Founded in 1972 and based in Menlo Park, California, Sequoia Capital is a leading venture capital firm that specializes in investing in early to growth stage companies across various sectors, including energy, financial services, healthcare, internet, mobile, and technology. The firm aims to collaborate with a select number of ambitious founders to help them build transformative companies. Sequoia Capital typically invests between $100,000 and $1 million in startups at the seed stage, $1 million to $10 million in early-stage companies, and $10 million to $100 million in growth-stage firms. With a strong preference for being the first investor in profitable and rapidly growing companies, Sequoia seeks to partner with teams that have demonstrated successful products or services. The firm's investment strategy encompasses a global perspective, with significant allocations in markets such as China, India, and Israel.
Clay offers a platform that equips growth teams with innovative tools designed to enhance customer outreach and research. By integrating first-party, intent, and third-party data from over 100 sources, Clay enables teams to conduct in-depth customer analysis. This comprehensive approach allows businesses to identify and connect with their ideal customers more effectively, ultimately supporting their growth objectives.
Cyera
Series D in 2024
Cyera is a data security company focused on enhancing the protection of sensitive information within organizations. The company provides a platform that automatically discovers and classifies data, ensuring that businesses have a clear understanding of their data landscape and the associated risks. By applying continuous controls, Cyera enables organizations to manage exposure effectively and maintain compliance while fostering a resilient security posture. This data-centric approach empowers security teams to quickly identify vulnerabilities and take immediate action to remediate potential threats. With support from prominent investors, Cyera aims to redefine data security practices for businesses operating in the cloud, helping them achieve transformative outcomes through effective data management.
Cyera
Series C in 2024
Cyera is a data security company focused on enhancing the protection of sensitive information within organizations. The company provides a platform that automatically discovers and classifies data, ensuring that businesses have a clear understanding of their data landscape and the associated risks. By applying continuous controls, Cyera enables organizations to manage exposure effectively and maintain compliance while fostering a resilient security posture. This data-centric approach empowers security teams to quickly identify vulnerabilities and take immediate action to remediate potential threats. With support from prominent investors, Cyera aims to redefine data security practices for businesses operating in the cloud, helping them achieve transformative outcomes through effective data management.
Klu.ai
Pre Seed Round in 2023
Klu.ai is a generative AI platform that simplifies the process of designing, deploying, and optimizing AI applications. The company integrates major large language models (LLMs) such as Anthropic Claude, Azure OpenAI, GPT-4, and over 15 other models, enabling rapid prompt/model experimentation, data gathering, and user feedback. The platform offers features like Klu Actions for content generation, business operations workflows, content analysis, and summarization, as well as optimization techniques for A/B testing and fine-tuning support for models like OpenAI's GPT-3.5 Turbo and GPT-4. Klu.ai is committed to data privacy and security, providing data obfuscation and redaction features to protect sensitive information. Klu.ai is founded by Stephen M. Walker II in 2022 and is located in San Francisco, California.
Rockset
Series B in 2023
Rockset, Inc. is a technology company based in San Mateo, California, founded in 2016. It specializes in developing a serverless search and analytics engine that facilitates the creation of applications without the need for data pipelines or extensive data preparation. The platform operates directly on raw data, enabling users to seamlessly integrate and continuously sync new data from various sources. By utilizing familiar SQL, Rockset allows clients to perform hybrid searches and real-time analytics on diverse data types, including vector, text, geospatial, and JSON data, without the constraints of a fixed schema. This approach streamlines the data management process and enhances the efficiency of interactive data science applications.
Cyera
Series B in 2023
Cyera is a data security company focused on enhancing the protection of sensitive information within organizations. The company provides a platform that automatically discovers and classifies data, ensuring that businesses have a clear understanding of their data landscape and the associated risks. By applying continuous controls, Cyera enables organizations to manage exposure effectively and maintain compliance while fostering a resilient security posture. This data-centric approach empowers security teams to quickly identify vulnerabilities and take immediate action to remediate potential threats. With support from prominent investors, Cyera aims to redefine data security practices for businesses operating in the cloud, helping them achieve transformative outcomes through effective data management.
Dagster Labs
Series B in 2023
Dagster Labs specializes in creating a data orchestration platform that enables organizations to efficiently develop, produce, and monitor their data assets. The company is focused on Dagster, an open-source Python library designed to facilitate the construction of modern data applications. This platform allows teams to collaborate effectively while processing and producing reliable data. By integrating seamlessly with existing tools and infrastructure, Dagster Labs helps clients build scalable and productive data platforms, enhancing their ability to manage and utilize data effectively.
Pydantic
Seed Round in 2023
Pydantic is a company that specializes in developing an open-source data-validation framework for Python, which utilizes type hints to ensure data integrity. This framework effectively validates data by providing clear, user-friendly error messages when invalid entries are encountered. It enables developers to handle untrusted external data by ensuring it conforms to expected schemas, thus streamlining the process of working with real-world data. By facilitating easier and faster data validation, Pydantic's framework helps developers save time and reduce errors in their projects. Additionally, the company operates an observability platform known as Pydantic Logfire, further enhancing its offerings in the data management space.
