Menlo Labs

Menlo Labs, a venture capital fund managed by Menlo Ventures and based in San Francisco, specializes in early-stage investments across various sectors, including consumer technology, software, fintech, and healthcare. Established in 1976, Menlo Ventures has built a reputation for identifying promising opportunities through market-driven analysis. The firm has an extensive portfolio that includes over 70 public companies and has been involved in more than 100 mergers and acquisitions, managing approximately $5 billion in assets. Menlo Labs focuses on supporting innovative companies at different stages of their development, typically investing up to $20 million in initial rounds and more than $30 million in later-stage opportunities. The firm is committed to fostering capital-efficient business models that have the potential to disrupt significant markets.

Michelle Aguinis

Investor

Aunkur Arya

Board Partner

Sam Borja

Investor

Hal Calhoun

Managing Director

Doug Carlisle

Managing Director

Shawn Carolan

Partner

Sunil Chhaya

Principal

Deedy Das

Principal

Debarghya Das

Principal

Venky Ganesan

Partner

Venkataraman Vishnampet Ganesan

Partner

Houman Haghighi

Partner, Business and Corporate Development

Feyza Haskaraman

Principal

Johnny Hu Ph.D

Principal

Katie Keller

Investor

Kirsten Mello

CFO

Matt Murphy

Managing Director / Partner

Joff Redfern

Partner

Greg Rudin JD

Partner and General Manager

JP Sanday

Partner

Jean-Paul Sanday

Partner

Rama Sekhar

Partner

Mark Siegel

Partner

Tyler Sosin

Partner

Manoj Soundararajan

Investor

Tim Tully

Partner

Andreas Vandris

Principal

Amy Wu

Partner

Derek Xiao

Investor

C.C. Gong

Principal

Past deals in Data Mining

Unravel

Series D in 2022
Unravel Data Systems, Inc. is a company that specializes in enterprise-grade performance management software for big data applications. Founded in 2013 and based in Palo Alto, California, Unravel Data provides an AI-powered platform that enables users to analyze and optimize their data applications and clusters. This full-stack solution supports various big data systems, including Hadoop and Spark, and is designed for both on-premise and cloud environments. The platform enhances reliability and performance, maximizes cost savings across storage and compute resources, and boosts productivity in a self-service DataOps setting. Unravel Data serves a diverse clientele, including several Fortune 500 companies, by offering tools for monitoring, managing, and simplifying data pipelines while delivering actionable insights for performance improvement.

Anagenex

Series A in 2022
Developer of drug discovery platform designed for radically accelerating small molecule drug discovery and finding pharmaceutical compounds for medically important targets. The company's technology rapidly analyzes compounds by combining machine learning with DNA-encoded libraries to generate enormous amounts of useful data and parallel biochemical experiments using proprietary artificial intelligence (AI) models, enabling researchers to develop new drugs.

RelationalAI

Series B in 2022
Relational Artificial Intelligence

Pinecone

Series A in 2022
Pinecone is a developer of a vector database platform designed to support the deployment of complex machine learning applications efficiently and at scale. It provides a serverless solution that allows users to build vector-based systems for personalization, ranking, and search, ensuring accuracy, speed, and scalability. The platform features real-time serving engines that facilitate the transformation, searching, and ranking of multidimensional vectors, significantly reducing the time required for these processes. With its simple APIs, Pinecone requires no maintenance, making it accessible for developers looking to implement advanced machine learning capabilities in their applications.

Anagenex

Seed Round in 2022
Developer of drug discovery platform designed for radically accelerating small molecule drug discovery and finding pharmaceutical compounds for medically important targets. The company's technology rapidly analyzes compounds by combining machine learning with DNA-encoded libraries to generate enormous amounts of useful data and parallel biochemical experiments using proprietary artificial intelligence (AI) models, enabling researchers to develop new drugs.

Heap

Series D in 2021
Heap Inc. develops an analytics platform designed to enhance decision-making for online businesses by automating the collection and analysis of customer interaction data. Founded in 2012 and headquartered in San Francisco, California, with additional offices in New York and Utah, Heap's solution captures various user interactions, such as clicks, submissions, and transactions, without requiring extra coding. This enables companies across diverse sectors, including e-commerce, financial services, and SaaS, to gain comprehensive insights into customer behavior and improve their products and services. With a mission to empower businesses with accurate data, Heap serves over 6,000 clients, allowing them to focus on actionable insights and optimize conversion rates effectively.

