company that provides a platform for training artificial intelligence (AI) models using cloud-based graphics processing units (GPUs) and tensor processing units (TPUs). Founded in 2019 and headquartered in New York, the company offers tools such as Grid Train, which facilitates AI research by simplifying model training and iteration, and Grid View, a web application for monitoring and managing infrastructure. Additionally, it provides Tensorboard for experiment analysis. Grid.ai aims to support machine learning engineers, data scientists, and AI researchers by enabling the development of advanced AI models and end-to-end machine learning systems, known as Lightning Apps, that are multi-cloud and fault-tolerant. The company gained significant funding in October 2020, which has bolstered its mission to enhance AI capabilities for users.

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 is a collaborative notebook platform designed for data-driven teams, allowing them to visualize and analyze data effectively. The platform offers a no-code environment that facilitates collaboration and empowers users to leverage analytics and machine learning capabilities. By providing a streamlined experience for data analytics and data science, Noteable enables teams to work with data in a manner that aligns with their preferences, ultimately driving better business outcomes.

Socure Inc. is a provider of digital identity verification solutions, focusing on real-time identity authentication through its Socure ID+ platform. This predictive analytics platform utilizes artificial intelligence and machine learning to authenticate identities by analyzing a multitude of online and offline data sources, including email, phone numbers, addresses, IP addresses, and social media profiles. Socure's offerings include Aida, an AI-driven bot for validating digital identities, Docv, an omnichannel document verification solution, and Sigma Synthetic Fraud, which tackles synthetic identity fraud. The company addresses the needs of various sectors, including software, consulting, and financial firms, through compliance initiatives such as customer identification programs, know your customer requirements, and anti-money laundering measures. Founded in 2012 and headquartered in New York, Socure has established partnerships with key industry players to enhance its service delivery.

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 and monetization. LeapYear has collaborated with major corporations across various sectors, including financial services, healthcare, technology, and insurance, to combine, analyze, and securely utilize previously restricted and siloed data sources.

Akkio is a company focused on harnessing artificial intelligence to enhance data analytics and predictive modeling for businesses of all sizes. Its platform enables users to easily engage with live data, generate automated charts and dashboards, and make accurate predictions that can inform critical business decisions. By simplifying the integration of AI with existing applications, Akkio allows users to create AI-driven automation quickly and share insights with their teams. This approach transforms traditional data management practices, empowering organizations to derive meaningful insights from their data efficiently and effectively.

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, Inc. develops a cloud-based AI platform that assists enterprises in resolving IT support issues for their employees. Founded in 2016 and headquartered in Mountain View, California, with an additional office in Culver City, the company offers an AI assistant that automates various tasks, such as ordering hardware, raising software requests, and managing ticket statuses. Utilizing a conversational interface, Moveworks interprets complex employee requests and executes multi-step processes, adapting based on previous interactions. Its technology is employed by organizations like Databricks, Broadcom, Hearst, and Palo Alto Networks to enhance productivity, streamline workflows, and improve information retrieval across enterprise systems. The platform integrates with chat applications, such as Slack, to provide seamless user experiences and automatic solutions.

StarTree is a cloud-based software company that specializes in providing advanced analytics solutions for business customers, enabling them to extract insights from both real-time and historical data. Founded by the engineering team behind Apache Pinot™, StarTree's technology supports numerous applications across various industries, serving prominent companies such as LinkedIn, Uber, and Walmart. Their platform, known as StarTree Cloud, facilitates the deployment of real-time analytics at scale, allowing organizations to make informed decisions based on timely and actionable information. By offering a concurrent and scalable analytics-as-a-service solution, StarTree enhances the ability of its clients to operate efficiently and effectively in today's data-driven environment.