QueryPal
Seed Round in 2022
QueryPal is an innovative company that enhances enterprise customer support by utilizing historical support tickets to create an intelligent deflection system capable of managing most incoming inquiries via chat and email without human intervention. Unlike traditional AI chatbots that only retrieve information from documentation, QueryPal's Agentic Support AI constructs a comprehensive knowledge graph from past support data, facilitating tier 1-3 support capabilities, including complex API interactions with record systems. Its visual analytics dashboard provides customer service leaders with critical insights into support operations, demonstrating significant return on investment shortly after implementation. Trusted by notable organizations, QueryPal aims to transform the $300 billion global customer support market by converting cost centers into strategic assets without increasing workforce size. The company has received recognition in various publications, highlighting its potential to disrupt the industry.
WireScreen
Series A in 2022
WireScreen is a prominent business intelligence platform based in China, specializing in providing detailed and accurate data on millions of companies and their leadership. The platform offers insights into global supply chain trends, focusing particularly on China's economic ascent and its impact on international business and trade. By supplying corporations and government agencies with reliable, actionable information, WireScreen enables its clients to make informed decisions and effectively navigate the complexities of the evolving business landscape. Additionally, it highlights key factors influencing finance, labor, and environmental considerations, helping clients identify potential investment opportunities.
Kumo.AI
Series B in 2022
Kumo.AI is a SaaS AI platform that allows anyone in an organization to tackle predictive problems in business. It enables all non-technical and technical users, regardless of ML experience, to traverse all the major steps of a best practice ML lifecycle. The platform's users can immediately tackle a wide variety of predictive problems all in a single sitting, in application areas such as new customer acquisition, customer loyalty and retention, personalization and next best action, entity resolution and knowledge graph curation, abuse detection, financial crime detection, generation of ML features for data science teams, and more. Kumo.AI was founded in 2021 and is based in Mountain View, California.
Arcwise
Pre Seed Round in 2022
Arcwise is a low-code platform for data apps that makes Python, SQL, and machine learning available to everyone. With Arcwise, users can import data from all their sources scalably and quickly, get insights fast with AI-assisted analytics and visualizations, and automate workflows and build dashboards for their stakeholders. Arcwise includes pre-written recipes for data transformations, cleaning, and even machine learning modeling.
Kaito
Seed Round in 2022
Kaito is an AI-powered search engine designed specifically for digital assets, focusing on providing actionable insights for crypto investors, researchers, developers, and the general public. The platform employs advanced in-house AI technologies to aggregate, sort, and curate real-time information from a variety of sources, including social media, publishing platforms, audio content, and industry news. By transforming vast amounts of unstructured data into structured information, Kaito aims to democratize access to critical insights within the crypto industry, thereby enhancing the research process for its users.
Tecton
Series C in 2022
Tecton offers an enterprise-ready feature store that addresses the unique data requirements of machine learning. By providing a robust data platform, Tecton enables machine learning teams to efficiently build, serve, and scale features for production use. The platform allows users to construct features from various data sources, including batch, streaming, and real-time data, facilitating the sharing, reuse, and deployment of models. This capability empowers data scientists and organizations to automate decisions at high speed, enhance customer experiences, and transform business processes. Tecton's focus on optimizing the data layer for machine learning aims to help companies develop superior models more rapidly, driving significant business outcomes.
Statsig
Series B in 2022
Statsig is a digital product testing platform that empowers businesses to make informed decisions through robust product experimentation. Unlike traditional A/B testing tools, Statsig tracks the impact of every feature release, allowing teams to quantify the effects of their efforts comprehensively. Its Product Observability feature enables teams to identify significant metric drops shortly after launching new features, facilitating quick divestment from underperforming initiatives and encouraging investment in successful ones. By adopting Statsig, modern product teams have experienced increased product velocity and enhanced decision-making capabilities. The company’s founding team, which includes former Facebook employees, aims to revamp the data tools infrastructure that supported Facebook's growth over the past decade.
Kumo.AI
Series A in 2022
Kumo.AI is a SaaS AI platform that allows anyone in an organization to tackle predictive problems in business. It enables all non-technical and technical users, regardless of ML experience, to traverse all the major steps of a best practice ML lifecycle. The platform's users can immediately tackle a wide variety of predictive problems all in a single sitting, in application areas such as new customer acquisition, customer loyalty and retention, personalization and next best action, entity resolution and knowledge graph curation, abuse detection, financial crime detection, generation of ML features for data science teams, and more. Kumo.AI was founded in 2021 and is based in Mountain View, California.
Cyera
Series A in 2022
Cyera is a data security company focused on enhancing the protection of sensitive information within organizations. The company provides a platform that automatically discovers and classifies data, ensuring that businesses have a clear understanding of their data landscape and the associated risks. By applying continuous controls, Cyera enables organizations to manage exposure effectively and maintain compliance while fostering a resilient security posture. This data-centric approach empowers security teams to quickly identify vulnerabilities and take immediate action to remediate potential threats. With support from prominent investors, Cyera aims to redefine data security practices for businesses operating in the cloud, helping them achieve transformative outcomes through effective data management.
