Accel

Accel is a venture capital firm founded in 1983 and based in Palo Alto, California. It specializes in early and growth-stage investments, focusing primarily on technology startups in sectors such as cloud computing, software, digital media, and fintech. With additional offices in San Francisco, London, and Bangalore, Accel employs localized strategies to identify and support entrepreneurs capable of building category-defining businesses. The firm has a notable portfolio featuring companies like Facebook, Spotify, and Slack, reflecting its commitment to fostering innovation across various industries. Accel manages several funds, targeting investments ranging from $5 million to $15 million, and has a robust global presence that includes partnerships in India and China.

Radhika Ananth

Vice President

Radhika Ananth

Vice President

Yudi Anugrah

Investor

Casey Aylward

Partner

Julien Bek

Principal

Luca Bocchio

Partner

Andrew Braccia

General Partner

Andrei Brasoveanu

Partner

Katie Brown

Investor

Miles Clements

Partner

Adrian Colyer

Venture Partner

Kevin Comolli

Founding Partner

Anand Daniel

Partner

Ben Dooley

CFO

Peter Doyle

Investor

Christine Esserman

Partner

C. Alex Estevez

Venture Partner

Candice du Fretay

Investor

Rohit Ganapathy

Investor

Sameer Gandhi

Partner

Rishika Garg

Vice President

Martin Gibson

Technology Investor

Praachi Goenka

Investor

Bruce Golden

Partner

Graham Hutson

Investor

Sara Ittelson

Partner

Myrel Iturrey

Investor

Tanay Jagani

Investor

Chitranjan Jain

Investor

Dinesh Katiyar

Partner

Sanjay Khatri

Investor

Richard Kotite

Vice President

Gagan Kumar

General Partner

Ping Li

Partner

John Locke

Partner

Zhenya Loginov

Partner

Steve Loughlin

Partner

Eknoor Malhotra

Investor

Arun Mathew

Partner

Jonathan Mendelson

Investor

Gonzalo Mocorrea

Investor

Vasant Natarajan

Partner

Vas Natarajan

Partner

Harry Nelis

Partner

Nate Niparko

Partner

Maya S. Noeth

Partner

Rachit Parekh

Principal

Vijaysai Patnaik

Associate

Anagh Prasad

Investor

Varun Purandare

Principal and Investor

Ben Quazzo

Partner

Rafael Quintanilla

Investor

Aman Rai

Investor

Tim Rawlinson

Investor

Sagar Sanghvi

Partner

Antra Saxena

Investor

Tracy Sedlock

Chief Operating Partner

Jess Segal

IR Partner

Karan Shah

Investor

Manasi Shah

Investor

Sarthak Singh

Investor

Robert E. Sternberg

Investor

Diksha Sundarka

Investor

Prayank Swaroop

Partner

Ryan Sweeney

General Partner

Charles Tananbaum

Investor

Humza Tariq

Investor

Yuvraj Wadhwa

Investor

Cecilia Wang

Vice President

Matt Weigand

Partner

Eric Wolford

Venture Partner

Richard Wong

General Partner

Ivan Zhou

Partner

Hendrik Nelis Ph.D

Partner

Past deals in Machine Learning

AssemblyAI

Series B in 2022
AssemblyAI Inc. is a technology company that specializes in providing a robust speech-to-text application programming interface (API) designed for developers. Established in 2017 and headquartered in San Francisco, the company offers a high-accuracy API powered by advanced deep neural networks, ensuring continuous improvements to its transcription capabilities. AssemblyAI's API allows developers to create customized chat interfaces and voice-powered applications, enabling the transcription of phone calls and other audio sources. The service is designed for easy integration, supporting multiple programming languages, and it can handle large volumes of audio files or streams with low latency. AssemblyAI also offers dedicated customer support, including access to account managers and engineers available around the clock to assist users.

FinbotsAI

Series A in 2022
Finbots AI is an intelligent automation firm focusing on finance, risk and operations area.

AssemblyAI

Series A in 2022
AssemblyAI Inc. is a technology company that specializes in providing a robust speech-to-text application programming interface (API) designed for developers. Established in 2017 and headquartered in San Francisco, the company offers a high-accuracy API powered by advanced deep neural networks, ensuring continuous improvements to its transcription capabilities. AssemblyAI's API allows developers to create customized chat interfaces and voice-powered applications, enabling the transcription of phone calls and other audio sources. The service is designed for easy integration, supporting multiple programming languages, and it can handle large volumes of audio files or streams with low latency. AssemblyAI also offers dedicated customer support, including access to account managers and engineers available around the clock to assist users.