Grid.ai, Inc. is a technology company that provides a platform for training artificial intelligence (AI) models using cloud-based graphics processing units (GPUs) and tensor processing units (TPUs). Founded in 2019 and headquartered in New York, the company offers tools such as Grid Train, which facilitates AI research by simplifying model training and iteration, and Grid View, a web application for monitoring and managing infrastructure. Additionally, it provides Tensorboard for experiment analysis. Grid.ai aims to support machine learning engineers, data scientists, and AI researchers by enabling the development of advanced AI models and end-to-end machine learning systems, known as Lightning Apps, that are multi-cloud and fault-tolerant. The company gained significant funding in October 2020, which has bolstered its mission to enhance AI capabilities for users.

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.

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.

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, Inc. is a technology company that provides a platform for training artificial intelligence (AI) models using cloud-based graphics processing units (GPUs) and tensor processing units (TPUs). Founded in 2019 and headquartered in New York, the company offers tools such as Grid Train, which facilitates AI research by simplifying model training and iteration, and Grid View, a web application for monitoring and managing infrastructure. Additionally, it provides Tensorboard for experiment analysis. Grid.ai aims to support machine learning engineers, data scientists, and AI researchers by enabling the development of advanced AI models and end-to-end machine learning systems, known as Lightning Apps, that are multi-cloud and fault-tolerant. The company gained significant funding in October 2020, which has bolstered its mission to enhance AI capabilities for users.

Moveworks, Inc. develops a cloud-based AI platform that assists enterprises in resolving IT support issues for their employees. Founded in 2016 and headquartered in Mountain View, California, with an additional office in Culver City, the company offers an AI assistant that automates various tasks, such as ordering hardware, raising software requests, and managing ticket statuses. Utilizing a conversational interface, Moveworks interprets complex employee requests and executes multi-step processes, adapting based on previous interactions. Its technology is employed by organizations like Databricks, Broadcom, Hearst, and Palo Alto Networks to enhance productivity, streamline workflows, and improve information retrieval across enterprise systems. The platform integrates with chat applications, such as Slack, to provide seamless user experiences and automatic solutions.

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.

Reonomy is a commercial real estate data and analytics platform that integrates extensive property information to assist professionals in sourcing deals and making informed decisions. By utilizing big data, partnerships, and machine learning, Reonomy connects various fragmented aspects of the commercial real estate market, offering users access to comprehensive property intelligence. The platform provides valuable insights by combining data on properties, companies, and individuals, enabling lenders, brokers, and investors to identify opportunities and engage with real estate owners effectively. Through its innovative approach, Reonomy empowers users to navigate the complexities of the real estate landscape with greater clarity and confidence.

Opsani, Inc. is a software company based in Redwood City, California, that specializes in cloud optimization and application deployment. Founded in 2014 as Datagrid Systems and renamed Opsani in 2017, the company develops a range of tools to enhance the performance of applications and cloud infrastructure. Its flagship product, Skopos, automates deployment processes, while Skopos Surveyor assists Docker users by scanning and displaying running applications and their architectures. Opsani AI leverages artificial intelligence to identify optimal settings for application performance, and VCTR scans servers and containers for vulnerabilities. The company's platform integrates seamlessly with various delivery platforms, enabling DevOps teams to optimize operations autonomously, adapt to changes, and improve overall efficiency.

AllyO is a leading provider of AI-powered solutions for human resources, specializing in automating talent acquisition and management. The company collaborates with a significant portion of Fortune 50 companies to enhance HR communication and streamline processes, reducing administrative burdens and inefficiencies. AllyO's innovative platform features AI-driven chatbots that facilitate various HR functions, including recruitment, onboarding, and employee engagement. This technology allows employers to automate tasks such as screening candidates, scheduling interviews, and conducting exit interviews, which improves efficiency and employee satisfaction. The platform also supports multiple communication channels, including text messaging and email, resulting in high conversation completion and talent satisfaction rates. AllyO's services are designed to integrate seamlessly with existing HR systems, ensuring compliance with security standards and regulations. With substantial backing from top-tier investors, the company has experienced significant growth and is committed to transforming the HR landscape through intelligent automation.