Census
Series B in 2022
Census is a data activation platform that specializes in synchronizing data warehouses with customer relationship management and operational tools. By utilizing Reverse ETL technology, Census enables businesses to transform their data into actionable insights without the need for custom scripts or significant engineering resources. This functionality allows marketing and sales teams to access and utilize reliable customer data effectively. Numerous companies, such as Fivetran, Canva, Sonos, and Figma, leverage Census to enhance their operations, leading to significant improvements like personalized marketing for millions of users, a tenfold increase in sales productivity, and a substantial reduction in support response times. Through its platform, Census aims to facilitate better decision-making and operational efficiency for its clients.
Bluerizon
Pre Seed Round in 2022
Bluerizon is a software and online data-science platform that powering the intelligence layer of global markets to deliver actionable insights to businesses, consumers and retail traders. It allows its user to grow and scale their approach to the global markets by helping them making smarter, faster and better decisions. Also, It provides a large library of online courses, AI driven price predictions, analysis, normalised data, automation and many more. Bluerizon was launched in 2022 with a mission to create a financial freedom ecosystem for the world and dual-headquartered in Menlo Park, California and Dubai, United Arab Emirates.
Dagster Labs
Series A in 2021
Dagster Labs specializes in creating a data orchestration platform that enables organizations to efficiently develop, produce, and monitor their data assets. The company is focused on Dagster, an open-source Python library designed to facilitate the construction of modern data applications. This platform allows teams to collaborate effectively while processing and producing reliable data. By integrating seamlessly with existing tools and infrastructure, Dagster Labs helps clients build scalable and productive data platforms, enhancing their ability to manage and utilize data effectively.
Statsig
Series A in 2021
Statsig is a digital product testing platform that empowers businesses to make informed decisions through robust product experimentation. Unlike traditional A/B testing tools, Statsig tracks the impact of every feature release, allowing teams to quantify the effects of their efforts comprehensively. Its Product Observability feature enables teams to identify significant metric drops shortly after launching new features, facilitating quick divestment from underperforming initiatives and encouraging investment in successful ones. By adopting Statsig, modern product teams have experienced increased product velocity and enhanced decision-making capabilities. The company’s founding team, which includes former Facebook employees, aims to revamp the data tools infrastructure that supported Facebook's growth over the past decade.
Rockset
Series B in 2020
Rockset, Inc. is a technology company based in San Mateo, California, founded in 2016. It specializes in developing a serverless search and analytics engine that facilitates the creation of applications without the need for data pipelines or extensive data preparation. The platform operates directly on raw data, enabling users to seamlessly integrate and continuously sync new data from various sources. By utilizing familiar SQL, Rockset allows clients to perform hybrid searches and real-time analytics on diverse data types, including vector, text, geospatial, and JSON data, without the constraints of a fixed schema. This approach streamlines the data management process and enhances the efficiency of interactive data science applications.
Dagster Labs
Seed Round in 2020
Dagster Labs specializes in creating a data orchestration platform that enables organizations to efficiently develop, produce, and monitor their data assets. The company is focused on Dagster, an open-source Python library designed to facilitate the construction of modern data applications. This platform allows teams to collaborate effectively while processing and producing reliable data. By integrating seamlessly with existing tools and infrastructure, Dagster Labs helps clients build scalable and productive data platforms, enhancing their ability to manage and utilize data effectively.
Trusting Social
Series B in 2020
Trusting Social is an AI fintech company focused on enhancing financial inclusion for underbanked populations through innovative credit risk and identity verification solutions. By utilizing proprietary machine learning algorithms and alternative data sources, Trusting Social provides financial institutions with consumer credit scores that extend beyond traditional methods. This enables lenders to assess credit risk, verify identity, and confidently offer loans to individuals who lack conventional credit histories. Operating in Vietnam, Indonesia, India, and the Philippines, Trusting Social's platform addresses the needs of financially invisible consumers, facilitating access to credit for those often overlooked by traditional credit bureaus.
Domino Data Lab
Series E in 2020
Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. Its primary offerings include Domino Cloud, a managed cloud infrastructure for running and scaling models, and Domino On-Premise, which allows clients to track and audit their analyses. The platform is designed to empower data science teams by enabling collaborative, reusable, and reproducible analysis. Domino Data Lab serves a diverse range of industries, including financial services, healthcare, manufacturing, media, technology, retail, and consumer products. The platform is utilized by model-driven organizations to accelerate research, enhance collaboration, and deliver impactful models efficiently. Founded in 2012 and based in San Francisco, California, the company was formerly known as Cerebro, Inc. before rebranding in 2015.
