Insight Partners

Astronomer is a data engineering software company that builds a managed Apache Airflow platform. Founded in 2014 and based in Cincinnati, Astronomer offers Astro, a data orchestration platform powered by Apache Airflow that enables data teams to build, run, and observe data pipelines-as-code. The platform is designed to deploy, manage, and scale distributed Airflow workflows with features such as isolated resource allocation and controlled user access, supporting data engineers, data scientists, and data analysts in delivering trusted analytics. Astronomer's solutions help organizations increase data availability and visibility by making pipelines observable and governance-friendly across environments.

Buynomics GmbH, founded in 2018 and based in Cologne, Germany, specializes in developing and distributing advanced pricing machine software and related solutions. The company leverages artificial intelligence to transform available data into Virtual Customers, which accurately replicate the purchasing behaviors of real consumers. This innovative approach allows organizations in the consumer-packaged goods and telecommunications sectors to gain instant insights into customer preferences without the need for cumbersome analyses or unreliable focus groups. Buynomics’ platform enables Revenue Growth Management teams to optimize essential commercial decisions, including pricing, promotions, and product mix, by providing a comprehensive understanding of critical revenue levers. Through its holistic methodology, Buynomics delivers actionable insights that support profitable and sustainable business strategies.

VerAI Discoveries employs AI and machine learning to identify hidden mineral deposits. It focuses on underexplored areas with favorable mining conditions, enhancing discovery probabilities while reducing economic risks. The company collaborates with industry investors and explorers to develop a global portfolio of base and precious metal targets, contributing to the global critical minerals supply.

Prophecy.io offers a data transformation copilot that assists users in developing, deploying, and monitoring data pipelines across cloud platforms. The platform integrates AI and a visual interface to enhance productivity for various data users, enabling them to manage complex data workflows with ease.

Zest AI, Inc. is a technology company based in Burbank, California, that specializes in artificial intelligence solutions for credit underwriting. Founded in 2009 and formerly known as ZestFinance, the company has developed a platform that utilizes advanced machine learning techniques to enhance credit decision-making processes. Zest AI's Model Management System allows lenders to analyze extensive credit data, increasing approval rates while mitigating the risks associated with credit decisions. The platform also emphasizes transparency and compliance, enabling lenders to understand and explain their data modeling results effectively. Through its innovative technology, Zest AI aims to make credit more accessible and fair, helping lenders improve their decision-making and ultimately provide better loan options to a wider array of consumers. The company has a strategic partnership with Microsoft, which supports its mission to expand the availability of credit.

Fiddler Labs, Inc. is a company that specializes in developing an artificial intelligence platform designed to help businesses analyze, manage, and deploy their machine learning models effectively. Founded in 2018 and headquartered in Palo Alto, California, Fiddler offers an Explainable AI Engine that promotes transparency and understanding in AI solutions. This platform allows users across data science, product, and business teams to comprehend, validate, and manage their AI implementations, ensuring that these systems deliver reliable and trustworthy experiences for end-users. By providing statistical metrics, performance monitoring, and centralized controls, Fiddler aims to make AI more accessible and trustworthy for enterprises, ultimately unlocking the complexities of AI and enhancing user confidence in its applications.

Cosmo Tech is a global technology company founded in 2010 by Michel Morvan and Hugues de Bantel, based in Lyon, France. Originally known as The CoSMo Company, it specializes in modeling and simulating complex systems across various industries. The company's innovative software transforms raw data into organized knowledge, enabling clients to gain clear insights and run simulations on multiple scenarios to evaluate decision outcomes. This capability supports C-suite executives in making optimal business decisions in complex environments. Over the years, Cosmo Tech has garnered industry recognition, including accolades from Gartner and EY, and has expanded its operations to North America, establishing a presence in San Francisco. With a diverse team of over 70 employees, the company continues to serve clients in both Europe and North America.

Sensi.AI develops audio-based care intelligence technology for home care providers, acting as a 24/7 care copilot that analyzes voice data to form a holistic understanding of a senior's physical, emotional, and cognitive needs. The platform aims to improve care quality and operational efficiency by enabling continuous monitoring and alerts, including detection of abnormal patterns that could indicate changes in condition or potential maltreatment, with a focus on supporting families and caregivers in assessing service quality while preserving privacy.

MARKT-PILOT is a software developer that builds a product pricing platform for machine manufacturers’ spare parts business. The platform uses artificial intelligence to deliver market, price, and competitor transparency, enabling data‑driven strategic planning and revenue optimization.

Onum develops an edge computing platform for data orchestration. It collects, observes, and manages data in transit, offering anomaly detection, filtration, reduction, enrichment, and routing capabilities. This enables IT and security teams to make informed decisions and optimize data analytics costs.

Intenseye Inc. is a technology company based in San Jose, California, specializing in an AI-powered video analytics platform designed to enhance health and safety in workplace environments. Founded in 2018, Intenseye's platform utilizes advanced computer vision and machine learning to analyze real-time video feeds from existing cameras, enabling clients to monitor workplace conditions continuously. The system provides automated inspections and immediate notifications of safety violations, such as improper use of personal protective equipment or hazardous behaviors. By focusing on privacy, Intenseye ensures that the visual data processed does not include personally identifiable information. The company's solutions are particularly beneficial for large enterprises seeking to improve employee safety while minimizing accidents and operational errors.

Alteryx, Inc. is a leading provider of end-to-end analytics software designed for data analysts and scientists globally. Founded in 1997 and headquartered in Irvine, California, Alteryx offers a comprehensive platform that includes tools for data preparation, blending, and analytics. Key products include Alteryx Designer, which allows users to create visual workflows without coding; Alteryx Server, a solution for scheduling and sharing analytic processes; and Alteryx Connect, a collaborative platform for data exploration and sharing insights within organizations. Additionally, Alteryx Promote facilitates the management and deployment of predictive models, while Alteryx Analytics Gallery serves as a cloud-based collaboration hub for sharing workflows. The company supports over 3,500 customers, ranging from major global brands to smaller organizations, helping them leverage data for competitive advantage. Alteryx's software automates data engineering, analytics, reporting, and machine learning processes, thereby democratizing data analytics across various use cases.