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 and monetization. LeapYear has collaborated with major corporations across various sectors, including financial services, healthcare, technology, and insurance, to combine, analyze, and securely utilize previously restricted and siloed data sources.

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.

Moveworks, Inc. develops a cloud-based AI platform that assists enterprises in resolving IT support issues for their employees. Founded in 2016 and headquartered in Mountain View, California, with an additional office in Culver City, the company offers an AI assistant that automates various tasks, such as ordering hardware, raising software requests, and managing ticket statuses. Utilizing a conversational interface, Moveworks interprets complex employee requests and executes multi-step processes, adapting based on previous interactions. Its technology is employed by organizations like Databricks, Broadcom, Hearst, and Palo Alto Networks to enhance productivity, streamline workflows, and improve information retrieval across enterprise systems. The platform integrates with chat applications, such as Slack, to provide seamless user experiences and automatic solutions.

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 is a Seattle-based company that offers an automated prediction platform aimed at reducing food waste in the grocery industry. Launched in 2015, the company utilizes machine learning and historical data to forecast demand for perishable goods, enabling grocery stores to optimize their orders and minimize out-of-stock situations. By managing the entire ordering process, including vendor management and shelf optimization, Shelf Engine helps retailers save costs and mitigate risks associated with unsold inventory by buying back remaining items. With over 145 employees, Shelf Engine serves leading grocers across thousands of locations nationwide, significantly increasing their profit margins while addressing the challenges of food waste.

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.

Reonomy is a commercial real estate data and analytics platform that integrates extensive property information to assist professionals in sourcing deals and making informed decisions. By utilizing big data, partnerships, and machine learning, Reonomy connects various fragmented aspects of the commercial real estate market, offering users access to comprehensive property intelligence. The platform provides valuable insights by combining data on properties, companies, and individuals, enabling lenders, brokers, and investors to identify opportunities and engage with real estate owners effectively. Through its innovative approach, Reonomy empowers users to navigate the complexities of the real estate landscape with greater clarity and confidence.

Signifyd, Inc. is a technology company based in San Jose, California, with an additional headquarters in London, United Kingdom. Established in 2011, it provides a software-as-a-service (SaaS) platform that helps e-commerce businesses mitigate fraud risk and manage chargebacks. Its key offerings include E-Commerce Assurance, which automates fraud prevention and protects online retailers from chargebacks, and Signifyd Chargeback Recovery, which assists merchants in handling various chargebacks. By leveraging big data, machine learning, and expert reviews, Signifyd offers a financial guarantee against fraud for approved orders, allowing retailers to enhance customer experiences, boost sales, and explore new market opportunities while minimizing operational costs associated with fraud detection. The company serves a range of clients, including those on the Fortune 1000 and Internet Retailer Top 500 lists, adhering to the belief that e-commerce businesses should thrive without the fear of fraud.

Opsani, Inc. is a software company based in Redwood City, California, that specializes in cloud optimization and application deployment. Founded in 2014 as Datagrid Systems and renamed Opsani in 2017, the company develops a range of tools to enhance the performance of applications and cloud infrastructure. Its flagship product, Skopos, automates deployment processes, while Skopos Surveyor assists Docker users by scanning and displaying running applications and their architectures. Opsani AI leverages artificial intelligence to identify optimal settings for application performance, and VCTR scans servers and containers for vulnerabilities. The company's platform integrates seamlessly with various delivery platforms, enabling DevOps teams to optimize operations autonomously, adapt to changes, and improve overall efficiency.

AllyO is a leading provider of AI-powered solutions for human resources, specializing in automating talent acquisition and management. The company collaborates with a significant portion of Fortune 50 companies to enhance HR communication and streamline processes, reducing administrative burdens and inefficiencies. AllyO's innovative platform features AI-driven chatbots that facilitate various HR functions, including recruitment, onboarding, and employee engagement. This technology allows employers to automate tasks such as screening candidates, scheduling interviews, and conducting exit interviews, which improves efficiency and employee satisfaction. The platform also supports multiple communication channels, including text messaging and email, resulting in high conversation completion and talent satisfaction rates. AllyO's services are designed to integrate seamlessly with existing HR systems, ensuring compliance with security standards and regulations. With substantial backing from top-tier investors, the company has experienced significant growth and is committed to transforming the HR landscape through intelligent automation.