Tecton
Series A in 2020
Tecton offers an enterprise-ready feature store that addresses the unique data requirements of machine learning. By providing a robust data platform, Tecton enables machine learning teams to efficiently build, serve, and scale features for production use. The platform allows users to construct features from various data sources, including batch, streaming, and real-time data, facilitating the sharing, reuse, and deployment of models. This capability empowers data scientists and organizations to automate decisions at high speed, enhance customer experiences, and transform business processes. Tecton's focus on optimizing the data layer for machine learning aims to help companies develop superior models more rapidly, driving significant business outcomes.
Snowflake
Series G in 2020
Snowflake Inc. is a cloud-based data platform that offers a comprehensive solution for data warehousing, data lakes, and data sharing. Founded in 2012 and headquartered in San Mateo, California, the company provides organizations of various sizes and industries with the tools to consolidate data into a single source of truth, enabling meaningful business insights and the development of data-driven applications. Snowflake's platform is designed to facilitate instant, secure access to a wide array of data, supporting multiple data workloads and making it suitable for modern data applications. The company's innovative approach allows enterprises to quickly buy and ingest data, significantly reducing the time required compared to traditional methods. With a customer base that includes over 3,000 organizations, nearly 30% of which are part of the Fortune 500, Snowflake is recognized for its cost-effective solutions that leverage the power of cloud technology.
Trusting Social
Series A in 2019
Trusting Social is an AI fintech company focused on enhancing financial inclusion for underbanked populations through innovative credit risk and identity verification solutions. By utilizing proprietary machine learning algorithms and alternative data sources, Trusting Social provides financial institutions with consumer credit scores that extend beyond traditional methods. This enables lenders to assess credit risk, verify identity, and confidently offer loans to individuals who lack conventional credit histories. Operating in Vietnam, Indonesia, India, and the Philippines, Trusting Social's platform addresses the needs of financially invisible consumers, facilitating access to credit for those often overlooked by traditional credit bureaus.
CB4
Series B in 2019
CB4 is a provider of artificial intelligence solutions designed to assist retail teams in capturing lost sales and enhancing customer experiences. The company's software utilizes patented machine learning algorithms to analyze existing point-of-sale data, enabling the identification of physical issues that hinder sales and impact customer satisfaction. By generating customized lists of SKUs tailored to each store's unique selling patterns and operational conditions, CB4 highlights specific products that can significantly increase revenue. These recommendations address various operational inefficiencies, such as improper product placement, labeling errors, or inventory discrepancies. Retailers can implement quick fixes, like adjusting stock levels or repositioning products, to boost sales and meet customer demands. Over time, the system learns from the adjustments made by stores, allowing for increasingly valuable and actionable insights.
Rockset
Series A in 2018
Rockset, Inc. is a technology company based in San Mateo, California, founded in 2016. It specializes in developing a serverless search and analytics engine that facilitates the creation of applications without the need for data pipelines or extensive data preparation. The platform operates directly on raw data, enabling users to seamlessly integrate and continuously sync new data from various sources. By utilizing familiar SQL, Rockset allows clients to perform hybrid searches and real-time analytics on diverse data types, including vector, text, geospatial, and JSON data, without the constraints of a fixed schema. This approach streamlines the data management process and enhances the efficiency of interactive data science applications.
Snowflake
Series F in 2018
Snowflake Inc. is a cloud-based data platform that offers a comprehensive solution for data warehousing, data lakes, and data sharing. Founded in 2012 and headquartered in San Mateo, California, the company provides organizations of various sizes and industries with the tools to consolidate data into a single source of truth, enabling meaningful business insights and the development of data-driven applications. Snowflake's platform is designed to facilitate instant, secure access to a wide array of data, supporting multiple data workloads and making it suitable for modern data applications. The company's innovative approach allows enterprises to quickly buy and ingest data, significantly reducing the time required compared to traditional methods. With a customer base that includes over 3,000 organizations, nearly 30% of which are part of the Fortune 500, Snowflake is recognized for its cost-effective solutions that leverage the power of cloud technology.
Domino Data Lab
Series D in 2018
Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. Its primary offerings include Domino Cloud, a managed cloud infrastructure for running and scaling models, and Domino On-Premise, which allows clients to track and audit their analyses. The platform is designed to empower data science teams by enabling collaborative, reusable, and reproducible analysis. Domino Data Lab serves a diverse range of industries, including financial services, healthcare, manufacturing, media, technology, retail, and consumer products. The platform is utilized by model-driven organizations to accelerate research, enhance collaboration, and deliver impactful models efficiently. Founded in 2012 and based in San Francisco, California, the company was formerly known as Cerebro, Inc. before rebranding in 2015.
Snowflake
Series E in 2018
Snowflake Inc. is a cloud-based data platform that offers a comprehensive solution for data warehousing, data lakes, and data sharing. Founded in 2012 and headquartered in San Mateo, California, the company provides organizations of various sizes and industries with the tools to consolidate data into a single source of truth, enabling meaningful business insights and the development of data-driven applications. Snowflake's platform is designed to facilitate instant, secure access to a wide array of data, supporting multiple data workloads and making it suitable for modern data applications. The company's innovative approach allows enterprises to quickly buy and ingest data, significantly reducing the time required compared to traditional methods. With a customer base that includes over 3,000 organizations, nearly 30% of which are part of the Fortune 500, Snowflake is recognized for its cost-effective solutions that leverage the power of cloud technology.
