New Enterprise Associates

Sana is an AI company building AI for enterprise knowledge.

Pathos is a company that focuses on enhancing the drug discovery process through its AI-enabled platform. This self-learning technology leverages big data and artificial intelligence to streamline the identification and validation of drug targets, ultimately establishing their clinical efficacy. By facilitating the exploration of novel concepts, Pathos aims to support drug developers in advancing innovative therapies. The platform is designed to manage the entire end-to-end process of designing and developing new therapeutics, thereby significantly reducing the time required for medication development.

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Global Predictions is a financial technology company founded by a team with extensive experience at Bridgewater, leveraging artificial intelligence to deliver investment insights and financial advice. The company has developed a proprietary Economic Insights Engine that powers its fintech solutions, making them accessible to millions through their API and tailored insights. Their flagship product, PortfolioPilot.com, serves as a personal AI financial advisor for individuals, managing over $30 billion in assets. The platform is designed to offer personalized recommendations and guidance for investment portfolio management, helping users navigate economic shifts effectively.

Perplexity is an innovative search engine platform that leverages artificial intelligence, specifically integrating large language models with traditional search functionalities. Utilizing advanced natural language processing and generative AI technologies, Perplexity aims to deliver conversational and contextually relevant responses to user inquiries. The platform is designed to merge the capabilities of conventional search engines with interactive AI assistance, enhancing the user experience. Additionally, Perplexity promotes an open-source environment that facilitates skill development and knowledge acquisition in software development, making its tools accessible to a broader audience. This approach positions Perplexity as a key player in the evolution of AI-driven search technologies.

Xaira Therapeutics is an integrated biotechnology company focused on revolutionizing drug discovery and development through the application of artificial intelligence. Headquartered in the San Francisco Bay Area, Xaira combines expertise in machine learning, extensive biological and clinical data generation, and robust therapeutic product development. By harnessing advanced AI techniques, the company aims to enhance the understanding of biological processes and improve the effectiveness of therapies. Xaira's approach encompasses all stages of drug discovery, striving to transform how diseases are treated and enabling clients to deliver innovative therapeutic solutions.

AI Squared helps large organizations bring AI to where work happens. We do this by leveraging our SaaS or on-prem platform which combines data sources with advanced AL/ML functionality and embeds intelligent insights into critical business applications. Trusted by the largest financial institutions, the most complicated supply chain logistics companies, and the US Department of Defense, we enable seamless collaboration between data science teams and business users, driving faster, more informed decision-making.

Lily AI is a developer of an e-commerce product discovery platform that enhances the sales capabilities of brands and retailers. The platform integrates customer-centric product attributes into various components of the e-commerce ecosystem, including site search engines, recommendation systems, and SEO/SEM functionalities. By improving on-site search and personalized product discovery, Lily AI supports retailers in the fashion, home, and beauty sectors, leading to significant increases in traffic, conversion rates, revenue, and brand loyalty. Headquartered in Mountain View, California, the company is backed by venture capital.

Together AI is a cloud-based platform designed for constructing open-source generative AI and infrastructure for developing AI models. The company contributes cutting-edge open-source research, models, and datasets to push the boundaries of AI forward. Through its decentralized cloud services, developers and researchers at organizations of various scales are empowered to train, refine, and deploy generative AI models.

Perplexity is an innovative search engine platform that leverages artificial intelligence, specifically integrating large language models with traditional search functionalities. Utilizing advanced natural language processing and generative AI technologies, Perplexity aims to deliver conversational and contextually relevant responses to user inquiries. The platform is designed to merge the capabilities of conventional search engines with interactive AI assistance, enhancing the user experience. Additionally, Perplexity promotes an open-source environment that facilitates skill development and knowledge acquisition in software development, making its tools accessible to a broader audience. This approach positions Perplexity as a key player in the evolution of AI-driven search technologies.

Martian is a developer of an artificial intelligence platform focused on enhancing model performance through innovative AI solutions. The company aims to provide improved alignment in AI by creating more interpretable alternatives to the traditional transformer architecture. By automatically routing prompts to the most suitable language model, Martian ensures that clients can leverage advanced AI capabilities to optimize their products and services. This approach not only enhances product performance but also offers clients a more effective means of utilizing AI in their operations.

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.

Rewind is a personalized AI powered by everything you’ve seen, said, or heard.

Orby AI is an artificial intelligence platform focused on automating mundane and repetitive tasks for business users. By monitoring user activities, the platform identifies recurring work steps and generates code to streamline these processes. This automation extends to various functions, including finance and accounting processing, customer support ticket resolution, and lead management data entry. Orby AI aims to enhance efficiency and optimize business operations by simplifying everyday tasks, allowing users to focus on more strategic activities.

Kira Learning is an AI-driven education technology company that creates innovative tools and solutions to support educators and students. Its primary mission is to empower schools, districts, and teachers by integrating cutting-edge artificial intelligence into educational practices, making teaching more effective and learning more engaging.

Sana is an AI company building AI for enterprise knowledge.

SimpleRose Inc. is a technology company based in Saint Louis, Missouri, that specializes in developing a prescriptive analytics platform aimed at enhancing decision-making processes in complex environments. Founded in 2018, the company's solutions focus on optimizing operations through applications such as scheduling, production planning, and portfolio optimization. By leveraging algorithmic innovations for improved numerical accuracy and speed, SimpleRose enables organizations to tackle intricate operational challenges and make informed decisions in real-time.

Perplexity is an innovative search engine platform that leverages artificial intelligence, specifically integrating large language models with traditional search functionalities. Utilizing advanced natural language processing and generative AI technologies, Perplexity aims to deliver conversational and contextually relevant responses to user inquiries. The platform is designed to merge the capabilities of conventional search engines with interactive AI assistance, enhancing the user experience. Additionally, Perplexity promotes an open-source environment that facilitates skill development and knowledge acquisition in software development, making its tools accessible to a broader audience. This approach positions Perplexity as a key player in the evolution of AI-driven search technologies.