Yellowbrick Data

Series C in 2021
Yellowbrick Data, Inc. is a technology company founded in 2014 and headquartered in Palo Alto, California, with additional offices in Salt Lake City, Hong Kong, and London. The company specializes in developing and deploying data warehouse solutions, offering both on-premises and cloud-based options. Its platform is designed to efficiently store, transform, and analyze large volumes of business data, enabling organizations to run complex mixed workloads and support numerous concurrent users. Yellowbrick’s data warehouse allows for seamless analytics across various environments, including private and public clouds, while delivering superior performance and cost-effectiveness. By addressing challenges such as high availability and scalability, Yellowbrick Data empowers enterprises to make faster, data-driven decisions.

Heap

Series C in 2019
Heap Inc. develops an analytics platform designed to enhance decision-making for online businesses by automating the collection and analysis of customer interaction data. Founded in 2012 and headquartered in San Francisco, California, with additional offices in New York and Utah, Heap's solution captures various user interactions, such as clicks, submissions, and transactions, without requiring extra coding. This enables companies across diverse sectors, including e-commerce, financial services, and SaaS, to gain comprehensive insights into customer behavior and improve their products and services. With a mission to empower businesses with accurate data, Heap serves over 6,000 clients, allowing them to focus on actionable insights and optimize conversion rates effectively.

Yellowbrick Data

Series C in 2019
Yellowbrick Data, Inc. is a technology company founded in 2014 and headquartered in Palo Alto, California, with additional offices in Salt Lake City, Hong Kong, and London. The company specializes in developing and deploying data warehouse solutions, offering both on-premises and cloud-based options. Its platform is designed to efficiently store, transform, and analyze large volumes of business data, enabling organizations to run complex mixed workloads and support numerous concurrent users. Yellowbrick’s data warehouse allows for seamless analytics across various environments, including private and public clouds, while delivering superior performance and cost-effectiveness. By addressing challenges such as high availability and scalability, Yellowbrick Data empowers enterprises to make faster, data-driven decisions.

Unravel

Series C in 2019
Unravel Data Systems, Inc. is a company that specializes in enterprise-grade performance management software for big data applications. Founded in 2013 and based in Palo Alto, California, Unravel Data provides an AI-powered platform that enables users to analyze and optimize their data applications and clusters. This full-stack solution supports various big data systems, including Hadoop and Spark, and is designed for both on-premise and cloud environments. The platform enhances reliability and performance, maximizes cost savings across storage and compute resources, and boosts productivity in a self-service DataOps setting. Unravel Data serves a diverse clientele, including several Fortune 500 companies, by offering tools for monitoring, managing, and simplifying data pipelines while delivering actionable insights for performance improvement.

Waterline Data

Series C in 2018
Waterline Data offers an AI-driven data lifecycle management platform that facilitates data discovery and governance for enterprises. Its software employs machine learning to automate the cataloging of data assets, helping organizations discover, organize, and access trusted information across various data environments, including cloud and relational databases. The platform is particularly valuable for Chief Data Officers, Analysts, and Data Stewards, enabling self-service analytics and robust data governance in compliance with regulations such as GDPR and CCPA. By streamlining the management of enterprise data, Waterline Data helps companies reduce costs related to data redundancy and inefficiencies, making it easier to connect users with the data they need.

Yellowbrick Data

Series B in 2018
Yellowbrick Data, Inc. is a technology company founded in 2014 and headquartered in Palo Alto, California, with additional offices in Salt Lake City, Hong Kong, and London. The company specializes in developing and deploying data warehouse solutions, offering both on-premises and cloud-based options. Its platform is designed to efficiently store, transform, and analyze large volumes of business data, enabling organizations to run complex mixed workloads and support numerous concurrent users. Yellowbrick’s data warehouse allows for seamless analytics across various environments, including private and public clouds, while delivering superior performance and cost-effectiveness. By addressing challenges such as high availability and scalability, Yellowbrick Data empowers enterprises to make faster, data-driven decisions.

Yellowbrick Data

Series A in 2018
Yellowbrick Data, Inc. is a technology company founded in 2014 and headquartered in Palo Alto, California, with additional offices in Salt Lake City, Hong Kong, and London. The company specializes in developing and deploying data warehouse solutions, offering both on-premises and cloud-based options. Its platform is designed to efficiently store, transform, and analyze large volumes of business data, enabling organizations to run complex mixed workloads and support numerous concurrent users. Yellowbrick’s data warehouse allows for seamless analytics across various environments, including private and public clouds, while delivering superior performance and cost-effectiveness. By addressing challenges such as high availability and scalability, Yellowbrick Data empowers enterprises to make faster, data-driven decisions.