23andMe
Series F in 2017
23andMe, Inc. is a consumer genetics company based in Sunnyvale, California, founded in 2006. It offers DNA analysis services through home-based saliva collection kits, enabling consumers to explore their genetic ancestry, traits, and health predispositions. The company provides various services, including Health + Ancestry, which delivers insights into ancestry and genetic health risks, and Ancestry + Traits, which offers an ancestry breakdown along with reports on over 30 traits. Additionally, 23andMe markets its data to researchers and scientists, providing them with categorized and searchable genetic information. The firm aims to enhance understanding of the human genome and its implications for health and ancestry. Through its consumer and research services, 23andMe seeks to make genetic information accessible and meaningful to individuals and professionals alike.
Hyper Anna
Series A in 2017
Hyper Anna is an innovative AI-powered analytics platform that provides major organizations worldwide, including Microsoft, IAG, Westpac, and Singtel, with the ability to analyze data and extract insights quickly and efficiently. With offices in Australia and Singapore, the platform allows users of all skill levels to make informed decisions by simplifying data analysis and eliminating repetitive tasks such as number crunching and presentation design. Hyper Anna connects to various databases and supports ad hoc analysis through easy configuration, enabling clients to harness the power of data for better business outcomes. Recognized by industry leaders like Gartner, CB Insights, KPMG, and Deloitte, Hyper Anna is positioned as a leading global innovator in the field of data analytics.
Ascend.io
Series A in 2017
Ascend.io, based in Palo Alto, California, offers an advanced platform designed to streamline big data analytics and engineering workflows. The platform integrates essential capabilities such as data ingestion, transformation, delivery, orchestration, and observability into a unified solution, enabling data teams to operate significantly faster. By leveraging declarative configurations and automation, Ascend.io manages cloud infrastructure, optimizes data pipelines, and reduces maintenance throughout the data lifecycle. This innovative approach supports business managers in initiating projects and making informed decisions by simplifying connections to various applications. Recognized as a 2021 Gartner Cool Vendor, Ascend.io is supported by prominent venture capital firms and notable advisors in the tech industry.
Domino Data Lab
Series C in 2017
Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. Its primary offerings include Domino Cloud, a managed cloud infrastructure for running and scaling models, and Domino On-Premise, which allows clients to track and audit their analyses. The platform is designed to empower data science teams by enabling collaborative, reusable, and reproducible analysis. Domino Data Lab serves a diverse range of industries, including financial services, healthcare, manufacturing, media, technology, retail, and consumer products. The platform is utilized by model-driven organizations to accelerate research, enhance collaboration, and deliver impactful models efficiently. Founded in 2012 and based in San Francisco, California, the company was formerly known as Cerebro, Inc. before rebranding in 2015.
Domino Data Lab
Series B in 2016
Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. Its primary offerings include Domino Cloud, a managed cloud infrastructure for running and scaling models, and Domino On-Premise, which allows clients to track and audit their analyses. The platform is designed to empower data science teams by enabling collaborative, reusable, and reproducible analysis. Domino Data Lab serves a diverse range of industries, including financial services, healthcare, manufacturing, media, technology, retail, and consumer products. The platform is utilized by model-driven organizations to accelerate research, enhance collaboration, and deliver impactful models efficiently. Founded in 2012 and based in San Francisco, California, the company was formerly known as Cerebro, Inc. before rebranding in 2015.
Ascend.io
Seed Round in 2015
Ascend.io, based in Palo Alto, California, offers an advanced platform designed to streamline big data analytics and engineering workflows. The platform integrates essential capabilities such as data ingestion, transformation, delivery, orchestration, and observability into a unified solution, enabling data teams to operate significantly faster. By leveraging declarative configurations and automation, Ascend.io manages cloud infrastructure, optimizes data pipelines, and reduces maintenance throughout the data lifecycle. This innovative approach supports business managers in initiating projects and making informed decisions by simplifying connections to various applications. Recognized as a 2021 Gartner Cool Vendor, Ascend.io is supported by prominent venture capital firms and notable advisors in the tech industry.
EverString
Series B in 2015
EverString is a provider of a cloud-based predictive analytics platform that assists companies in identifying and engaging with potential customer prospects. The platform leverages data from both online and offline sources to deliver accurate company and contact information, including firmographics and technographics. Its features encompass predictive scoring, demand generation, and advertisement targeting, enabling businesses to develop new sales pipelines and enhance conversion rates. Designed for B2B sales and marketing professionals, EverString’s solution supports pipeline growth, customer acquisition, market expansion, account prioritization, and the provision of actionable insights.
EverString
Series A in 2014
EverString is a provider of a cloud-based predictive analytics platform that assists companies in identifying and engaging with potential customer prospects. The platform leverages data from both online and offline sources to deliver accurate company and contact information, including firmographics and technographics. Its features encompass predictive scoring, demand generation, and advertisement targeting, enabling businesses to develop new sales pipelines and enhance conversion rates. Designed for B2B sales and marketing professionals, EverString’s solution supports pipeline growth, customer acquisition, market expansion, account prioritization, and the provision of actionable insights.