Workera is a precision upskilling platform that enables enterprises, governments, and individuals to enhance their technological capabilities in areas such as data science, machine learning, and artificial intelligence. The platform utilizes artificial intelligence to offer a detailed assessment of workforce skills, providing hyper-personalized learning plans tailored to individual needs. This approach helps organizations identify skill gaps and mobilize talent effectively, ensuring they remain competitive in a rapidly evolving landscape. Through AI-driven mentorship and adaptive assessments, Workera delivers measurable results that facilitate upskilling and reskilling efforts, ultimately supporting informed decision-making in talent acquisition and development.

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Regression Games specializes in creating competitive gaming experiences that leverage artificial intelligence, making them accessible and enjoyable for a wide audience. The company develops innovative tools and solutions aimed at simplifying the workflows of game developers. Their platform focuses on quality assurance automation, game-balancing automation, and other related applications that utilize AI agents. This approach ensures that game development is streamlined and efficient, allowing developers to enhance their games while providing players with engaging AI-driven experiences.

AI Squared helps large organizations bring AI to where work happens. We do this by leveraging our SaaS or on-prem platform which combines data sources with advanced AL/ML functionality and embeds intelligent insights into critical business applications. Trusted by the largest financial institutions, the most complicated supply chain logistics companies, and the US Department of Defense, we enable seamless collaboration between data science teams and business users, driving faster, more informed decision-making.

Lily AI is a developer of an e-commerce product discovery platform that enhances the sales capabilities of brands and retailers. The platform integrates customer-centric product attributes into various components of the e-commerce ecosystem, including site search engines, recommendation systems, and SEO/SEM functionalities. By improving on-site search and personalized product discovery, Lily AI supports retailers in the fashion, home, and beauty sectors, leading to significant increases in traffic, conversion rates, revenue, and brand loyalty. Headquartered in Mountain View, California, the company is backed by venture capital.

Graft is a modern AI platform that allows data teams to create production-ready AI solutions with minimal effort. It eliminates the need for machine learning expertise, additional staffing, or infrastructure maintenance. The platform focuses on a data-centric approach, utilizing foundation models to enhance business outcomes. Additionally, Graft specializes in unstructured data analysis, harnessing artificial intelligence to process various types of data, including text, images, video, audio, and graphs. This capability enables clients to apply advanced analytical techniques effectively, ultimately driving improved results for their businesses.

Mashgin Inc. specializes in manufacturing intelligent kiosks that facilitate self-checkout at various retail environments, including cafés, convenience stores, and specialty shops. Founded in 2013 and based in Mountain View, California, the company utilizes advanced computer vision and deep learning technologies to streamline the checkout process. Its kiosks can recognize and process multiple items simultaneously, allowing customers to scan products based on their visual features such as color, shape, and size. This innovative system can be deployed quickly and at a lower cost compared to other self-checkout solutions. Currently, Mashgin's technology is in use at hundreds of locations, serving tens of thousands of customers daily.

Union.ai is a Kubernetes-native workflow orchestration platform for data and machine learning at scale. Union.ai provides software users with the tools they need to move their ideas from concept to high-quality production. Union's aim is to organize the numerous processes required to train and grow the most sophisticated and dynamic machine learning and data products.

ForAllSecure specializes in advanced fuzz testing and autonomous cybersecurity solutions, leveraging patented technology developed through extensive research at Carnegie Mellon University. The company collaborates with Fortune 1000 clients across sectors such as aerospace, automotive, and high-tech to deliver scalable security testing that adapts to rapid development and deployment cycles. Its innovative approach employs automated program analysis and artificial intelligence to identify and resolve software vulnerabilities in real-time, thereby enhancing the security posture of organizations. Recognized for its achievements, ForAllSecure won DARPA's Cyber Grand Challenge and was highlighted by MIT Technology Review as one of the 50 Smartest Companies.

Weaviate is a developer of an open-source AI platform that specializes in creating search and recommendation systems. The company's hybrid SaaS platform features a powerful AI vector search engine, which is designed to handle various use cases, including semantic search. It also includes plugins for integration into different applications and a user-friendly console for data management. Weaviate's architecture allows for efficient scaling, supporting the deployment of machine learning models and handling billions of data objects. This capability enables clients to leverage advanced search functionalities and enhance their applications with effective recommendation systems.

HOS is an AI technology company focused on developing scalable solutions that drive meaningful change in society. By leveraging artificial intelligence, HOS aims to empower individuals to realize their potential and enhance their quality of life. The company’s mission is to create impactful technologies that facilitate personal and economic growth, enabling people to thrive on their own terms.

Kira Learning is an AI-driven education technology company that creates innovative tools and solutions to support educators and students. Its primary mission is to empower schools, districts, and teachers by integrating cutting-edge artificial intelligence into educational practices, making teaching more effective and learning more engaging.

Aquabyte, Inc. specializes in developing advanced monitoring systems for the fish farming industry, employing computer vision and machine learning technologies. Founded in 2017 and headquartered in San Francisco, California, with an office in Bergen, Norway, Aquabyte's smart camera system enables real-time applications such as detecting biomass, counting sea lice, and monitoring fish appetite. The accompanying web dashboard provides continuous metrics to enhance operational efficiency. By integrating these technologies, Aquabyte aims to reduce operational costs and fish mortality while promoting sustainability in aquaculture. The company’s innovative approach seeks to address the challenges faced by fish farms, ultimately contributing to a more efficient and environmentally friendly industry.

Forethought, founded in 2018, specializes in generative AI solutions aimed at enhancing customer service automation. The company offers tools that improve efficiency by integrating AI, particularly Large Language Models, into various stages of the customer support process. These tools facilitate immediate responses to customer inquiries, automate the handling of routine issues, and assist support agents with relevant information. By streamlining workflows and providing actionable insights, Forethought enables businesses to reduce resolution times and boost agent productivity, ultimately creating a more seamless customer experience.