Alloy.ai

Series A in 2018
Alloy.ai operates a cloud-based platform that automates the collection and harmonization of retail, e-commerce, and supply chain data using artificial intelligence. This platform empowers consumer goods companies to gain insights into sales and inventory at various levels, from individual stores to specific SKUs. By providing inventory allocation, product forecasts, and order assessments, Alloy.ai enables businesses to achieve a unified view of their sales and inventory performance. The platform also offers retailer-specific metrics and tailored reports for comprehensive analytics on sales and operations. Serving a diverse clientele that includes both Fortune 100 firms and emerging startups, Alloy.ai enhances supply chain visibility and efficiency, allowing companies to respond to demand with agility and optimize their operations. Founded in 2015 and headquartered in San Francisco, Alloy.ai is focused on redefining information flow within the supply chain.

ClearBrain

Seed Round in 2018
ClearBrain, Inc. is a company that specializes in self-serve predictive analytics software designed specifically for marketers. Founded in 2016 and based in Palo Alto, California, ClearBrain enables users to identify potential customer conversions and churn before they occur. The platform allows marketers to create predictive audiences and discover benchmarks for various conversion events through a user-friendly point-and-click interface. By integrating with popular analytics tools like Segment and Heap, ClearBrain automates data transformation for predictive modeling without requiring any coding. Marketers can easily sync predictive audiences to their remarketing tools to enhance user retention and overall campaign effectiveness. As of March 2020, ClearBrain operates as a subsidiary of Amplitude Analytics, Inc., and is supported by experienced engineers with backgrounds in machine learning and marketing automation.

Unravel

Series B in 2018
Unravel Data Systems, Inc. is a company that specializes in enterprise-grade performance management software for big data applications. Founded in 2013 and based in Palo Alto, California, Unravel Data provides an AI-powered platform that enables users to analyze and optimize their data applications and clusters. This full-stack solution supports various big data systems, including Hadoop and Spark, and is designed for both on-premise and cloud environments. The platform enhances reliability and performance, maximizes cost savings across storage and compute resources, and boosts productivity in a self-service DataOps setting. Unravel Data serves a diverse clientele, including several Fortune 500 companies, by offering tools for monitoring, managing, and simplifying data pipelines while delivering actionable insights for performance improvement.

Heap

Series B in 2017
Heap Inc. develops an analytics platform designed to enhance decision-making for online businesses by automating the collection and analysis of customer interaction data. Founded in 2012 and headquartered in San Francisco, California, with additional offices in New York and Utah, Heap's solution captures various user interactions, such as clicks, submissions, and transactions, without requiring extra coding. This enables companies across diverse sectors, including e-commerce, financial services, and SaaS, to gain comprehensive insights into customer behavior and improve their products and services. With a mission to empower businesses with accurate data, Heap serves over 6,000 clients, allowing them to focus on actionable insights and optimize conversion rates effectively.

Unravel

Series A in 2016
Unravel Data Systems, Inc. is a company that specializes in enterprise-grade performance management software for big data applications. Founded in 2013 and based in Palo Alto, California, Unravel Data provides an AI-powered platform that enables users to analyze and optimize their data applications and clusters. This full-stack solution supports various big data systems, including Hadoop and Spark, and is designed for both on-premise and cloud environments. The platform enhances reliability and performance, maximizes cost savings across storage and compute resources, and boosts productivity in a self-service DataOps setting. Unravel Data serves a diverse clientele, including several Fortune 500 companies, by offering tools for monitoring, managing, and simplifying data pipelines while delivering actionable insights for performance improvement.

Heap

Series A in 2016
Heap Inc. develops an analytics platform designed to enhance decision-making for online businesses by automating the collection and analysis of customer interaction data. Founded in 2012 and headquartered in San Francisco, California, with additional offices in New York and Utah, Heap's solution captures various user interactions, such as clicks, submissions, and transactions, without requiring extra coding. This enables companies across diverse sectors, including e-commerce, financial services, and SaaS, to gain comprehensive insights into customer behavior and improve their products and services. With a mission to empower businesses with accurate data, Heap serves over 6,000 clients, allowing them to focus on actionable insights and optimize conversion rates effectively.

Waterline Data

Series A in 2014
Waterline Data offers an AI-driven data lifecycle management platform that facilitates data discovery and governance for enterprises. Its software employs machine learning to automate the cataloging of data assets, helping organizations discover, organize, and access trusted information across various data environments, including cloud and relational databases. The platform is particularly valuable for Chief Data Officers, Analysts, and Data Stewards, enabling self-service analytics and robust data governance in compliance with regulations such as GDPR and CCPA. By streamlining the management of enterprise data, Waterline Data helps companies reduce costs related to data redundancy and inefficiencies, making it easier to connect users with the data they need.