Relevance AI provides a platform to design and deploy AI agents and manage an AI workforce to automate repetitive reasoning tasks across marketing, sales, research, and operations. Its AI Tools integrate into existing workflows to automate routine tasks, while AI Agents enable end-to-end automation of complex processes. The platform is designed to help teams extract actionable business insights from unstructured data, including text and images, by organizing AI work in a visual interface. Relevance AI targets operations and business teams, aiming to reduce reliance on extensive developer resources and to drive efficiency through automation and data-driven decision making.

Rohirrim is a generative AI platform that specializes in document understanding, allowing organizations to effectively manage and query extensive data catalogs, including presentations, reports, and communications. The platform utilizes a domain-aware artificial intelligence to automate the generation of compliant requests for proposal (RFP) responses. By producing initial drafts that adhere to specific requirements and reference source documents, Rohirrim enhances operational efficiency for businesses, ultimately reducing costs and boosting productivity. The platform is designed to generate high-quality, technical content while ensuring that all information is grounded in verified sources, making it a valuable tool for enterprises seeking to streamline their proposal processes.

Covera Health is a clinical analytics company that develops a radiology quality analytics and improvement platform to reduce diagnostic errors in medical imaging. Its platform analyzes clinical data to measure radiology performance, identify patterns of misdiagnosis, and guide targeted quality improvement initiatives. The company collaborates with doctors, payers, and employers to enable high-quality care, improve patient outcomes, and reduce unnecessary healthcare spending.

Prophecy.io offers a data transformation copilot that assists users in developing, deploying, and monitoring data pipelines across cloud platforms. The platform integrates AI and a visual interface to enhance productivity for various data users, enabling them to manage complex data workflows with ease.

Idoven develops an AI-powered cardiology-as-a-service platform that enhances the diagnostic capabilities of cardiologists and non-cardiology clinicians. It partners with prominent organizations like AstraZeneca, Abbott, and GE Healthcare to improve patient care. Idoven has received significant recognition for its innovative technology, including awards from the European Innovation Council and CB Insights.

IVIX operates a platform designed to assist tax authorities in combating tax evasion. It uses AI-driven technology to synthesize internal data and publicly available information, identifying instances of tax evasion and providing continuous visibility into the shadow economy.

Sylvera is a carbon data provider based in London, United Kingdom, established in 2020. The company specializes in developing machine learning-based tools to monitor the performance of carbon offset projects. These tools enable remote tracking of project performance at intervals of up to a week, facilitating the integration of carbon data into both internal and external reporting frameworks. By offering enhanced transparency around carbon offsets, Sylvera aims to assist businesses and governments in reducing reputational risks associated with carbon emissions, ultimately promoting real-world climate action.

Flagship develops a SaaS data science solution that brings predictive machine-learning intelligence to retail. Its centralized platform helps businesses make timely, data-driven decisions across internal stakeholders and channels. Flagship enriches retail brands' first-party data with machine learning algorithms to optimize customer retention, inventory sell-through, and revenue.

Onum develops an edge computing platform for data orchestration. It collects, observes, and manages data in transit, offering anomaly detection, filtration, reduction, enrichment, and routing capabilities. This enables IT and security teams to make informed decisions and optimize data analytics costs.

Visual Layer is a Tel Aviv-based startup that offers a visual data management platform capable of handling billions of images and videos. The platform is designed to manage and curate image and video datasets with exceptional speed and quality. Utilizing a proprietary graph engine, Visual Layer automatically identifies data quality issues such as corrupted images, incorrect labels, and outliers. It also provides corrective suggestions to ensure the integrity of datasets, allowing clients to maintain optimal data performance and accuracy.

Honeycomb is a software company that specializes in full-stack observability for engineering teams, enabling them to understand, debug, and enhance their production systems. Founded in 2016 and based in San Francisco, California, Honeycomb's platform allows users to visualize and query various metrics, facilitating the identification of trends and summarizing results for deeper insights into complex systems. Its tools support fast incident response and system optimization, helping teams deliver efficient software releases. By empowering engineers to instrument and analyze system behavior, Honeycomb aims to improve the overall software engineering process, ultimately leading to greater satisfaction for both developers and end-users.

Safebooks AI specializes in providing an AI-driven platform for businesses, focusing on automating the verification of financial data. This platform ensures 100% accuracy in financial data, helping enterprises to prevent fraud, automate repetitive tasks, and securely monitor their financial data in a swift manner.

Founded in 2018, Acceldata develops an enterprise data observability platform designed to help businesses build and operate great data products. Its platform offers services including data warehousing, security, preparation, IoT for consumer and commercial applications, and acquisition, enabling clients to stream, collect, process data, build data clusters, view insights, optimize workflows, and proactively manage performance, security, and data quality.

Dataiku develops a centralized data platform that empowers businesses to navigate their data journey, from analytics at scale to enterprise AI. Its platform fosters collaboration among data experts and explorers, providing a repository of best practices, streamlined machine learning deployment, and a controlled environment. Established in 2013, Dataiku is headquartered in New York with offices in Paris and London.

Buynomics GmbH, founded in 2018 and based in Cologne, Germany, specializes in developing and distributing advanced pricing machine software and related solutions. The company leverages artificial intelligence to transform available data into Virtual Customers, which accurately replicate the purchasing behaviors of real consumers. This innovative approach allows organizations in the consumer-packaged goods and telecommunications sectors to gain instant insights into customer preferences without the need for cumbersome analyses or unreliable focus groups. Buynomics’ platform enables Revenue Growth Management teams to optimize essential commercial decisions, including pricing, promotions, and product mix, by providing a comprehensive understanding of critical revenue levers. Through its holistic methodology, Buynomics delivers actionable insights that support profitable and sustainable business strategies.

Zest AI, Inc. is a technology company based in Burbank, California, that specializes in artificial intelligence solutions for credit underwriting. Founded in 2009 and formerly known as ZestFinance, the company has developed a platform that utilizes advanced machine learning techniques to enhance credit decision-making processes. Zest AI's Model Management System allows lenders to analyze extensive credit data, increasing approval rates while mitigating the risks associated with credit decisions. The platform also emphasizes transparency and compliance, enabling lenders to understand and explain their data modeling results effectively. Through its innovative technology, Zest AI aims to make credit more accessible and fair, helping lenders improve their decision-making and ultimately provide better loan options to a wider array of consumers. The company has a strategic partnership with Microsoft, which supports its mission to expand the availability of credit.

DataSnipper is a technology company that develops an AI-powered intelligent automation platform for auditors. Its platform specializes in automating and documenting tests of details, controls, walkthroughs, and financial statement procedures, enhancing audit efficiency and quality.