Anyscale, Inc. is a technology company based in Berkeley, California, founded by the creators of the open-source project Ray. It specializes in developing distributed programming platforms and tools that simplify the creation and scaling of artificial intelligence applications. Anyscale's software enables developers and machine learning engineers to effortlessly scale their applications from local environments to the cloud, eliminating the need for complex infrastructure. The company's framework allows users of varying skill levels to build and deploy compute-intensive applications efficiently, facilitating faster and more cost-effective market entry for AI products. Anyscale aims to enhance the end-to-end AI lifecycle, making it accessible for organizations to leverage AI technologies.

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Clarifai, Inc. is a prominent provider of advanced artificial intelligence solutions specializing in image recognition, natural language processing, and audio recognition. Founded in 2013 by Matt Zeiler, Ph.D., the company develops a deep learning platform that enables organizations to convert unstructured data—such as images, videos, text, and audio—into structured data efficiently and accurately. Clarifai's image recognition technology is capable of detecting near-duplicates, categorizing objects, and tagging images, while also allowing users to search for similar images within extensive uncategorized collections through a combination of semantic and visual similarity. Additionally, the company offers a labeling tool called Labeler, which aids in dataset labeling, AI training, and model auto-scaling in production environments. Headquartered in New York, with an office in Tallinn, Estonia, Clarifai employs a distributed team across various countries, including the United States, Canada, Argentina, and India.

Neural Magic provides enterprise inference solutions that enhance the performance of open-source large language models across diverse infrastructures. The company's software serves to accelerate artificial intelligence workloads on standard hardware, allowing organizations to efficiently utilize their existing resources. By leveraging big data and deep learning, Neural Magic's technology supports applications such as recommendations, image recognition, and object detection. This enables businesses to overcome the constraints typically associated with traditional hardware accelerators, facilitating secure and cost-effective deployments of AI models.

Workera is a precision upskilling platform that enables enterprises, governments, and individuals to enhance their technological capabilities in areas such as data science, machine learning, and artificial intelligence. The platform utilizes artificial intelligence to offer a detailed assessment of workforce skills, providing hyper-personalized learning plans tailored to individual needs. This approach helps organizations identify skill gaps and mobilize talent effectively, ensuring they remain competitive in a rapidly evolving landscape. Through AI-driven mentorship and adaptive assessments, Workera delivers measurable results that facilitate upskilling and reskilling efforts, ultimately supporting informed decision-making in talent acquisition and development.

Berkshire Grey develops a materials handling system intended to automate omnichannel fulfillment. Its system utilizes artificial intelligence, computer vision, machine learning, and novel sensing to deploy intelligent robotic systems that automate tasks never before performed by machines in commercial settings, enabling customers to achieve higher accuracy and throughput speeds than traditional approaches as well as handle the broadest assortment of products, packaging, and parcels with ease.

WireWheel, Inc. is a software company that offers a data privacy management platform designed to assist organizations in complying with data protection regulations such as the EU GDPR, Privacy Shield, PCI DSS, and HIPAA. Founded in 2016 and based in Arlington, Virginia, WireWheel provides cloud-based solutions that help global enterprises operationalize privacy and become GDPR-ready. The platform includes features for privacy program management and subject rights request management, leveraging machine learning and data science to enhance its effectiveness. Additionally, it facilitates the automatic mapping of public cloud assets and the management of third-party relationships, helping companies navigate compliance obligations while maximizing the potential of their data assets for competitive advantage.

Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.

DataRobot, Inc. develops an automated machine learning platform that empowers enterprises to create predictive models efficiently. Its offerings include DataRobot Cloud, a predictive analytics solution available both in the cloud and on-premises, and DataRobot MLOps, which facilitates the deployment, monitoring, and management of machine learning models across organizations. The company also provides DataRobot Enterprise, featuring flexible deployment options, governance, and training services, along with packages designed to accelerate artificial intelligence projects. DataRobot serves a diverse range of industries, including banking, healthcare, manufacturing, and marketing, catering to business analysts, data scientists, and IT professionals. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot has expanded its operations globally, with offices in major cities such as London, Paris, and Tokyo, and maintains strategic partnerships to enhance its offerings.

Forethought, founded in 2018, specializes in generative AI solutions aimed at enhancing customer service automation. The company offers tools that improve efficiency by integrating AI, particularly Large Language Models, into various stages of the customer support process. These tools facilitate immediate responses to customer inquiries, automate the handling of routine issues, and assist support agents with relevant information. By streamlining workflows and providing actionable insights, Forethought enables businesses to reduce resolution times and boost agent productivity, ultimately creating a more seamless customer experience.

Anyscale, Inc. is a technology company based in Berkeley, California, founded by the creators of the open-source project Ray. It specializes in developing distributed programming platforms and tools that simplify the creation and scaling of artificial intelligence applications. Anyscale's software enables developers and machine learning engineers to effortlessly scale their applications from local environments to the cloud, eliminating the need for complex infrastructure. The company's framework allows users of varying skill levels to build and deploy compute-intensive applications efficiently, facilitating faster and more cost-effective market entry for AI products. Anyscale aims to enhance the end-to-end AI lifecycle, making it accessible for organizations to leverage AI technologies.

Matroid is a computer vision company that provides a studio to create, combine, and use computer vision detectors, without programming. Its platform allows users to create computer vision detectors that recognize the people, events, and objects they are interested in, monitor television streams in real-time, send notifications about custom events on security cameras, and search visual media. Matroid was founded by Reza Zadeh in 2016 and is headquartered in Palo Alto, California.