Metanautix
Series A in 2014
Metanautix is a provider of big data analytics software designed to assist large enterprises in managing and analyzing vast amounts of data. The company focuses on integrating the data supply chain, enabling organizations to transform their information assets into informed decisions and innovative products. By offering advanced analytics systems, Metanautix helps businesses navigate complex data environments, ultimately enhancing their operational efficiency and decision-making capabilities.
iCreate Software
Series B in 2012
iCreate Software Pvt. Ltd. develops business intelligence (BI) and analytics products and solutions for banking and financial services markets. It offers Biz$core, a banking intelligence solution that enables users to control of their bank’s business performance; and Biz$Manage, an SLA-based managed model that transforms a team of BI into a BI and analytics center for banking sector. The company also provides DEED Workshop, a consulting engagement that helps to understand BI needs and create a BI roadmap. In addition, its business intelligence services include data warehouse design and implementation; extract, transform, and load; and OLAP, reporting, and dashboard development and deployment. Further, the company’s services include re-engineering and enhancement, data quality improvement and consulting, and data extraction and integration; and model development, validation, and integration with reporting. It offers solutions in the areas of BI and reporting, collections, compliance, risk management, and fraud detection. The company serves clients in Africa, the Middle East, APAC, and Europe regions. iCreate Software was founded in 2006 and is headquartered in Bangalore, India.
Cellworks
Series B in 2012
Cellworks Group is a life sciences technology company based in Saratoga, California, with a research and development facility in Bangalore, India. Founded in 2005, Cellworks operates a biosimulation platform called iC-PHYS, which enhances drug and biomarker discovery through advanced OMICs modeling and computational biosimulation. The company focuses on various therapeutic areas, including oncology, inflammatory diseases, type-2 diabetes, infectious diseases, skin pigmentation and aging, and neurodegenerative disorders. By leveraging innovative technologies and AI heuristics, Cellworks aims to improve clinical outcomes and provide valuable research solutions for pharmaceutical companies, payers, and healthcare providers.
Lattice Engines
Series C in 2012
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.
Huaat
Series A in 2012
Hua Data Technology is a Chinese domestic professional service company focused on high-level data mining and data analysis. The company also provides application software and consulting solutions for marketing analysis and management, customer relationship management, and decision support. Founded in March 2002, Huayuan Data promotes scientific decision and management optimization through data analysis.
Metanautix
Seed Round in 2012
Metanautix is a provider of big data analytics software designed to assist large enterprises in managing and analyzing vast amounts of data. The company focuses on integrating the data supply chain, enabling organizations to transform their information assets into informed decisions and innovative products. By offering advanced analytics systems, Metanautix helps businesses navigate complex data environments, ultimately enhancing their operational efficiency and decision-making capabilities.
Lattice Engines
Series B in 2011
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.
DataStax
Series A in 2010
DataStax, Inc. specializes in providing database software for cloud applications, catering to Fortune 100 companies globally. Its flagship product, DataStax Enterprise, is built on Apache Cassandra and designed for online applications requiring high performance and reliability. The company also offers various tools, including DataStax OpsCenter for database management, K8ssandra for deploying Cassandra on Kubernetes, and DataStax DevCenter for developing CQL queries. DataStax Astra is a database-as-a-service that significantly accelerates deployment times, while DataStax Constellation functions as a cloud data platform to streamline modern application development. Additionally, DataStax provides training, support, and consulting services to enterprises and government agencies. Founded in 2010 and headquartered in Santa Clara, California, DataStax has a global presence with offices in multiple countries, including the United Kingdom, Japan, France, Germany, Australia, and Ireland. The company has also ventured into tools for building generative AI applications, offering a vector database with real-time data processing capabilities.
Aster Data Systems
Series C in 2010
Aster Data Systems specializes in big data management and analysis, offering innovative solutions for data-driven applications. The company's flagship product, nCluster, is a pioneering massively parallel processing (MPP) data warehouse that integrates application logic directly within the database engine, enabling rapid and deep analysis of large data sets. This "applications-within" approach leverages Aster's proprietary SQL-MapReduce technology to facilitate efficient parallelized data processing. Aster Data caters to various industries, with notable clients including Coremetrics, MySpace, Akamai, ShareThis, and Full Tilt Poker. The company is headquartered in San Carlos, California, and is supported by several prominent venture capital firms and industry leaders. In addition to its core database offerings, Aster Data provides a range of services, including analytics, data loading performance, query optimization, and consulting, to enhance the overall user experience and effectiveness of its solutions.