Fairmarkit is a Boston‑based company that offers a SaaS platform for tail spend management. The platform is ERP‑agnostic and automates procurement for small to medium purchases by using machine learning to analyze unstructured spend data. It provides automated request‑for‑quotation workflows, vendor recommendations, price benchmarking, trend analysis, and risk identification. By delivering these capabilities in a single, cloud‑based solution, Fairmarkit helps procurement and supply‑chain teams reduce manual effort, increase competitive bidding, and realize savings across their tail spend.

Afresh Technologies designs AI-powered supply chain software for fresh groceries. The platform forecasts item-level demand for perishable goods and provides data-driven recommendations to optimize inventory and procurement, reduce waste, maximize freshness, and improve margin. It covers warehouse and store-level inventory, pricing, markdowns, and omnichannel visibility, enabling retailers to manage perishable categories across stores. Founded in 2017 and based in San Francisco, Afresh serves grocers and wholesalers aiming to optimize perishables with machine learning, ingesting millions of data points to inform replenishment decisions and allocation across the distribution network.

Idoven develops an AI-powered cardiology-as-a-service platform that enhances the diagnostic capabilities of cardiologists and non-cardiology clinicians. It partners with prominent organizations like AstraZeneca, Abbott, and GE Healthcare to improve patient care. Idoven has received significant recognition for its innovative technology, including awards from the European Innovation Council and CB Insights.

Middesk, Inc., founded in 2018 and based in San Francisco, California, is an identity platform that specializes in automating business verification and enhancing decision-making processes for organizations. The company's platform offers comprehensive data on various businesses, allowing service providers to monitor changes in their customer base and gain a clearer understanding of client needs. By centralizing the credentialing process, Middesk enables companies to effectively manage risk and compliance with minimal friction, thus streamlining onboarding and increasing operational efficiency. Through its services, Middesk supports businesses in establishing, operating, and maintaining compliance with contractual and regulatory requirements.

Devo Inc., established in 2011 with headquarters in Cambridge, Massachusetts, specializes in developing a cloud-native platform for centralized log management. The company offers Devo, a multi-tenant enterprise solution that collects machine data from diverse sources, enabling real-time analytics and insights into applications, infrastructure, and business systems through built-in applications, dashboards, and alerts. Additionally, Devo provides Data Operations for data collection and management, Service Operations for application monitoring, and Machine Learning Workbench for data science teams. Its products cater to various use cases such as threat detection, centralized log management, and AIOps, serving clients in financial services, retail, telecommunications, and software industries.

Kpler provides a subscription-based data and analytics platform delivering real-time market intelligence for commodities and their transportation. It tracks cargo movements and has been a leader in LNG cargo tracking, with coverage spanning liquids, dry bulk, freight, and inventories. The platform aggregates data from AIS signals, satellite imagery, logistics records, market reports, and governmental and shipping databases to give trading houses, industrials, shipping operators, and financial institutions visibility into the physical reality of commodity markets. Through strategic acquisitions, Kpler has expanded its data and analytics capabilities, integrating maritime analytics and ship-tracking assets to strengthen its offerings. The company operates globally and employs more than 500 people.

Kubit is a pioneering company in the product analytics sector, offering a no-code platform that empowers product teams to perform self-service analytics efficiently. By enabling users to gain insights into user behavior, measure marketing campaigns, and conduct A/B tests in real time, Kubit enhances engagement and retention strategies. The company's innovative No-ETL approach provides a significant architectural advantage, allowing customers greater control over their data. Powered by artificial intelligence, Kubit's tools facilitate data discovery and enable users to build predictive models, integrate with collaborative workspaces, and make informed business decisions. Through these capabilities, Kubit aims to democratize access to analytics and insights, making them accessible to a broader audience.

Astronomer is a data engineering software company that builds a managed Apache Airflow platform. Founded in 2014 and based in Cincinnati, Astronomer offers Astro, a data orchestration platform powered by Apache Airflow that enables data teams to build, run, and observe data pipelines-as-code. The platform is designed to deploy, manage, and scale distributed Airflow workflows with features such as isolated resource allocation and controlled user access, supporting data engineers, data scientists, and data analysts in delivering trusted analytics. Astronomer's solutions help organizations increase data availability and visibility by making pipelines observable and governance-friendly across environments.

Run:AI is a technology company based in Tel-Aviv, Israel, founded in 2018. The company specializes in developing application software that creates an abstraction layer for analyzing computational workloads and optimizing their execution through graph-based parallel computing algorithms. Run:AI's platform streamlines AI infrastructure management by enabling efficient resource allocation, particularly for GPUs and other hardware used in AI projects. Its tools facilitate workload scheduling and resource pooling, allowing organizations to enhance their AI capabilities and accelerate development cycles. By leveraging deep learning and parallel computing technologies, Run:AI provides a high-performance compute virtualization layer that optimizes and manages training workloads, ultimately helping clients reduce inefficiencies and conduct experiments more cost-effectively.

Founded in 2018, Promethium develops AI-powered augmented data management software for enterprises. Its solutions enable data analysts to automatically discover, validate, assemble, and access data across multiple repositories using natural language processing and automated data prep. This facilitates self-service analytics, data discovery, data assembly, and DataOps.

Founded in 2019, RudderStack provides an open-source, enterprise-ready platform for collecting, storing, and routing customer event data. It enables engineers, product managers, data scientists, and marketers to consolidate and extract value from customer data across apps, websites, and data warehouses.

Pecan offers a low-code predictive analytics and data science platform that enables business intelligence, operations, and revenue teams to forecast outcomes without requiring data scientists. The platform simplifies data preparation, automates feature engineering, and provides prebuilt templates and models, allowing SQL-trained analysts to build accurate predictions in days. By turning data into foresight, Pecan helps improve metrics such as customer lifetime value, retention, conversion, and demand forecasting across industries including fintech, insurance, retail, consumer packaged goods, mobile apps, and consumer services. The solution emphasizes easy data connection, automated model training with proprietary algorithms, and actionable recommendations on where to take action, reducing reliance on specialized data science staff and accelerating decision making.