ClearMetal, Inc., based in San Francisco, California, specializes in artificial intelligence software for supply chain operations, focusing on transport and supply chain visibility solutions. Founded in 2014 by experts from Stanford University and leading technology companies, ClearMetal's platform leverages machine learning algorithms to enhance the accuracy and quality of ocean freight data. This cloud-based application consolidates and processes information from multiple sources, providing real-time insights into shipment status and enabling organizations to predict arrival times and manage exceptions effectively. By facilitating access to reliable data, ClearMetal aims to improve logistics efficiency and enhance customer experiences in supply chain management.

Berkshire Grey develops a materials handling system intended to automate omnichannel fulfillment. Its system utilizes artificial intelligence, computer vision, machine learning, and novel sensing to deploy intelligent robotic systems that automate tasks never before performed by machines in commercial settings, enabling customers to achieve higher accuracy and throughput speeds than traditional approaches as well as handle the broadest assortment of products, packaging, and parcels with ease.

Lily AI is a developer of an e-commerce product discovery platform that enhances the sales capabilities of brands and retailers. The platform integrates customer-centric product attributes into various components of the e-commerce ecosystem, including site search engines, recommendation systems, and SEO/SEM functionalities. By improving on-site search and personalized product discovery, Lily AI supports retailers in the fashion, home, and beauty sectors, leading to significant increases in traffic, conversion rates, revenue, and brand loyalty. Headquartered in Mountain View, California, the company is backed by venture capital.

Uhana, Inc. is a technology company based in Palo Alto, California, focused on enhancing mobile network operations through its innovative software platform. As a subsidiary of VMware, Uhana develops a real-time network AI engine that leverages advanced research from Stanford University. This platform ingests extensive telemetry data from existing network components and applications, employing machine learning and deep learning techniques to optimize user experiences in demanding applications such as virtual and augmented reality, video streaming, drones, and connected vehicles. Uhana's software provides predictive guidance for both applications and network management, improving performance across various mobile networks. By enabling independent onboarding of applications and mobile networks, Uhana delivers value to over-the-top (OTT) services and network providers alike, enhancing operational efficiency and application quality of experience.

Anyscale, Inc. is a technology company based in Berkeley, California, founded by the creators of the open-source project Ray. It specializes in developing distributed programming platforms and tools that simplify the creation and scaling of artificial intelligence applications. Anyscale's software enables developers and machine learning engineers to effortlessly scale their applications from local environments to the cloud, eliminating the need for complex infrastructure. The company's framework allows users of varying skill levels to build and deploy compute-intensive applications efficiently, facilitating faster and more cost-effective market entry for AI products. Anyscale aims to enhance the end-to-end AI lifecycle, making it accessible for organizations to leverage AI technologies.

Neural Magic provides enterprise inference solutions that enhance the performance of open-source large language models across diverse infrastructures. The company's software serves to accelerate artificial intelligence workloads on standard hardware, allowing organizations to efficiently utilize their existing resources. By leveraging big data and deep learning, Neural Magic's technology supports applications such as recommendations, image recognition, and object detection. This enables businesses to overcome the constraints typically associated with traditional hardware accelerators, facilitating secure and cost-effective deployments of AI models.

Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.

DataRobot, Inc. develops an automated machine learning platform that empowers enterprises to create predictive models efficiently. Its offerings include DataRobot Cloud, a predictive analytics solution available both in the cloud and on-premises, and DataRobot MLOps, which facilitates the deployment, monitoring, and management of machine learning models across organizations. The company also provides DataRobot Enterprise, featuring flexible deployment options, governance, and training services, along with packages designed to accelerate artificial intelligence projects. DataRobot serves a diverse range of industries, including banking, healthcare, manufacturing, and marketing, catering to business analysts, data scientists, and IT professionals. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot has expanded its operations globally, with offices in major cities such as London, Paris, and Tokyo, and maintains strategic partnerships to enhance its offerings.

Aquabyte, Inc. specializes in developing advanced monitoring systems for the fish farming industry, employing computer vision and machine learning technologies. Founded in 2017 and headquartered in San Francisco, California, with an office in Bergen, Norway, Aquabyte's smart camera system enables real-time applications such as detecting biomass, counting sea lice, and monitoring fish appetite. The accompanying web dashboard provides continuous metrics to enhance operational efficiency. By integrating these technologies, Aquabyte aims to reduce operational costs and fish mortality while promoting sustainability in aquaculture. The company’s innovative approach seeks to address the challenges faced by fish farms, ultimately contributing to a more efficient and environmentally friendly industry.

Drop is a personalized commerce platform that enhances consumer experiences by connecting users with over 400 partner brands to earn rewards for their purchases. The platform utilizes machine learning to tailor offers and recommendations, ensuring that consumers receive relevant rewards at optimal times. With a focus on serving Millennials and Generation Z, Drop facilitates a seamless shopping experience, allowing users to earn points on both online and offline transactions, as well as through survey completions. Headquartered in Toronto, Drop has expanded its reach to over 4 million members across North America and the UK, aiming to improve everyday consumer lives through its innovative e-commerce and fintech solutions.

Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.

Forethought, founded in 2018, specializes in generative AI solutions aimed at enhancing customer service automation. The company offers tools that improve efficiency by integrating AI, particularly Large Language Models, into various stages of the customer support process. These tools facilitate immediate responses to customer inquiries, automate the handling of routine issues, and assist support agents with relevant information. By streamlining workflows and providing actionable insights, Forethought enables businesses to reduce resolution times and boost agent productivity, ultimately creating a more seamless customer experience.

WireWheel, Inc. is a software company that offers a data privacy management platform designed to assist organizations in complying with data protection regulations such as the EU GDPR, Privacy Shield, PCI DSS, and HIPAA. Founded in 2016 and based in Arlington, Virginia, WireWheel provides cloud-based solutions that help global enterprises operationalize privacy and become GDPR-ready. The platform includes features for privacy program management and subject rights request management, leveraging machine learning and data science to enhance its effectiveness. Additionally, it facilitates the automatic mapping of public cloud assets and the management of third-party relationships, helping companies navigate compliance obligations while maximizing the potential of their data assets for competitive advantage.