Deepnote

Series A in 2022
Deepnote is a collaboration platform designed specifically for data scientists, founded in 2019 and headquartered in Prague, Czech Republic. The platform provides development software that facilitates real-time collaboration among users. Key features include versioning, code review, and the reusability of algorithms, which enhance the efficiency of data analysis projects. Additionally, Deepnote offers tools such as variables and plots, code intelligence, shortcuts, and a command palette, along with capabilities for creating dashboards or APIs. This combination of functionalities aims to streamline the workflow of data scientists and improve the overall quality of their work.

Lincode

Venture Round in 2022
Lincode Labs Inc. is a technology company focused on providing software solutions for manufacturing enterprises to enhance product quality by identifying and eliminating defects. Its primary offering, LIVIS, is an AI-driven computer vision system designed to detect surface imperfections across a range of materials, including plastic, fabric, semiconductors, and metals. In addition to defect detection, LIVIS supports visual inspections, product efficiency improvements, warehouse automation, employee automation, as well as reporting and analysis functions. The company serves various sectors such as automotive, pharmaceutical, electronics, garments, steel, and print and packaging. Founded in 2018, Lincode is headquartered in Menlo Park, California, with an additional office located in Bengaluru, India.

Priceloop

Angel Round in 2021
Developer of a product pricing application designed to capture economic values by using data-driven pricing decisions. The company's application uses economic pricing decisions and machine learning techniques to set the prices of goods, enabling e-commerce and retail businesses to capture the market and generate revenue.

Akridata

Series A in 2021
Akridata solves AI Data Logistics challenges of Autonomous Vehicles. Its cloud-managed, scale-out platform spans edge (high speed ingest, prep and prioritization) to core (tiered storage and access). Benefits include global data access (anywhere, anytime), shorter training times, and upto 10x lower storage costs. Backed by Accel and Menlo Ventures.

SplashLearn

Series C in 2021
SplashLearn makes engaging learning experiences to nurture a generation of fearless learners. It is world's first scientifically-designed game-based curriculum spanning Pre-K to Grade 5 for Math and Reading. With data from 3+ billion completed activities, SplashLearn's adaptive algorithm offers each child a personalized learning experience that is fun and immersive. SplashLearn is one of the fastest-growing elementary school learning program in the world. It is used by millions of students in 150+ countries and is trusted by over 440k teachers in 77k schools. Backed by Accel Partners, SplashLearn has bagged many prestigious ed-tech awards such as the NASSCOM Emerge50, Parents Choice and Best App Ever and has been consistently featured among the best apps on the App Store.

Databand

Series A in 2020
Databand is a software company that specializes in providing a development framework and work management platform tailored for machine learning (ML) projects. Founded in 2018 and headquartered in the United States, with an additional office in Tel Aviv, Israel, Databand's platform addresses the unique challenges of ML development by offering a system that streamlines the integration, production, and testing of ML pipelines. It enhances visibility for data scientists and engineers, enabling them to build solutions quickly, iterate effectively, and productize improvements. The platform serves as a central monitoring hub, allowing teams to collaborate and manage pipeline run information, metadata, and project metrics in a cohesive manner. This specialized approach helps organizations, ranging from startups to large enterprises, overcome traditional limitations in ML development, ensuring robust data health standards while scaling their infrastructure.

Snorkel

Seed Round in 2020
Snorkel AI, Inc. is a technology company that specializes in developing an end-to-end machine-learning platform aimed at facilitating the creation, management, and monitoring of AI applications. Central to its offerings is Snorkel Flow, a data-first platform that enables users to programmatically label and augment training data, manage data for AI purposes, and deploy various machine learning models. The platform is particularly effective in extracting entities and structured information from complex documents, making it valuable across multiple sectors, including finance, government, telecommunications, healthcare, and e-commerce. Snorkel AI's innovative approach incorporates weak supervision technology, allowing both developers and non-developers to focus on data-related tasks efficiently. Founded in 2016 and headquartered in Palo Alto, California, Snorkel AI also contributes to the academic community by publishing peer-reviewed research on its core technologies.

Rasa

Series B in 2020
Rasa Technologies GmbH, founded in 2016 and based in Berlin, Germany, specializes in developing machine learning tools for creating conversational software, including chatbots and virtual assistants. The company offers a suite of products, notably Rasa Open Source, a widely adopted framework for building text- and voice-based AI assistants, and Rasa X, a toolset designed to enhance and share these assistants. Rasa Enterprise provides an enterprise-grade solution for developing contextual assistants at scale. Rasa's platform is utilized across various industries, including healthcare, insurance, banking, telecommunications, and travel, focusing on applications such as lead generation, internal process automation, and customer service. The company is known for its commitment to data privacy and security, catering to both startups and large enterprises.