Vanti AI operates a self-service, no-code data science platform designed for non-data scientists, primarily serving the manufacturing and production sectors. Based in Tel Aviv, Israel, the platform facilitates data extraction and integration, allowing users to generate actionable insights without the need for coding skills. By leveraging intuitive technology, Vanti AI empowers users to implement predictive and maintenance models, thereby enhancing production yield, product quality, and process efficiency. This enables manufacturers to achieve their productivity goals and improve profitability, while also providing opportunities for continuous improvement and manufacturing agility in a timely manner.

DigitalOwl is an InsurTech platform that helps insurance professionals efficiently analyze complex medical data to derive actionable insights. Utilizing proprietary Generative AI and a comprehensive Medical Knowledge Base, the platform enhances the review of medical records by contextualizing medical nuances, which aids in informed decision-making. DigitalOwl's technology streamlines various processes, including underwriting, post-issue audits, and claims processing, significantly improving the speed and accuracy of risk assessment. By automating the review of medical documents, the platform eliminates repetitive tasks, allowing businesses to focus on more critical operations. DigitalOwl is positioned to revolutionize the insurance industry, providing innovative solutions that unlock new possibilities for its users.

Founded in 2015, Dremio develops a data lake engine that accelerates analytical processing for business intelligence tools, data science, machine learning, and SQL clients. Its platform enables self-service analytics by delivering query speed and a semantic layer operating directly against the data lake storage.

Sylvera is a carbon data provider based in London, United Kingdom, established in 2020. The company specializes in developing machine learning-based tools to monitor the performance of carbon offset projects. These tools enable remote tracking of project performance at intervals of up to a week, facilitating the integration of carbon data into both internal and external reporting frameworks. By offering enhanced transparency around carbon offsets, Sylvera aims to assist businesses and governments in reducing reputational risks associated with carbon emissions, ultimately promoting real-world climate action.

Prophecy.io offers a data transformation copilot that assists users in developing, deploying, and monitoring data pipelines across cloud platforms. The platform integrates AI and a visual interface to enhance productivity for various data users, enabling them to manage complex data workflows with ease.

Turing Labs Inc. is an innovative company that specializes in artificial intelligence solutions for the consumer packaged goods (CPG) industry. Founded in 2019 and headquartered in New York, with an additional office in Burlington, Canada, Turing Labs has developed a platform that significantly accelerates the research and development process for CPG companies. This platform enables R&D teams to formulate, test, and package consumer products more efficiently by utilizing historical data to simulate various product combinations and outcomes without the need for physical trials. By integrating advanced data analytics and human intelligence, Turing Labs helps clients optimize product variants, identify areas requiring further research, and adapt to evolving consumer preferences, thereby enhancing speed-to-market for new and existing products.

Carto is a location intelligence platform that turns spatial data into actionable insights for logistics, marketing, and site optimization. The cloud-based mapping, analysis, and visualization engine enables data scientists, developers, and analysts to treat location as an active analytical dimension, solving spatial problems, optimizing business processes, and predicting outcomes. Founded in 2012 and headquartered in New York City, Carto operates with offices in Madrid, Seville, and Washington, DC, and serves thousands of customers worldwide, including Mastercard, Vodafone, Bain & Company, and Coca-Cola, with hundreds of thousands of users. The company is backed by leading venture investors Accel Partners, Salesforce Ventures, Earlybird Ventures, and Kibo Ventures, underscoring its position in location intelligence.

Relevance AI provides a platform to design and deploy AI agents and manage an AI workforce to automate repetitive reasoning tasks across marketing, sales, research, and operations. Its AI Tools integrate into existing workflows to automate routine tasks, while AI Agents enable end-to-end automation of complex processes. The platform is designed to help teams extract actionable business insights from unstructured data, including text and images, by organizing AI work in a visual interface. Relevance AI targets operations and business teams, aiming to reduce reliance on extensive developer resources and to drive efficiency through automation and data-driven decision making.

Klir Inc., also known as Klir, is a technology company that specializes in compliance management solutions for water providers. Founded in 2018 and headquartered in Wilmington, Delaware, with additional offices in Toronto and Dublin, Klir offers a web-based platform that centralizes the gathering, monitoring, and analysis of regulatory compliance data. This integrated solution is designed to assist water utilities in managing sampling, operational, and compliance information effectively. It features built-in collaboration tools and task documentation, enabling water utility businesses to address environmental and human health risks efficiently. Klir's platform aims to enhance the safety and reliability of water supplies by streamlining regulatory compliance processes for water utilities worldwide.

Laminar is a company that specializes in data leakage protection for cloud environments. Its Cloud Data Security Platform offers continuous discovery and classification of data, providing full visibility into data flows. This solution enables organizations to secure and control their data, improving their risk posture while allowing for real-time leak detection and remediation without disrupting data operations. Laminar's technology supports agentless and asynchronous monitoring of various data sources and egress channels, ensuring authorized data movements and alerting users to potential issues. Founded in 2020 by a team of experienced cybersecurity professionals, Laminar aims to help businesses adapt to cloud-native environments by enhancing data governance and privacy monitoring, ultimately allowing them to reduce their attack surface and regain control over their data.

Landing AI is a company that specializes in artificial intelligence transformation programs tailored for the manufacturing industry. Founded in 2017 and based in Palo Alto, California, the company develops solutions focused on visual inspection, automation, calibration, and automated issue identification. Its offerings cater to a diverse range of sectors, including manufacturing, retail, automotive, agriculture, telecommunications, and pharmaceuticals. The company aims to empower organizations to become AI-driven by providing a platform that enhances the accuracy of machine learning models through effective data generation and labeling. This platform helps identify environmental issues and alerts users to model changes, thereby facilitating efficient data management and accelerating troubleshooting processes. Founded by Dr. Andrew Ng, a prominent figure in AI, Landing AI is positioned to deliver practical AI solutions that drive value for businesses globally.

Devo Inc., established in 2011 with headquarters in Cambridge, Massachusetts, specializes in developing a cloud-native platform for centralized log management. The company offers Devo, a multi-tenant enterprise solution that collects machine data from diverse sources, enabling real-time analytics and insights into applications, infrastructure, and business systems through built-in applications, dashboards, and alerts. Additionally, Devo provides Data Operations for data collection and management, Service Operations for application monitoring, and Machine Learning Workbench for data science teams. Its products cater to various use cases such as threat detection, centralized log management, and AIOps, serving clients in financial services, retail, telecommunications, and software industries.