DataRobot, Inc. develops an automated machine learning platform that empowers enterprises to create predictive models efficiently. Its offerings include DataRobot Cloud, a predictive analytics solution available both in the cloud and on-premises, and DataRobot MLOps, which facilitates the deployment, monitoring, and management of machine learning models across organizations. The company also provides DataRobot Enterprise, featuring flexible deployment options, governance, and training services, along with packages designed to accelerate artificial intelligence projects. DataRobot serves a diverse range of industries, including banking, healthcare, manufacturing, and marketing, catering to business analysts, data scientists, and IT professionals. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot has expanded its operations globally, with offices in major cities such as London, Paris, and Tokyo, and maintains strategic partnerships to enhance its offerings.

SimpleRose Inc. is a technology company based in Saint Louis, Missouri, that specializes in developing a prescriptive analytics platform aimed at enhancing decision-making processes in complex environments. Founded in 2018, the company's solutions focus on optimizing operations through applications such as scheduling, production planning, and portfolio optimization. By leveraging algorithmic innovations for improved numerical accuracy and speed, SimpleRose enables organizations to tackle intricate operational challenges and make informed decisions in real-time.

HEAVY.AI develops a big data analytics and visualization platform that helps businesses and government entities uncover valuable opportunities and risks within extensive location and time data. Its technology leverages the capabilities of modern GPU and CPU hardware to facilitate high-speed analytics and visualization. The platform features a structured query language-compliant database and an advanced visual analytics engine, allowing users to analyze and visualize large datasets efficiently. Clients from various sectors, including government, telecommunications, energy, utilities, and higher education, utilize HEAVY.AI's solutions to enhance decision-making processes and gain insights from multi-billion record datasets.

Tamr, Inc. is an enterprise data unification company that specializes in providing data management solutions. The company offers a platform that utilizes machine learning combined with human expertise to identify and integrate diverse internal and external data sources, thereby enabling organizations to manage siloed data effectively. Tamr's services include enterprise data preparation, clinical data conversion, procurement optimization, and customer data integration, catering to various sectors such as financial services, life sciences, government, and manufacturing. Founded in 2013 by experienced professionals in the database industry, Tamr is headquartered in Cambridge, Massachusetts, with additional offices in major cities including New York, Seattle, San Francisco, Washington, D.C., and London. The company aims to deliver valuable insights from data, supporting clients in achieving successful business outcomes.

Automation Anywhere, Inc. is a global leader in Robotic Process Automation (RPA), specializing in AI-powered software solutions that automate repetitive business tasks. The company's cloud-native platform integrates RPA with artificial intelligence, machine learning, and analytics to improve productivity, customer experience, and employee engagement. Key offerings include Automation Anywhere Enterprise, which automates IT and business processes; Automation Anywhere Server; and the Premier application for creating and managing automation visually. The company also provides solutions like Process inVision for documenting processes and various Testing Anywhere products for quality assurance across multiple platforms. Additionally, Automation Anywhere offers consulting services and has established a strategic partnership with Microsoft Azure. Founded in 2003 and headquartered in San Jose, California, the company operates offices in major global cities, including Boston, Dallas, New York, and various locations in Asia and Europe.

Welltok is a data-driven enterprise SaaS company based in Denver, Colorado, focused on enhancing consumer engagement in health and wellness. Founded in 2009, Welltok's leading consumer activation platform enables health plans, employers, providers, and public entities to connect individuals with personalized health improvement resources. The company's platform leverages a large consumer database and machine learning to facilitate targeted actions, making it easier for consumers to engage in activities that promote their health and wellbeing. Through its innovative solutions, Welltok aims to incentivize and support users in optimizing their health outcomes.

DataVisor Inc. is a company specializing in fraud and financial crime detection solutions, established in 2013 and located in Mountain View, California. The firm employs advanced unsupervised machine learning technology to predict and identify attack vectors, effectively protecting large consumer-facing organizations from various digital threats. Its key products include dCube, which enables proactive fraud detection and prevention, and dVector, which enhances fraud management through accurate signal analysis. Additionally, dEdge collects real-time intelligence from connected devices to safeguard mobile and web applications against sophisticated attacks. DataVisor addresses a wide range of fraud types, including account takeovers, fake account creations, money laundering, and promotional abuse, serving industries such as financial services, retail, e-commerce, social platforms, and telecommunications. The company's innovative approach enables organizations to respond to rapidly evolving fraud tactics and mitigate risks in real time.

Drop is a personalized commerce platform that enhances consumer experiences by connecting users with over 400 partner brands to earn rewards for their purchases. The platform utilizes machine learning to tailor offers and recommendations, ensuring that consumers receive relevant rewards at optimal times. With a focus on serving Millennials and Generation Z, Drop facilitates a seamless shopping experience, allowing users to earn points on both online and offline transactions, as well as through survey completions. Headquartered in Toronto, Drop has expanded its reach to over 4 million members across North America and the UK, aiming to improve everyday consumer lives through its innovative e-commerce and fintech solutions.

Aquabyte, Inc. specializes in developing advanced monitoring systems for the fish farming industry, employing computer vision and machine learning technologies. Founded in 2017 and headquartered in San Francisco, California, with an office in Bergen, Norway, Aquabyte's smart camera system enables real-time applications such as detecting biomass, counting sea lice, and monitoring fish appetite. The accompanying web dashboard provides continuous metrics to enhance operational efficiency. By integrating these technologies, Aquabyte aims to reduce operational costs and fish mortality while promoting sustainability in aquaculture. The company’s innovative approach seeks to address the challenges faced by fish farms, ultimately contributing to a more efficient and environmentally friendly industry.