Mixer Labs
Series A in 2009
Mixer Labs is the company behind GeoAPI.com, a powerful location engine for developers, and TownMe, a new local information site. TownMe's mission is to bring all the world's local information and relationships online. TownMe's goal is to show your town, online. Mixer Labs also powers a GeoAPI which provides location as a service. The GeoAPI includes: -Reverse Geocoder -16 million business listings and points of interest (with rich per location data) -Writable layer - each developer can add their own annotation of places and entities and do complex geo-queries against this information. You can access it via http://api.townme.com, http://geoapi.com or http://sexyapi.com
LogLogic
Series D in 2009
LogLogic is the provider of industry's only scalable log and security intelligence platform for the enterprise and cloud. LogLogic, with over 1300 customers, provides solutions that allow customers to collect and analyze terabytes of big data generated by their IT assets and gives Security, IT Ops, and Compliance professionals actionable information at their finger tips to identify issues proactively and make insightful decisions, and also get compliant with various regulations. Currently, LogLogic customers are leveraging its solutions to manage over 1,000 Petabytes (or 1 Exabyte) of data.
Aster Data Systems
Series B in 2009
Aster Data Systems specializes in big data management and analysis, offering innovative solutions for data-driven applications. The company's flagship product, nCluster, is a pioneering massively parallel processing (MPP) data warehouse that integrates application logic directly within the database engine, enabling rapid and deep analysis of large data sets. This "applications-within" approach leverages Aster's proprietary SQL-MapReduce technology to facilitate efficient parallelized data processing. Aster Data caters to various industries, with notable clients including Coremetrics, MySpace, Akamai, ShareThis, and Full Tilt Poker. The company is headquartered in San Carlos, California, and is supported by several prominent venture capital firms and industry leaders. In addition to its core database offerings, Aster Data provides a range of services, including analytics, data loading performance, query optimization, and consulting, to enhance the overall user experience and effectiveness of its solutions.
Mixer Labs
Seed Round in 2008
Mixer Labs is the company behind GeoAPI.com, a powerful location engine for developers, and TownMe, a new local information site. TownMe's mission is to bring all the world's local information and relationships online. TownMe's goal is to show your town, online. Mixer Labs also powers a GeoAPI which provides location as a service. The GeoAPI includes: -Reverse Geocoder -16 million business listings and points of interest (with rich per location data) -Writable layer - each developer can add their own annotation of places and entities and do complex geo-queries against this information. You can access it via http://api.townme.com, http://geoapi.com or http://sexyapi.com
Aster Data Systems
Series A in 2007
Aster Data Systems specializes in big data management and analysis, offering innovative solutions for data-driven applications. The company's flagship product, nCluster, is a pioneering massively parallel processing (MPP) data warehouse that integrates application logic directly within the database engine, enabling rapid and deep analysis of large data sets. This "applications-within" approach leverages Aster's proprietary SQL-MapReduce technology to facilitate efficient parallelized data processing. Aster Data caters to various industries, with notable clients including Coremetrics, MySpace, Akamai, ShareThis, and Full Tilt Poker. The company is headquartered in San Carlos, California, and is supported by several prominent venture capital firms and industry leaders. In addition to its core database offerings, Aster Data provides a range of services, including analytics, data loading performance, query optimization, and consulting, to enhance the overall user experience and effectiveness of its solutions.
LogLogic
Series B in 2004
LogLogic is the provider of industry's only scalable log and security intelligence platform for the enterprise and cloud. LogLogic, with over 1300 customers, provides solutions that allow customers to collect and analyze terabytes of big data generated by their IT assets and gives Security, IT Ops, and Compliance professionals actionable information at their finger tips to identify issues proactively and make insightful decisions, and also get compliant with various regulations. Currently, LogLogic customers are leveraging its solutions to manage over 1,000 Petabytes (or 1 Exabyte) of data.
HyperRoll
Series C in 2004
HyperRoll is a provider of data warehouse performance acceleration software, specializing in its Data Performance Management Suite. This suite enhances load times, query times, and throughput for data warehouses, enabling organizations to respond swiftly to changes in data and metadata while reducing overall costs. HyperRoll's innovative software architecture represents a significant advancement in managing business data performance. In addition to its core software offerings, the company also provides solutions across various sectors, including consumer products, retail, finance, supply chain, and customer relationship management. Furthermore, HyperRoll offers advisory, consulting, education, and technical support services to assist clients in maximizing the benefits of their data management strategies.
LogLogic
Series A in 2004
LogLogic is the provider of industry's only scalable log and security intelligence platform for the enterprise and cloud. LogLogic, with over 1300 customers, provides solutions that allow customers to collect and analyze terabytes of big data generated by their IT assets and gives Security, IT Ops, and Compliance professionals actionable information at their finger tips to identify issues proactively and make insightful decisions, and also get compliant with various regulations. Currently, LogLogic customers are leveraging its solutions to manage over 1,000 Petabytes (or 1 Exabyte) of data.