Honeycomb is a software company that specializes in full-stack observability for engineering teams, enabling them to understand, debug, and enhance their production systems. Founded in 2016 and based in San Francisco, California, Honeycomb's platform allows users to visualize and query various metrics, facilitating the identification of trends and summarizing results for deeper insights into complex systems. Its tools support fast incident response and system optimization, helping teams deliver efficient software releases. By empowering engineers to instrument and analyze system behavior, Honeycomb aims to improve the overall software engineering process, ultimately leading to greater satisfaction for both developers and end-users.

Zuva is a company that specializes in document intelligence technology, aimed at enhancing business decision-making through a deeper understanding of document details. By leveraging artificial intelligence, Zuva's technology classifies documents and extracts key clauses from business contracts, even when they are written in non-standard natural language. This capability enables organizations to make more informed decisions and unlock the true value of their documents.

Tonic.ai is a synthetic data platform that creates mock data while maintaining the essential characteristics of secure datasets, including structure, distributions, interdependencies, and statistical correlations. Founded in 2018 and headquartered in San Francisco, California, with an additional office in Atlanta, Georgia, Tonic.ai enables software engineers, business analysts, and salespeople to access usable data without compromising privacy or breaching compliance with organizational policies. The platform transforms raw data into manageable, private datasets, facilitating analytics and software development while ensuring data security through features such as auditing capabilities and human-readable fingerprints. By providing a means to work with data safely, Tonic.ai helps its users unlock insights and drive innovation without risking customer trust.

Founded in 2018, Acceldata develops an enterprise data observability platform designed to help businesses build and operate great data products. Its platform offers services including data warehousing, security, preparation, IoT for consumer and commercial applications, and acquisition, enabling clients to stream, collect, process data, build data clusters, view insights, optimize workflows, and proactively manage performance, security, and data quality.

Intenseye Inc. is a technology company based in San Jose, California, specializing in an AI-powered video analytics platform designed to enhance health and safety in workplace environments. Founded in 2018, Intenseye's platform utilizes advanced computer vision and machine learning to analyze real-time video feeds from existing cameras, enabling clients to monitor workplace conditions continuously. The system provides automated inspections and immediate notifications of safety violations, such as improper use of personal protective equipment or hazardous behaviors. By focusing on privacy, Intenseye ensures that the visual data processed does not include personally identifiable information. The company's solutions are particularly beneficial for large enterprises seeking to improve employee safety while minimizing accidents and operational errors.

DeepFactor is a cloud native application security platform that focuses on helping developers identify and address security vulnerabilities, supply chain risks, and compliance issues throughout the development process. The platform offers a comprehensive suite of tools, including artifact scanning and runtime visibility, which allows it to monitor applications without requiring any code changes. DeepFactor's technology integrates seamlessly with cloud native architectures to provide real-time telemetry and identify potential security risks. By delivering prioritized, contextual insights into security, performance, and application behavior, DeepFactor simplifies the operations of engineering teams. Its features support pre-production monitoring and runtime analysis, facilitating the integration of application security into the continuous integration and deployment pipeline, thereby promoting the adoption of DevSecOps practices within modern enterprises.

Databricks offers a unified data analytics platform that simplifies data integration, enables real-time experimentation, and facilitates robust deployment of production applications for developers and data scientists. Serving diverse industries worldwide, Databricks' platform supports collaborative data science, machine learning workflows, and integrates with various cloud services.

Covera Health is a clinical analytics company that develops a radiology quality analytics and improvement platform to reduce diagnostic errors in medical imaging. Its platform analyzes clinical data to measure radiology performance, identify patterns of misdiagnosis, and guide targeted quality improvement initiatives. The company collaborates with doctors, payers, and employers to enable high-quality care, improve patient outcomes, and reduce unnecessary healthcare spending.

Monolith AI Limited is a software company based in London, United Kingdom, founded in 2016. The company specializes in developing algorithms that integrate engineering simulations with machine learning techniques to enhance the engineering design process. By leveraging existing simulation and test data, Monolith AI enables engineers to predict the behavior of new products more accurately, thereby optimizing research and development efforts. This approach reduces the need for extensive simulations, tests, and prototypes, allowing companies to accelerate product development and improve overall product quality. Monolith AI was previously known as UQuant Limited until it rebranded in June 2018.

Own Company is a software enterprise that specializes in cloud data protection solutions. It provides a comprehensive data platform designed to safeguard and activate Software as a Service (SaaS) data, facilitating operational transformation for businesses. The platform features a cloud-to-cloud backup and restore system that ensures automated and daily backups of SaaS and Platform as a Service (PaaS) data. Additionally, it includes tools for data comparison and restoration, allowing organizations to effectively manage data loss and corruption crises. By prioritizing the security of critical cloud data, Own Company helps businesses optimize their disaster recovery processes.

Dataiku develops a centralized data platform that empowers businesses to navigate their data journey, from analytics at scale to enterprise AI. Its platform fosters collaboration among data experts and explorers, providing a repository of best practices, streamlined machine learning deployment, and a controlled environment. Established in 2013, Dataiku is headquartered in New York with offices in Paris and London.

ScreenPoint Medical develops artificial intelligence software for breast imaging, including Transpara, to assist radiologists in reading digital breast tomosynthesis and mammography. The company focuses on deep learning and image analysis for automated interpretation of breast scans, leveraging large curated image databases and an understanding of mammography physics and clinical deployment. Its technology aims to improve early cancer detection, increase diagnostic consistency, and reduce unnecessary recalls, helping physicians screen for breast cancer earlier and enable less invasive treatment options.

Rasgo is a developer of a feature store workflow platform that focuses on streamlining data processes for businesses. By eliminating inconsistencies in metrics, Rasgo enables data consumers to discover, explore, create, and monitor standardized business metrics essential for their operations. The platform facilitates data acquisition, integration, and feature engineering, allowing data scientists to operate more efficiently and deliver value effectively. The company serves a variety of industries, including Finance, Manufacturing, Biotech, Retail, and Alternative Energy, and has achieved over $25 million in Series A funding. With a fully remote work environment and a people-first culture, Rasgo has assembled a talented team with experience from leading organizations in the data field.

Fiddler Labs, Inc. is a company that specializes in developing an artificial intelligence platform designed to help businesses analyze, manage, and deploy their machine learning models effectively. Founded in 2018 and headquartered in Palo Alto, California, Fiddler offers an Explainable AI Engine that promotes transparency and understanding in AI solutions. This platform allows users across data science, product, and business teams to comprehend, validate, and manage their AI implementations, ensuring that these systems deliver reliable and trustworthy experiences for end-users. By providing statistical metrics, performance monitoring, and centralized controls, Fiddler aims to make AI more accessible and trustworthy for enterprises, ultimately unlocking the complexities of AI and enhancing user confidence in its applications.