One Concern, Inc. is a technology company that specializes in disaster preparedness and response through the use of artificial intelligence and machine learning. Founded in 2015 and headquartered in Menlo Park, California, with an additional office in Tokyo, Japan, the company offers a platform that generates post-disaster damage maps and daily situational reports. Its key product, Seismic Concern, focuses on earthquake preparedness and response, while the platform addresses a wide range of natural disasters, including hurricanes, floods, and fires. One Concern's innovative approach combines hazard modeling and resilience analytics to assist governments and organizations in understanding and managing risks associated with climate change and other chronic stresses. By delivering tools that support the lifecycle of disaster management—from preparedness to recovery—One Concern aims to reduce the impact of disasters on communities and promote resilience. Recognized as a 2019 Technology Pioneer, the company is also part of the World Economic Forum’s Global Innovators community.

Lily AI is a developer of an e-commerce product discovery platform that enhances the sales capabilities of brands and retailers. The platform integrates customer-centric product attributes into various components of the e-commerce ecosystem, including site search engines, recommendation systems, and SEO/SEM functionalities. By improving on-site search and personalized product discovery, Lily AI supports retailers in the fashion, home, and beauty sectors, leading to significant increases in traffic, conversion rates, revenue, and brand loyalty. Headquartered in Mountain View, California, the company is backed by venture capital.

WireWheel, Inc. is a software company that offers a data privacy management platform designed to assist organizations in complying with data protection regulations such as the EU GDPR, Privacy Shield, PCI DSS, and HIPAA. Founded in 2016 and based in Arlington, Virginia, WireWheel provides cloud-based solutions that help global enterprises operationalize privacy and become GDPR-ready. The platform includes features for privacy program management and subject rights request management, leveraging machine learning and data science to enhance its effectiveness. Additionally, it facilitates the automatic mapping of public cloud assets and the management of third-party relationships, helping companies navigate compliance obligations while maximizing the potential of their data assets for competitive advantage.

Scoutible, Inc. operates a game-based hiring platform that utilizes immersive mobile games to identify suitable job candidates. Founded in 2015 and based in Walnut, California, the company employs patent-pending technology and machine learning algorithms to assess players' cognitive and personality traits during gameplay. This innovative approach allows Scoutible to match candidates' attributes with the characteristics of top performers within organizations, thereby streamlining the hiring process. Employers can effectively identify and communicate with qualified candidates while individuals can discover their strengths through gameplay.

ClearMetal, Inc., based in San Francisco, California, specializes in artificial intelligence software for supply chain operations, focusing on transport and supply chain visibility solutions. Founded in 2014 by experts from Stanford University and leading technology companies, ClearMetal's platform leverages machine learning algorithms to enhance the accuracy and quality of ocean freight data. This cloud-based application consolidates and processes information from multiple sources, providing real-time insights into shipment status and enabling organizations to predict arrival times and manage exceptions effectively. By facilitating access to reliable data, ClearMetal aims to improve logistics efficiency and enhance customer experiences in supply chain management.

Matroid is a computer vision company that provides a studio to create, combine, and use computer vision detectors, without programming. Its platform allows users to create computer vision detectors that recognize the people, events, and objects they are interested in, monitor television streams in real-time, send notifications about custom events on security cameras, and search visual media. Matroid was founded by Reza Zadeh in 2016 and is headquartered in Palo Alto, California.

Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.

Juvo was founded with an overarching vision: to establish financial identities for the billions of people worldwide who are creditworthy, yet financially excluded. In partnership with mobile network operators, Juvo’s proprietary Identity Scoring technology uses data science, machine learning and game mechanics to create an identity-based relationship with anonymous prepaid users, opening up access to otherwise unattainable mobile financial services. Juvo is a privately held company backed by global business leaders and luminaries in the world of tech, mobile and finance. Its executive team comprises accomplished industry leaders across the data science, consumer internet, financial services and mobile telecom fields.

UnifyID, Inc. is a San Francisco-based company founded in 2015 that specializes in developing an identity application utilizing implicit authentication. This innovative platform creates unique user profiles by analyzing sensor data from everyday devices combined with machine learning techniques. Unlike traditional authentication methods that require conscious user action, UnifyID's approach leverages factors such as location and user habits to enhance accuracy and improve user experience. By employing proprietary algorithms, the company can assess the likelihood of a user's identity based on various signals, making it extremely difficult for unauthorized access. UnifyID's commitment to privacy is a central aspect of its technology, ensuring that user information remains secure. The company has garnered recognition within the tech community, including awards at prestigious events and being named a Gartner Cool Vendor in identity management.

DataRobot, Inc. develops an automated machine learning platform that empowers enterprises to create predictive models efficiently. Its offerings include DataRobot Cloud, a predictive analytics solution available both in the cloud and on-premises, and DataRobot MLOps, which facilitates the deployment, monitoring, and management of machine learning models across organizations. The company also provides DataRobot Enterprise, featuring flexible deployment options, governance, and training services, along with packages designed to accelerate artificial intelligence projects. DataRobot serves a diverse range of industries, including banking, healthcare, manufacturing, and marketing, catering to business analysts, data scientists, and IT professionals. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot has expanded its operations globally, with offices in major cities such as London, Paris, and Tokyo, and maintains strategic partnerships to enhance its offerings.

Drive.ai, Inc. specializes in developing artificial intelligence software and hardware for autonomous vehicles. Founded in 2015 by former lab mates from Stanford University's Artificial Intelligence Lab, the company focuses on creating self-driving technology that utilizes deep learning to enhance safety and adaptability in various driving environments. Drive.ai's offerings include a retrofitted self-driving kit, sensors, systems for vehicle control, communication systems, and an in-car interface. The company's mission is to leverage its innovative technology to save lives and transform the transportation industry. Headquartered in Mountain View, California, Drive.ai became a subsidiary of Apple Inc. in June 2019.