Gild

Series B in 2014
Gild is transforming the talent acquisition industry and fundamentally changing how the world hires. Fueled by data science, consumer-friendly technologies, and predictive analytics, Gild’s smart hiring platform powers the way companies find, nurture, and hire talent across all industries and functions. Gild is used by growing companies to hire the talent they need to innovate and succeed—smarter and faster. Founded in 2011, Gild is headquartered in San Francisco, with offices in Salt Lake City and Milan.

BeyondCore

Series A in 2014
BeyondCore offers a data analytics software solution designed for business users, enabling them to access insightful and actionable analytics without requiring advanced technical skills. Utilizing its Smart Data Discovery technology, BeyondCore automatically analyzes unique datasets, delivering relevant findings rapidly in formats like PowerPoint and Word. This approach eliminates the need for users to frame specific questions or engage in trial-and-error methods, providing instead a straightforward pathway to data-driven insights. The platform's capabilities include descriptive, diagnostic, predictive, and prescriptive analytics, all aimed at enhancing decision-making processes. BeyondCore's technology is the result of a decade of research and development, supported by over 20 patents, and has earned recognition as a leader in the industry, including accolades in the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms. The company serves a range of clients, including Fortune 500 companies, seeking to leverage data for improved business outcomes.

ParAccel

Series E in 2011
ParAccel is a data analysis platform that specializes in accelerating analytics for businesses, enabling them to innovate and compete effectively. The ParAccel Analytic Platform integrates an analytic database with advanced extensibility and integration technology, allowing organizations to access and leverage big data analytics in real-time. The company serves Fortune 1000 clients, helping them explore and utilize extensive data analytics capabilities. Founded in 2005 by Barry Zane, a member of the founding team at Netezza, ParAccel is headquartered in Campbell, California, with additional offices in San Diego and London.

ParAccel

Series C in 2009
ParAccel is a data analysis platform that specializes in accelerating analytics for businesses, enabling them to innovate and compete effectively. The ParAccel Analytic Platform integrates an analytic database with advanced extensibility and integration technology, allowing organizations to access and leverage big data analytics in real-time. The company serves Fortune 1000 clients, helping them explore and utilize extensive data analytics capabilities. Founded in 2005 by Barry Zane, a member of the founding team at Netezza, ParAccel is headquartered in Campbell, California, with additional offices in San Diego and London.

Kazeon

Series F in 2009
Kazeon Systems, Inc. is a provider of electronic discovery solutions based in Mountain View, California. Founded in 2003, the company offers a range of services including litigation support, information security, governance, and risk and compliance solutions. It also provides support and educational services for remote devices across various network types. Kazeon's Information Center assists clients in transforming their data centers into information centers, while its Information Server software automates the eDiscovery process, covering functions from identification and collection to analysis and review. Additionally, the company offers storage optimization solutions, including data consolidation, migration, archival, and backup search. As of 2009, Kazeon operates as a subsidiary of EMC Corporation.

Kazeon

Series C in 2006
Kazeon Systems, Inc. is a provider of electronic discovery solutions based in Mountain View, California. Founded in 2003, the company offers a range of services including litigation support, information security, governance, and risk and compliance solutions. It also provides support and educational services for remote devices across various network types. Kazeon's Information Center assists clients in transforming their data centers into information centers, while its Information Server software automates the eDiscovery process, covering functions from identification and collection to analysis and review. Additionally, the company offers storage optimization solutions, including data consolidation, migration, archival, and backup search. As of 2009, Kazeon operates as a subsidiary of EMC Corporation.

Intelligent Results

Series B in 2004
Intelligent Results enables companies in financial services, utilities, telecom, government, and retail to manage their business more dynamically with a new standard in customer analytics and decision management. The Intelligent Results PREDIGYTM software platform allows companies to better understand and predict customer behavior and then quickly plan and operationalize targeted strategies. This empowers companies to improve the customer experience, allocate resources more effectively, and increase profitability. Intelligent Results’ approach, platform and applications result from 20 years experience that began in the national labs

Intelligent Results

Series B in 2003
Intelligent Results enables companies in financial services, utilities, telecom, government, and retail to manage their business more dynamically with a new standard in customer analytics and decision management. The Intelligent Results PREDIGYTM software platform allows companies to better understand and predict customer behavior and then quickly plan and operationalize targeted strategies. This empowers companies to improve the customer experience, allocate resources more effectively, and increase profitability. Intelligent Results’ approach, platform and applications result from 20 years experience that began in the national labs
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