Brinqa is a developer of an attack surface intelligence platform that addresses the entire cyber risk lifecycle. It enables organizations to understand their attack surface, prioritize vulnerabilities, automate remediation processes, and maintain continuous monitoring of cyber hygiene across all security programs. By connecting relevant security and business data, Brinqa establishes a common data ontology that enhances decision-making in cybersecurity and informs risk management strategies. This unified platform allows clients to standardize data management and analysis, deliver actionable insights, and hold risk owners accountable for resolving critical issues. Through its comprehensive approach, Brinqa empowers organizations to effectively manage and track vulnerabilities, facilitating a more proactive and informed cybersecurity posture.

Explorium Ltd. is a data science company based in Tel Aviv, Israel, that focuses on enhancing predictive model building through its artificial intelligence-driven platform. Established in 2017, the company specializes in automating data integration, enrichment, and feature engineering, allowing data specialists to efficiently construct machine learning models. The platform dynamically combines a company's internal data with a multitude of external sources, facilitating the discovery of relevant features necessary for accurate predictions. Explorium's solutions find applications across various sectors, including e-commerce, retail, financial services, marketing, and operations, helping organizations unlock data silos and optimize datasets for improved decision-making and lead generation.

MaterialsZone Ltd. is based in Tel Aviv, Israel, and specializes in creating a materials discovery platform that aggregates research and production data from various laboratories worldwide. This platform fosters collaboration among researchers, industry professionals, and service providers by structuring and streamlining data for efficient access and use. MaterialsZone's solution enhances research and development processes by employing machine learning and materials informatics to forecast outcomes, enabling users to discover new materials and optimize production models. The platform facilitates the scaling and testing of these models, which helps design cost-effective and resilient production lines while minimizing failures through predictive analytics. Overall, MaterialsZone aims to accelerate innovation in material science by enabling meaningful insights and better decision-making across the industry.

Privacera, Inc. is a data security and governance company that offers a software-as-a-service platform designed to help enterprises discover, manage, and monitor sensitive data across various systems. Founded in 2016 and based in Fremont, California, Privacera provides a comprehensive solution that utilizes artificial intelligence to automate the discovery and classification of sensitive information. Its platform supports data sharing while ensuring compliance with regulatory requirements, including the General Data Protection Regulation. Privacera's technology aggregates access history from multiple sources into a unified dashboard, enabling security and compliance teams to monitor data usage effectively. The company serves a diverse clientele, including Fortune 500 companies in sectors such as finance, insurance, retail, and media, facilitating high-fidelity policy management at scale across both cloud and on-premises environments. Privacera was previously known as Global Tenet, Inc. until its rebranding in October 2019.

Identiq is a startup founded in 2018 in Tel Aviv, focused on transforming the identity verification market, valued at $12 billion. The company has developed an innovative protocol that allows for the validation of new end-users without requiring the exposure of any sensitive customer data. By leveraging a network of like-minded companies, Identiq creates the first fully anonymous identity verification network, enabling businesses to onboard customers with greater confidence. This approach minimizes false positives, enhances approval rates, and improves overall user experience. The technology is applicable for various use cases, including funding source validation, fast withdrawals, and password recovery, addressing high-risk activities without compromising user privacy. The team at Identiq consists of experienced professionals from high-tech and risk management sectors, each bringing over 20 years of expertise to the company.

Own Company is a software enterprise that specializes in cloud data protection solutions. It provides a comprehensive data platform designed to safeguard and activate Software as a Service (SaaS) data, facilitating operational transformation for businesses. The platform features a cloud-to-cloud backup and restore system that ensures automated and daily backups of SaaS and Platform as a Service (PaaS) data. Additionally, it includes tools for data comparison and restoration, allowing organizations to effectively manage data loss and corruption crises. By prioritizing the security of critical cloud data, Own Company helps businesses optimize their disaster recovery processes.

SetSail Technologies provides an AI-powered platform for sales performance management and insights. It leverages machine learning and natural language processing to analyze customer sentiment, identify buying signals, and monitor deal progress, delivering real-time visibility into pipeline health. The system combines data and behavioral science to pinpoint productive actions and rewards, offering actionable guidance to sales representatives, managers, and executives to improve revenue. By automatically capturing and enriching data, it reduces dependence on CRM hygiene and supports consistent selling behavior through recommendations and micro-rewards aligned with true deal progress. Founded in 2018 and headquartered in San Mateo, California.

Run:AI is a technology company based in Tel-Aviv, Israel, founded in 2018. The company specializes in developing application software that creates an abstraction layer for analyzing computational workloads and optimizing their execution through graph-based parallel computing algorithms. Run:AI's platform streamlines AI infrastructure management by enabling efficient resource allocation, particularly for GPUs and other hardware used in AI projects. Its tools facilitate workload scheduling and resource pooling, allowing organizations to enhance their AI capabilities and accelerate development cycles. By leveraging deep learning and parallel computing technologies, Run:AI provides a high-performance compute virtualization layer that optimizes and manages training workloads, ultimately helping clients reduce inefficiencies and conduct experiments more cost-effectively.

Founded in 2015, Dremio develops a data lake engine that accelerates analytical processing for business intelligence tools, data science, machine learning, and SQL clients. Its platform enables self-service analytics by delivering query speed and a semantic layer operating directly against the data lake storage.

Fairmarkit is a Boston‑based company that offers a SaaS platform for tail spend management. The platform is ERP‑agnostic and automates procurement for small to medium purchases by using machine learning to analyze unstructured spend data. It provides automated request‑for‑quotation workflows, vendor recommendations, price benchmarking, trend analysis, and risk identification. By delivering these capabilities in a single, cloud‑based solution, Fairmarkit helps procurement and supply‑chain teams reduce manual effort, increase competitive bidding, and realize savings across their tail spend.