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, Inc. provides an analytics platform that leverages machine learning to capture and analyze user behavior across digital channels. The platform combines statistical analysis with machine intelligence to assess website performance, identify user struggles, and detect issues such as underperforming layouts and network problems. By integrating session replay with customer feedback and various analytics tools, Quantum Metric enables organizations to gain insights into user interactions, including clicks and session behavior. The platform's Funnel DNA analysis helps identify segments affecting conversion rates and quantifies digital frustration points, informing strategic improvements. Catering primarily to Fortune 500 companies in sectors like e-commerce, finance, travel, and telecommunications, Quantum Metric aims to enhance digital products and optimize user experiences. Founded in 2011 and headquartered in Monument, Colorado, the company has received recognition for its innovation and growth.

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, Inc. is a technology company based in San Jose, California, with an additional headquarters in London, United Kingdom. Established in 2011, it provides a software-as-a-service (SaaS) platform that helps e-commerce businesses mitigate fraud risk and manage chargebacks. Its key offerings include E-Commerce Assurance, which automates fraud prevention and protects online retailers from chargebacks, and Signifyd Chargeback Recovery, which assists merchants in handling various chargebacks. By leveraging big data, machine learning, and expert reviews, Signifyd offers a financial guarantee against fraud for approved orders, allowing retailers to enhance customer experiences, boost sales, and explore new market opportunities while minimizing operational costs associated with fraud detection. The company serves a range of clients, including those on the Fortune 1000 and Internet Retailer Top 500 lists, adhering to the belief that e-commerce businesses should thrive without the fear of fraud.

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.

AllyO is a leading provider of AI-powered solutions for human resources, specializing in automating talent acquisition and management. The company collaborates with a significant portion of Fortune 50 companies to enhance HR communication and streamline processes, reducing administrative burdens and inefficiencies. AllyO's innovative platform features AI-driven chatbots that facilitate various HR functions, including recruitment, onboarding, and employee engagement. This technology allows employers to automate tasks such as screening candidates, scheduling interviews, and conducting exit interviews, which improves efficiency and employee satisfaction. The platform also supports multiple communication channels, including text messaging and email, resulting in high conversation completion and talent satisfaction rates. AllyO's services are designed to integrate seamlessly with existing HR systems, ensuring compliance with security standards and regulations. With substantial backing from top-tier investors, the company has experienced significant growth and is committed to transforming the HR landscape through intelligent automation.

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 and monetization. LeapYear has collaborated with major corporations across various sectors, including financial services, healthcare, technology, and insurance, to combine, analyze, and securely utilize previously restricted and siloed data sources.

Persado Inc., established in 2011, specializes in AI-generated marketing language solutions. Headquartered in New York, with offices in San Francisco, Chicago, Europe, and the UK, Persado serves major brands across retail, finance, travel, telecom, and healthcare. Its AI platforms, including Pro Email, Pro Social, and Persado Enterprise, create emotionally resonant language for emails, social ads, and personalized consumer interactions, driving short-term sales and long-term relationships. Persado's solutions have generated over $1.5 billion in incremental revenue for clients like Ally Bank, JPMorgan Chase, and Verizon, demonstrating an average 41% lift in conversion rates.

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, Inc. is focused on developing advanced artificial intelligence technology to enhance human-computer interaction through conversational computing. The company specializes in creating conversational interfaces that enable computers to understand and engage in dialogue with users across various platforms, including speech and text. Their technology encompasses a Conversation Engine for fluid discourse, neural networks for semantic analysis and dialogue management, and speech recognition and synthesis capabilities. Additionally, Semantic Machines employs reinforcement learning to improve system performance over time by learning from user interactions. The company aims to transform customer experiences and reduce costs in sectors such as customer service and home automation. Based in Newton, Massachusetts, with additional offices in Berkeley and Boston, Semantic Machines operates as a subsidiary of Microsoft Corporation.