Bonsai offers an AI platform that empowers enterprises to build and deploy intelligent systems. By completely automating the management of complex machine learning libraries and algorithms, Bonsai enables enterprises to program AI models that improve system control and enhance real-time decision support. Businesses use these models today to increase automation and improve operational efficiency of industrial systems including robotics, manufacturing, supply chain, logistics, energy and utilities. Based in Berkeley, CA, Bonsai is backed by leading investors including NEA, Microsoft Ventures, ABB, Samsung NEXT and Siemens.

HEAVY.AI develops a big data analytics and visualization platform that helps businesses and government entities uncover valuable opportunities and risks within extensive location and time data. Its technology leverages the capabilities of modern GPU and CPU hardware to facilitate high-speed analytics and visualization. The platform features a structured query language-compliant database and an advanced visual analytics engine, allowing users to analyze and visualize large datasets efficiently. Clients from various sectors, including government, telecommunications, energy, utilities, and higher education, utilize HEAVY.AI's solutions to enhance decision-making processes and gain insights from multi-billion record datasets.

Prattle Analytics specializes in investment analytics by utilizing advanced technologies to measure sentiment and forecast market impacts from publicly available communications. By employing Natural Language Processing and machine learning, Prattle's platform analyzes complex language used in various contexts, such as corporate announcements and central bank statements. This automated system transforms extensive amounts of qualitative data into real-time, quantitative insights, enabling asset managers to grasp market dynamics more effectively. As a result, users can strengthen their investment theses and develop informed trading strategies based on a clearer understanding of market-moving language.

Barkly is the endpoint protection platform that delivers the strongest protection with the fewest false positives and simplest management. Barkly's patented approach to protection combines Responsive Machine Learning with runtime behavior analysis to block file-based, fileless, and exploit attacks.

Mighty AI, Inc. operates a Training Data as a Service platform that assists businesses in acquiring the datasets necessary to train and enhance their computer vision and natural language models. The company's platform features a global community of individuals who perform micro tasks, such as labeling objects in images and conducting sentiment analysis on text. By leveraging its proprietary machine learning technology and a comprehensive suite of annotation software, Mighty AI ensures high accuracy and scalability in the data it provides. Founded in 2014 and headquartered in Seattle, Washington, with an additional office in Detroit, Michigan, Mighty AI serves customers worldwide and specializes in delivering training data for companies developing computer vision models, particularly for autonomous vehicles. The company was previously known as Spare5 Inc. and became a subsidiary of Uber Technologies, Inc. in 2019.

Matroid is a computer vision company that provides a studio to create, combine, and use computer vision detectors, without programming. Its platform allows users to create computer vision detectors that recognize the people, events, and objects they are interested in, monitor television streams in real-time, send notifications about custom events on security cameras, and search visual media. Matroid was founded by Reza Zadeh in 2016 and is headquartered in Palo Alto, California.

Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.

Scoutible, Inc. operates a game-based hiring platform that utilizes immersive mobile games to identify suitable job candidates. Founded in 2015 and based in Walnut, California, the company employs patent-pending technology and machine learning algorithms to assess players' cognitive and personality traits during gameplay. This innovative approach allows Scoutible to match candidates' attributes with the characteristics of top performers within organizations, thereby streamlining the hiring process. Employers can effectively identify and communicate with qualified candidates while individuals can discover their strengths through gameplay.

Welltok is a data-driven enterprise SaaS company based in Denver, Colorado, focused on enhancing consumer engagement in health and wellness. Founded in 2009, Welltok's leading consumer activation platform enables health plans, employers, providers, and public entities to connect individuals with personalized health improvement resources. The company's platform leverages a large consumer database and machine learning to facilitate targeted actions, making it easier for consumers to engage in activities that promote their health and wellbeing. Through its innovative solutions, Welltok aims to incentivize and support users in optimizing their health outcomes.

MapR Technologies is a provider of a next-generation data platform designed to support AI and analytics for enterprises. The platform enables organizations to integrate analytics into their business processes, enhancing revenue, reducing costs, and addressing risks. MapR effectively manages the complexities associated with large-scale distributed processing, covering various environments from the cloud to edge computing and IoT analytics. The company's offerings include real-time database capabilities and enterprise-grade data protection, ensuring business continuity and facilitating the digital transformation of data across sectors such as marketing, security, and IT operations. A range of prominent companies, including Amazon, Cisco, Google, Microsoft, and SAP, rely on the MapR Data Platform to tackle their most intricate challenges in AI and analytics.

Pilot AI specializes in developing a deep-learning-based computer vision platform tailored for compute-constrained embedded devices. The company focuses on addressing practical problems faced by users in various sectors, particularly in consumer electronics and chip industries. By leveraging its technology, Pilot AI aims to enhance efficiency and decision-making for both individuals and businesses, helping them reduce reliance on manual tasks. The platform also provides benefits related to health and wellness, supporting users in navigating different aspects of their lives.

GrowingIO is a prominent analytics platform provider in China, established in May 2015 by Simon Zhang, Dingding Ye, Justin Chen, Yuanming Shan, and Jonathan Wu. Headquartered in Beijing, the company specializes in helping businesses drive growth through data insights. Its platform allows for comprehensive tracking of user behavior across applications, Mini programs (such as those on WeChat), and websites. By offering tools for rapid deployment and real-time data acquisition, GrowingIO enables companies to develop a complete data monitoring system. This facilitates efficient management of key business indicators and provides actionable insights that support data-driven decision-making and enhance overall business performance.

LinkDoc Technology Limited, founded in 2014 and headquartered in Beijing, China, specializes in medical data solutions and oncology-focused big data platforms. The company provides structured clinical data to oncology hospitals, aiding them in addressing various scientific and clinical challenges. Additionally, LinkDoc is committed to ensuring patient privacy and data security, adhering to standards set by the US HIPAA Act. The company focuses on delivering continuous care for patients with critical diseases and offers data-driven solutions that support life sciences companies and healthcare professionals in enhancing clinical research and facilitating real-world application of medical advancements.