HyperRoll
Series B in 2002
HyperRoll is a provider of data warehouse performance acceleration software, specializing in its Data Performance Management Suite. This suite enhances load times, query times, and throughput for data warehouses, enabling organizations to respond swiftly to changes in data and metadata while reducing overall costs. HyperRoll's innovative software architecture represents a significant advancement in managing business data performance. In addition to its core software offerings, the company also provides solutions across various sectors, including consumer products, retail, finance, supply chain, and customer relationship management. Furthermore, HyperRoll offers advisory, consulting, education, and technical support services to assist clients in maximizing the benefits of their data management strategies.
iPhrase Technologies
Series B in 2001
Maximize your return on self-service system investments iPhrase® Technologies, Inc. is the leading provider of self-service search and navigation software for mission-critical applications. Their One Step™ platform simplifies access to all your high-value information. Through a unique combination of technologies, including natural language processing, multi-source retrieval, dynamic presentation, and in-depth analytics, One Step delivers an online search and navigation experience that is second to none. With One Step, your customers and employees will see a clear difference—with superior relevancy and usability in search results that leverage all your product, service, and information assets. Whether in data, documents, or applications, One Step covers all your information resources. With One Step, you will see a far better return on your technology investments with a self-service search solution that supports and works with your existing systems. The business results are clear—increased revenue, decreased costs, improved customer satisfaction, and increased productivity. Their goal is simple—they want to help you deliver an online experience that equals that found in person or through higher-cost channels, such as e-mail, chat, and phone. iPhrase is proud to deliver a powerful ROI for critical applications at such leading companies as Charles Schwab & Co., Neiman Marcus, LexisNexis and TD Waterhouse. Their investors include Charles River Ventures, Greylock, Reed Elsevier Ventures, Sequoia Capital, TD Capital Technology Ventures, and Bain Capital. Founded by former MIT researchers and business leaders, iPhrase has offices in Cambridge, MA and San Mateo, CA.
Vividence
Series D in 2000
Vividence offers e-businesses with market information services and evaluation applications. It provides consulting services that focus on online customer experience, market trends, and industry strategies. Vividence enables individuals to earn gift cards by evaluating and giving feedback on e-commerce sites. Vividence was founded in 1998 and is based in San Mateo, California.
iPhrase Technologies
Venture Round in 2000
Maximize your return on self-service system investments iPhrase® Technologies, Inc. is the leading provider of self-service search and navigation software for mission-critical applications. Their One Step™ platform simplifies access to all your high-value information. Through a unique combination of technologies, including natural language processing, multi-source retrieval, dynamic presentation, and in-depth analytics, One Step delivers an online search and navigation experience that is second to none. With One Step, your customers and employees will see a clear difference—with superior relevancy and usability in search results that leverage all your product, service, and information assets. Whether in data, documents, or applications, One Step covers all your information resources. With One Step, you will see a far better return on your technology investments with a self-service search solution that supports and works with your existing systems. The business results are clear—increased revenue, decreased costs, improved customer satisfaction, and increased productivity. Their goal is simple—they want to help you deliver an online experience that equals that found in person or through higher-cost channels, such as e-mail, chat, and phone. iPhrase is proud to deliver a powerful ROI for critical applications at such leading companies as Charles Schwab & Co., Neiman Marcus, LexisNexis and TD Waterhouse. Their investors include Charles River Ventures, Greylock, Reed Elsevier Ventures, Sequoia Capital, TD Capital Technology Ventures, and Bain Capital. Founded by former MIT researchers and business leaders, iPhrase has offices in Cambridge, MA and San Mateo, CA.
Vividence
Series B in 1999
Vividence offers e-businesses with market information services and evaluation applications. It provides consulting services that focus on online customer experience, market trends, and industry strategies. Vividence enables individuals to earn gift cards by evaluating and giving feedback on e-commerce sites. Vividence was founded in 1998 and is based in San Mateo, California.
Yodlee
Series A in 1999
Yodlee, Inc. is a technology company that operates a cloud-based financial services platform known as the Yodlee Financial Cloud. This platform offers a variety of financial applications, or FinApps, designed for sectors including retail finance, wealth management, and small businesses. These applications help consumers and small businesses manage their finances by simplifying tasks such as reviewing accounts, tracking spending, and calculating net worth. Additionally, the Yodlee Financial Cloud allows customers to create their own applications using open application programming interfaces, providing secure data and various financial functionalities. Yodlee also offers data solutions and market research services, catering to financial institutions and third-party developers of financial applications. Founded in 1999 and headquartered in Redwood City, California, Yodlee operates as a subsidiary of Envestnet, Inc.
Statsig
Statsig is a digital product testing platform that empowers businesses to make informed decisions through robust product experimentation. Unlike traditional A/B testing tools, Statsig tracks the impact of every feature release, allowing teams to quantify the effects of their efforts comprehensively. Its Product Observability feature enables teams to identify significant metric drops shortly after launching new features, facilitating quick divestment from underperforming initiatives and encouraging investment in successful ones. By adopting Statsig, modern product teams have experienced increased product velocity and enhanced decision-making capabilities. The company’s founding team, which includes former Facebook employees, aims to revamp the data tools infrastructure that supported Facebook's growth over the past decade.
Spot something off? Help us improve by flagging any incorrect or outdated information. Just email us at support@teaserclub.com. Your feedback is most welcome.