Deepnote

Seed Round in 2020
Deepnote is a collaboration platform designed specifically for data scientists, founded in 2019 and headquartered in Prague, Czech Republic. The platform provides development software that facilitates real-time collaboration among users. Key features include versioning, code review, and the reusability of algorithms, which enhance the efficiency of data analysis projects. Additionally, Deepnote offers tools such as variables and plots, code intelligence, shortcuts, and a command palette, along with capabilities for creating dashboards or APIs. This combination of functionalities aims to streamline the workflow of data scientists and improve the overall quality of their work.

Scale AI

Series C in 2019
Scale AI, Inc. is a data platform that specializes in providing high-quality training and validation data for artificial intelligence applications. Founded in 2016 and based in San Francisco, the company offers a range of annotation tools, including platforms for 3D sensor data, images, videos, text, and documents. Its products support various AI tasks such as content moderation, transcription, and data comparison, and are utilized across multiple sectors including autonomous vehicles, retail, conversational AI, and robotics. Scale AI's technology enables companies to streamline their machine learning processes, allowing teams to concentrate on developing innovative models rather than the labor-intensive task of data labeling. The company serves notable clients in the technology and transportation industries, enhancing the efficiency and effectiveness of AI development.

Rasa

Series A in 2019
Rasa Technologies GmbH, founded in 2016 and based in Berlin, Germany, specializes in developing machine learning tools for creating conversational software, including chatbots and virtual assistants. The company offers a suite of products, notably Rasa Open Source, a widely adopted framework for building text- and voice-based AI assistants, and Rasa X, a toolset designed to enhance and share these assistants. Rasa Enterprise provides an enterprise-grade solution for developing contextual assistants at scale. Rasa's platform is utilized across various industries, including healthcare, insurance, banking, telecommunications, and travel, focusing on applications such as lead generation, internal process automation, and customer service. The company is known for its commitment to data privacy and security, catering to both startups and large enterprises.

Eder Labs (dba ColorIt)

Venture Round in 2019
Eder Labs enables enterprise AI adoption while ensuring data privacy, without requiring data to move from the source. Our product, Fluid, provides a secure computation bridge (using chip-level Trusted Execution Environments / Secure Enclaves), certified by Intel, for enterprise data owners and AI team(s) to engage securely and privately.

SplashLearn

Series B in 2019
SplashLearn makes engaging learning experiences to nurture a generation of fearless learners. It is world's first scientifically-designed game-based curriculum spanning Pre-K to Grade 5 for Math and Reading. With data from 3+ billion completed activities, SplashLearn's adaptive algorithm offers each child a personalized learning experience that is fun and immersive. SplashLearn is one of the fastest-growing elementary school learning program in the world. It is used by millions of students in 150+ countries and is trusted by over 440k teachers in 77k schools. Backed by Accel Partners, SplashLearn has bagged many prestigious ed-tech awards such as the NASSCOM Emerge50, Parents Choice and Best App Ever and has been consistently featured among the best apps on the App Store.

DeepMap

Series B in 2018
DeepMap, Inc. specializes in high-definition (HD) mapping and localization solutions tailored for autonomous vehicles. Founded in 2016 and located in Palo Alto, California, the company addresses the challenges of mapping and big data management for Level 4 and Level 5 autonomous driving. Its platform provides essential capabilities including HD maps, centimeter-level real-time localization for diverse road types and conditions, and simulation data, which are crucial for enabling self-driving cars to navigate complex environments safely and efficiently. DeepMap boasts a talented team with experience from leading companies such as Google and Apple, and collaborates with automotive industry partners to enhance the safety and reliability of autonomous mobility.

Knewton

Debt Financing in 2018
Knewton, Inc. is a developer of an online adaptive learning engine that personalizes education for students by providing tailored recommendations on what to study. The platform also equips teachers with analytics to enhance their support for individual students and offers publishers insights to create more effective digital educational products. Knewton's technology serves a range of subjects, including math, economics, and sciences, and is utilized by educational institutions and companies worldwide. In addition to its flagship product, Knewton offers Alta, an integrated adaptive learning courseware for higher education. Founded in 2008 and headquartered in New York, Knewton has expanded its presence internationally with offices in London, Tokyo, Singapore, and Dubai. The company has been recognized for its innovation in education technology, earning accolades such as being named a “Technology Pioneer” by the World Economic Forum.

Knewton

Venture Round in 2018
Knewton, Inc. is a developer of an online adaptive learning engine that personalizes education for students by providing tailored recommendations on what to study. The platform also equips teachers with analytics to enhance their support for individual students and offers publishers insights to create more effective digital educational products. Knewton's technology serves a range of subjects, including math, economics, and sciences, and is utilized by educational institutions and companies worldwide. In addition to its flagship product, Knewton offers Alta, an integrated adaptive learning courseware for higher education. Founded in 2008 and headquartered in New York, Knewton has expanded its presence internationally with offices in London, Tokyo, Singapore, and Dubai. The company has been recognized for its innovation in education technology, earning accolades such as being named a “Technology Pioneer” by the World Economic Forum.