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, 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.

Persado Inc., established in 2011, specializes in AI-generated marketing language solutions. Headquartered in New York, with offices in San Francisco, Chicago, Europe, and the UK, Persado serves major brands across retail, finance, travel, telecom, and healthcare. Its AI platforms, including Pro Email, Pro Social, and Persado Enterprise, create emotionally resonant language for emails, social ads, and personalized consumer interactions, driving short-term sales and long-term relationships. Persado's solutions have generated over $1.5 billion in incremental revenue for clients like Ally Bank, JPMorgan Chase, and Verizon, demonstrating an average 41% lift in conversion rates.

Reonomy is a commercial real estate data and analytics platform that integrates extensive property information to assist professionals in sourcing deals and making informed decisions. By utilizing big data, partnerships, and machine learning, Reonomy connects various fragmented aspects of the commercial real estate market, offering users access to comprehensive property intelligence. The platform provides valuable insights by combining data on properties, companies, and individuals, enabling lenders, brokers, and investors to identify opportunities and engage with real estate owners effectively. Through its innovative approach, Reonomy empowers users to navigate the complexities of the real estate landscape with greater clarity and confidence.

Skai is an AI-powered platform that provides businesses with consumer and market insights, strategic planning, and omnichannel media activation services. The company focuses on empowering brands and retailers by offering a suite of machine learning technologies designed to enhance decision-making and improve outcomes through actionable intelligence. Skai's offerings include tools for market intelligence, testing, and measurement, enabling brands and agencies to make informed predictions and optimize their strategic planning. By facilitating better connections with customers, Skai serves as a comprehensive solution for driving growth across key customer channels.

DataStax, Inc. is a provider of database software specifically designed for cloud applications, catering to Fortune 100 companies both in the United States and internationally. The company offers a range of products including DataStax Enterprise, which is based on Apache Cassandra and supports online applications requiring high performance and reliability. Additionally, DataStax provides tools such as OpsCenter for database management and monitoring, K8ssandra for deploying Cassandra on Kubernetes, and Astra, a database-as-a-service that significantly reduces deployment time. With a focus on real-time processing, DataStax also enables the building of generative AI applications through its vector database, which supports developers with various integration capabilities. The company's services are complemented by training, certification, support, and consulting. Founded in 2010 and headquartered in Santa Clara, California, DataStax has expanded its presence with offices in multiple global locations including the United Kingdom, Japan, France, Germany, Australia, and Ireland.

Persado Inc., established in 2011, specializes in AI-generated marketing language solutions. Headquartered in New York, with offices in San Francisco, Chicago, Europe, and the UK, Persado serves major brands across retail, finance, travel, telecom, and healthcare. Its AI platforms, including Pro Email, Pro Social, and Persado Enterprise, create emotionally resonant language for emails, social ads, and personalized consumer interactions, driving short-term sales and long-term relationships. Persado's solutions have generated over $1.5 billion in incremental revenue for clients like Ally Bank, JPMorgan Chase, and Verizon, demonstrating an average 41% lift in conversion rates.

TellApart, Inc. is a company that specializes in personalized predictive marketing, providing a platform designed to enhance customer engagement and drive sales for retailers. Founded in 2009 and based in San Francisco, California, TellApart's offerings include an identity network service that amalgamates online and offline data to create comprehensive customer profiles, as well as a predictive engine that assists shoppers in discovering relevant products. The platform enables personalized marketing across various digital channels, including display ads, social media, and email, ensuring that retailers can deliver tailored messages in real-time. TellApart's solutions encompass cross-device and native advertisement retargeting, audience targeting, and promotions, significantly contributing to increased revenue for numerous prominent retail brands. As of 2015, TellApart operates as a subsidiary of Twitter, Inc.

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.