Paysa is a company that provides a personalized platform for compensation transparency, helping employees understand their market value in terms of salary and career opportunities. Utilizing artificial intelligence and machine learning, Paysa offers insightful data on salaries and job positions, allowing users to compare internal job scales with local market rates. This enables employees to make informed decisions regarding their careers by exploring compensation across various companies and understanding their worth in the labor market. Through its services, Paysa aims to empower individuals to achieve fair compensation based on current market trends.

ClearMetal, Inc., based in San Francisco, California, specializes in artificial intelligence software for supply chain operations, focusing on transport and supply chain visibility solutions. Founded in 2014 by experts from Stanford University and leading technology companies, ClearMetal's platform leverages machine learning algorithms to enhance the accuracy and quality of ocean freight data. This cloud-based application consolidates and processes information from multiple sources, providing real-time insights into shipment status and enabling organizations to predict arrival times and manage exceptions effectively. By facilitating access to reliable data, ClearMetal aims to improve logistics efficiency and enhance customer experiences in supply chain management.

DataRobot, Inc. develops an automated machine learning platform that empowers enterprises to create predictive models efficiently. Its offerings include DataRobot Cloud, a predictive analytics solution available both in the cloud and on-premises, and DataRobot MLOps, which facilitates the deployment, monitoring, and management of machine learning models across organizations. The company also provides DataRobot Enterprise, featuring flexible deployment options, governance, and training services, along with packages designed to accelerate artificial intelligence projects. DataRobot serves a diverse range of industries, including banking, healthcare, manufacturing, and marketing, catering to business analysts, data scientists, and IT professionals. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot has expanded its operations globally, with offices in major cities such as London, Paris, and Tokyo, and maintains strategic partnerships to enhance its offerings.

OpsClarity is a performance monitoring solution for modern applications and data infrastructure that helps DevOps and engineering teams to continuously visualize, understand and troubleshoot their complex and distributed business-critical applications and infrastructure. Built by alumni from Yahoo, eBay, Facebook, Twitter and Google, OpsClarity is the only solution that can dynamically adapt to and learn every component of a company’s modern fast data application and infrastructure and extract key insights needed to maximize performance and agility..

DataVisor Inc. is a company specializing in fraud and financial crime detection solutions, established in 2013 and located in Mountain View, California. The firm employs advanced unsupervised machine learning technology to predict and identify attack vectors, effectively protecting large consumer-facing organizations from various digital threats. Its key products include dCube, which enables proactive fraud detection and prevention, and dVector, which enhances fraud management through accurate signal analysis. Additionally, dEdge collects real-time intelligence from connected devices to safeguard mobile and web applications against sophisticated attacks. DataVisor addresses a wide range of fraud types, including account takeovers, fake account creations, money laundering, and promotional abuse, serving industries such as financial services, retail, e-commerce, social platforms, and telecommunications. The company's innovative approach enables organizations to respond to rapidly evolving fraud tactics and mitigate risks in real time.

Mighty AI, Inc. operates a Training Data as a Service platform that assists businesses in acquiring the datasets necessary to train and enhance their computer vision and natural language models. The company's platform features a global community of individuals who perform micro tasks, such as labeling objects in images and conducting sentiment analysis on text. By leveraging its proprietary machine learning technology and a comprehensive suite of annotation software, Mighty AI ensures high accuracy and scalability in the data it provides. Founded in 2014 and headquartered in Seattle, Washington, with an additional office in Detroit, Michigan, Mighty AI serves customers worldwide and specializes in delivering training data for companies developing computer vision models, particularly for autonomous vehicles. The company was previously known as Spare5 Inc. and became a subsidiary of Uber Technologies, Inc. in 2019.

HaoMaiYi is a fashion company that offers branded clothing styles for individuals of all ages. The company has developed an artificial intelligence-based virtual dressing room that enhances the online shopping experience by simulating the in-store environment. This innovative dressing room utilizes machine learning technologies to analyze facial features and body attributes, allowing users to create a virtual representation of themselves. Customers can either auto-scan their bodies or manually input their height, weight, and select body features. The virtual dressing room then provides personalized shopping recommendations based on 3D modeling, facilitating a more tailored and interactive shopping experience.

Barkly is the endpoint protection platform that delivers the strongest protection with the fewest false positives and simplest management. Barkly's patented approach to protection combines Responsive Machine Learning with runtime behavior analysis to block file-based, fileless, and exploit attacks.

Tamr, Inc. is an enterprise data unification company that specializes in providing data management solutions. The company offers a platform that utilizes machine learning combined with human expertise to identify and integrate diverse internal and external data sources, thereby enabling organizations to manage siloed data effectively. Tamr's services include enterprise data preparation, clinical data conversion, procurement optimization, and customer data integration, catering to various sectors such as financial services, life sciences, government, and manufacturing. Founded in 2013 by experienced professionals in the database industry, Tamr is headquartered in Cambridge, Massachusetts, with additional offices in major cities including New York, Seattle, San Francisco, Washington, D.C., and London. The company aims to deliver valuable insights from data, supporting clients in achieving successful business outcomes.

Lattice Engines, Inc. is a software company that specializes in providing predictive applications for marketing and sales organizations. Founded in 2006 and headquartered in San Mateo, California, the company offers a range of solutions including Lattice Atlas, which uses artificial intelligence to connect various data sources and build audiences, and Lattice for Salesforce, which delivers analytics and insights for sales teams. Other notable products include Lattice for Marketo, which enhances marketing programs with predictive insights, and predictive lead scoring tools designed to identify high-potential leads. The company also offers applications for executing personalized marketing campaigns and strategies for customer retention and expansion. Lattice Engines emphasizes the use of machine learning to drive efficient marketing and sales performance by integrating internal and external data. In addition to its software solutions, the company provides professional curriculum services and maintains a strategic partnership with Engagio Inc. Lattice Engines operates as a subsidiary of The Dun & Bradstreet Corporation.