Zest AI, Inc. is a technology company based in Burbank, California, that specializes in artificial intelligence solutions for credit underwriting. Founded in 2009 and formerly known as ZestFinance, the company has developed a platform that utilizes advanced machine learning techniques to enhance credit decision-making processes. Zest AI's Model Management System allows lenders to analyze extensive credit data, increasing approval rates while mitigating the risks associated with credit decisions. The platform also emphasizes transparency and compliance, enabling lenders to understand and explain their data modeling results effectively. Through its innovative technology, Zest AI aims to make credit more accessible and fair, helping lenders improve their decision-making and ultimately provide better loan options to a wider array of consumers. The company has a strategic partnership with Microsoft, which supports its mission to expand the availability of credit.

Devo Inc., established in 2011 with headquarters in Cambridge, Massachusetts, specializes in developing a cloud-native platform for centralized log management. The company offers Devo, a multi-tenant enterprise solution that collects machine data from diverse sources, enabling real-time analytics and insights into applications, infrastructure, and business systems through built-in applications, dashboards, and alerts. Additionally, Devo provides Data Operations for data collection and management, Service Operations for application monitoring, and Machine Learning Workbench for data science teams. Its products cater to various use cases such as threat detection, centralized log management, and AIOps, serving clients in financial services, retail, telecommunications, and software industries.

Own Company is a software enterprise that specializes in cloud data protection solutions. It provides a comprehensive data platform designed to safeguard and activate Software as a Service (SaaS) data, facilitating operational transformation for businesses. The platform features a cloud-to-cloud backup and restore system that ensures automated and daily backups of SaaS and Platform as a Service (PaaS) data. Additionally, it includes tools for data comparison and restoration, allowing organizations to effectively manage data loss and corruption crises. By prioritizing the security of critical cloud data, Own Company helps businesses optimize their disaster recovery processes.

Founded in 2015, Dremio develops a data lake engine that accelerates analytical processing for business intelligence tools, data science, machine learning, and SQL clients. Its platform enables self-service analytics by delivering query speed and a semantic layer operating directly against the data lake storage.

StormForge, founded in 2015, is a technology company that builds an AI‑powered platform for data‑center and application performance optimization. The platform blends deep reinforcement learning, advanced data science and augmented intelligence to help DevOps teams release software with confidence and enable IT leaders to achieve faster, higher‑quality, more resilient and efficient cloud‑native operations. By combining machine and human intelligence, StormForge’s solutions deliver significant energy‑efficiency gains, cost reductions and uptime improvements for complex IT environments. The company operates from offices in Cambridge, Massachusetts, Washington, D.C., and Cologne, Germany.

Covera Health is a clinical analytics company that develops a radiology quality analytics and improvement platform to reduce diagnostic errors in medical imaging. Its platform analyzes clinical data to measure radiology performance, identify patterns of misdiagnosis, and guide targeted quality improvement initiatives. The company collaborates with doctors, payers, and employers to enable high-quality care, improve patient outcomes, and reduce unnecessary healthcare spending.

Sisense is a software company that develops data and business analytics software to help organizations manage and analyze large, complex data sets. Its flagship BI platform enables users to join data from multiple sources, explore it with visual dashboards, and share insights across teams. The product acts as a data engine for designing dashboards, enabling embedding analytics, and supporting natural-language data exploration and automatically generated summaries. It aims to empower non-technical users to build analytic applications and derive actionable information for internal and external stakeholders. The company also offers technical support and professional services and serves a range of industries from startups to large enterprises, with global offices in multiple regions.

Fairmarkit is a Boston‑based company that offers a SaaS platform for tail spend management. The platform is ERP‑agnostic and automates procurement for small to medium purchases by using machine learning to analyze unstructured spend data. It provides automated request‑for‑quotation workflows, vendor recommendations, price benchmarking, trend analysis, and risk identification. By delivering these capabilities in a single, cloud‑based solution, Fairmarkit helps procurement and supply‑chain teams reduce manual effort, increase competitive bidding, and realize savings across their tail spend.

Own Company is a software enterprise that specializes in cloud data protection solutions. It provides a comprehensive data platform designed to safeguard and activate Software as a Service (SaaS) data, facilitating operational transformation for businesses. The platform features a cloud-to-cloud backup and restore system that ensures automated and daily backups of SaaS and Platform as a Service (PaaS) data. Additionally, it includes tools for data comparison and restoration, allowing organizations to effectively manage data loss and corruption crises. By prioritizing the security of critical cloud data, Own Company helps businesses optimize their disaster recovery processes.

Featurespace is a technology company that develops Adaptive Behavioral Analytics and automated deep behavioral networks to prevent fraud and financial crime. Its ARIC platform provides real-time risk scoring and anomaly detection to monitor customer data across transactions and channels, automatically identifying risk, blocking new fraud attacks, and distinguishing genuine activity. The ARIC Risk Hub operates in real time and is used by more than 30 major global financial institutions to protect customers and revenue, spanning multiple countries. The company serves financial institutions and other sectors, including responsible gambling and churn protection, by analyzing streams of customer data to detect anomalies and prevent loss while minimizing disruption to legitimate customers.

Sisense is a software company that develops data and business analytics software to help organizations manage and analyze large, complex data sets. Its flagship BI platform enables users to join data from multiple sources, explore it with visual dashboards, and share insights across teams. The product acts as a data engine for designing dashboards, enabling embedding analytics, and supporting natural-language data exploration and automatically generated summaries. It aims to empower non-technical users to build analytic applications and derive actionable information for internal and external stakeholders. The company also offers technical support and professional services and serves a range of industries from startups to large enterprises, with global offices in multiple regions.

Devo Inc., established in 2011 with headquarters in Cambridge, Massachusetts, specializes in developing a cloud-native platform for centralized log management. The company offers Devo, a multi-tenant enterprise solution that collects machine data from diverse sources, enabling real-time analytics and insights into applications, infrastructure, and business systems through built-in applications, dashboards, and alerts. Additionally, Devo provides Data Operations for data collection and management, Service Operations for application monitoring, and Machine Learning Workbench for data science teams. Its products cater to various use cases such as threat detection, centralized log management, and AIOps, serving clients in financial services, retail, telecommunications, and software industries.

Own Company is a software enterprise that specializes in cloud data protection solutions. It provides a comprehensive data platform designed to safeguard and activate Software as a Service (SaaS) data, facilitating operational transformation for businesses. The platform features a cloud-to-cloud backup and restore system that ensures automated and daily backups of SaaS and Platform as a Service (PaaS) data. Additionally, it includes tools for data comparison and restoration, allowing organizations to effectively manage data loss and corruption crises. By prioritizing the security of critical cloud data, Own Company helps businesses optimize their disaster recovery processes.

Zaius, Inc. is a customer data platform that focuses on enhancing consumer engagement and optimizing marketing strategies for e-commerce and direct-to-consumer businesses. Founded in 2012 and headquartered in Boston, Massachusetts, Zaius provides a comprehensive suite of tools that includes a single customer view platform, intelligent marketing automation, and cross-channel attribution and analytics. These offerings enable marketers to unify customer data, automate behavior-driven messaging, and analyze interactions across multiple channels and devices. By resolving identities and delivering actionable insights, Zaius empowers companies to drive revenue growth from existing customers and improve overall marketing effectiveness. The company was previously known as Voodoo Lunchbox, Inc. before rebranding in June 2014.

Duco Technology Limited is a data engineering technology company that specializes in developing software for data matching, reconciliation, and transformation. Its primary offering is Duco Cube, a cloud-based, no-code platform that empowers users to normalize, validate, and reconcile various types of data on demand, thereby enhancing data integrity and analytics. The company serves a diverse range of clients, including international banks, asset managers, hedge funds, exchanges, and corporate service providers. Founded in 2006 and headquartered in London, Duco has expanded its presence with additional offices in New York, Wroclaw, Luxembourg, Edinburgh, and Singapore. By providing a flexible solution that integrates with existing systems, Duco enables financial institutions to improve business agility, reduce risks, and maintain compliance with regulations, all while minimizing disruption to their IT architecture.

The steady rise in asset values leading up to 2007 made it particularly difficult for banks to price appropriately for risk. Why? Because "the bank across town" set the price benchmark artificially low, knowing they’d get bailed out if a loan went bad. In 2006, many bank CEOs would routinely tell us "we just can't get paid for risk." Today, we never hear this. Without rising asset values to lean on, the success of community banks depends almost entirely on their ability to compete for the best deals, protect and strengthen their relationships, and price appropriately for risk. Banks that aren’t able to refocus on these things stand to lose everything. We believe that the most important conversation a lender has with a borrower is about pricing. We created PrecisionLender to help make that conversation successful for the borrower AND the bank. CONTACT US TODAY to learn how we’re helping other community banks win more deals, protect & strengthen relationships, and increase profitability. We guarantee it’ll be worth your time

Insightful Science is a software company with purpose-built data analysis and bioinformatics applications for life sciences. The company portfolio serves a diverse set of over 2 million scientists in academic, corporate, and government institutions around the world.

Numetric, Inc. is a technology company that specializes in cloud-based software solutions for traffic safety analytics, catering primarily to the transportation industry. Founded in 2014 and based in Draper, Utah, Numetric provides a comprehensive platform that integrates and visualizes traffic safety data, empowering state and local agencies to make informed, data-driven decisions to enhance roadway safety. Its offerings include the Traffic Safety Suite, which features tools for crash queries, network screening, and safety analysis, and the Design Suite, which assists in asset queries and project design. Additionally, Numetric supports its clients with services such as implementation, training, data preparation, and management. By streamlining data collection and analysis, Numetric enables its users to efficiently assess safety issues and allocate resources more effectively, ultimately aiming to reduce fatalities and improve road safety outcomes.

Devo Inc., established in 2011 with headquarters in Cambridge, Massachusetts, specializes in developing a cloud-native platform for centralized log management. The company offers Devo, a multi-tenant enterprise solution that collects machine data from diverse sources, enabling real-time analytics and insights into applications, infrastructure, and business systems through built-in applications, dashboards, and alerts. Additionally, Devo provides Data Operations for data collection and management, Service Operations for application monitoring, and Machine Learning Workbench for data science teams. Its products cater to various use cases such as threat detection, centralized log management, and AIOps, serving clients in financial services, retail, telecommunications, and software industries.

Own Company is a software enterprise that specializes in cloud data protection solutions. It provides a comprehensive data platform designed to safeguard and activate Software as a Service (SaaS) data, facilitating operational transformation for businesses. The platform features a cloud-to-cloud backup and restore system that ensures automated and daily backups of SaaS and Platform as a Service (PaaS) data. Additionally, it includes tools for data comparison and restoration, allowing organizations to effectively manage data loss and corruption crises. By prioritizing the security of critical cloud data, Own Company helps businesses optimize their disaster recovery processes.

Alteryx, Inc. is a leading provider of end-to-end analytics software designed for data analysts and scientists globally. Founded in 1997 and headquartered in Irvine, California, Alteryx offers a comprehensive platform that includes tools for data preparation, blending, and analytics. Key products include Alteryx Designer, which allows users to create visual workflows without coding; Alteryx Server, a solution for scheduling and sharing analytic processes; and Alteryx Connect, a collaborative platform for data exploration and sharing insights within organizations. Additionally, Alteryx Promote facilitates the management and deployment of predictive models, while Alteryx Analytics Gallery serves as a cloud-based collaboration hub for sharing workflows. The company supports over 3,500 customers, ranging from major global brands to smaller organizations, helping them leverage data for competitive advantage. Alteryx's software automates data engineering, analytics, reporting, and machine learning processes, thereby democratizing data analytics across various use cases.

Alteryx, Inc. is a leading provider of end-to-end analytics software designed for data analysts and scientists globally. Founded in 1997 and headquartered in Irvine, California, Alteryx offers a comprehensive platform that includes tools for data preparation, blending, and analytics. Key products include Alteryx Designer, which allows users to create visual workflows without coding; Alteryx Server, a solution for scheduling and sharing analytic processes; and Alteryx Connect, a collaborative platform for data exploration and sharing insights within organizations. Additionally, Alteryx Promote facilitates the management and deployment of predictive models, while Alteryx Analytics Gallery serves as a cloud-based collaboration hub for sharing workflows. The company supports over 3,500 customers, ranging from major global brands to smaller organizations, helping them leverage data for competitive advantage. Alteryx's software automates data engineering, analytics, reporting, and machine learning processes, thereby democratizing data analytics across various use cases.

Intent is a data science company that specializes in providing predictive intelligence solutions for leading online travel and commerce brands. Utilizing patented technology, Intent's platform predicts user behavior in real-time and assesses the future value of individual users. The company has gained the trust of over 450 innovative brands, including major names such as Priceline, Expedia, and TripAdvisor, enabling them to deliver personalized user experiences that enhance utility and return on investment. By focusing on real-time predictions, Intent aims to optimize engagement and value for its partners in the competitive online marketplace.