Scale AI

Series B in 2018
Scale AI, Inc. is a data platform that specializes in providing high-quality training and validation data for artificial intelligence applications. Founded in 2016 and based in San Francisco, the company offers a range of annotation tools, including platforms for 3D sensor data, images, videos, text, and documents. Its products support various AI tasks such as content moderation, transcription, and data comparison, and are utilized across multiple sectors including autonomous vehicles, retail, conversational AI, and robotics. Scale AI's technology enables companies to streamline their machine learning processes, allowing teams to concentrate on developing innovative models rather than the labor-intensive task of data labeling. The company serves notable clients in the technology and transportation industries, enhancing the efficiency and effectiveness of AI development.

Scale AI

Series A in 2017
Scale AI, Inc. is a data platform that specializes in providing high-quality training and validation data for artificial intelligence applications. Founded in 2016 and based in San Francisco, the company offers a range of annotation tools, including platforms for 3D sensor data, images, videos, text, and documents. Its products support various AI tasks such as content moderation, transcription, and data comparison, and are utilized across multiple sectors including autonomous vehicles, retail, conversational AI, and robotics. Scale AI's technology enables companies to streamline their machine learning processes, allowing teams to concentrate on developing innovative models rather than the labor-intensive task of data labeling. The company serves notable clients in the technology and transportation industries, enhancing the efficiency and effectiveness of AI development.

DeepMap

Series A in 2017
DeepMap, Inc. specializes in high-definition (HD) mapping and localization solutions tailored for autonomous vehicles. Founded in 2016 and located in Palo Alto, California, the company addresses the challenges of mapping and big data management for Level 4 and Level 5 autonomous driving. Its platform provides essential capabilities including HD maps, centimeter-level real-time localization for diverse road types and conditions, and simulation data, which are crucial for enabling self-driving cars to navigate complex environments safely and efficiently. DeepMap boasts a talented team with experience from leading companies such as Google and Apple, and collaborates with automotive industry partners to enhance the safety and reliability of autonomous mobility.

Knewton

Series F in 2015
Knewton, Inc. is a developer of an online adaptive learning engine that personalizes education for students by providing tailored recommendations on what to study. The platform also equips teachers with analytics to enhance their support for individual students and offers publishers insights to create more effective digital educational products. Knewton's technology serves a range of subjects, including math, economics, and sciences, and is utilized by educational institutions and companies worldwide. In addition to its flagship product, Knewton offers Alta, an integrated adaptive learning courseware for higher education. Founded in 2008 and headquartered in New York, Knewton has expanded its presence internationally with offices in London, Tokyo, Singapore, and Dubai. The company has been recognized for its innovation in education technology, earning accolades such as being named a “Technology Pioneer” by the World Economic Forum.

Knewton

Series E in 2013
Knewton, Inc. is a developer of an online adaptive learning engine that personalizes education for students by providing tailored recommendations on what to study. The platform also equips teachers with analytics to enhance their support for individual students and offers publishers insights to create more effective digital educational products. Knewton's technology serves a range of subjects, including math, economics, and sciences, and is utilized by educational institutions and companies worldwide. In addition to its flagship product, Knewton offers Alta, an integrated adaptive learning courseware for higher education. Founded in 2008 and headquartered in New York, Knewton has expanded its presence internationally with offices in London, Tokyo, Singapore, and Dubai. The company has been recognized for its innovation in education technology, earning accolades such as being named a “Technology Pioneer” by the World Economic Forum.

Mind Lab

Series C in 2012
Mind Lab creates strategy games to develop the thinking abilities and life skills of K-12 students. It aims to teach children through its three pillars: thinking games, metacognitive methods, and teacher mediators. The company’s Methodology is an educational tool that supports the development of skills and helps young people deal with cognitive, emotional, social, and ethical challenges that transcend the classroom environment. Mind Lab was co-founded by Tzvika Feldfogel, Valmir J Pereira, and Ehud Shachar in 1994 and is based in São Paulo, Brazil.

Knewton

Series D in 2011
Knewton, Inc. is a developer of an online adaptive learning engine that personalizes education for students by providing tailored recommendations on what to study. The platform also equips teachers with analytics to enhance their support for individual students and offers publishers insights to create more effective digital educational products. Knewton's technology serves a range of subjects, including math, economics, and sciences, and is utilized by educational institutions and companies worldwide. In addition to its flagship product, Knewton offers Alta, an integrated adaptive learning courseware for higher education. Founded in 2008 and headquartered in New York, Knewton has expanded its presence internationally with offices in London, Tokyo, Singapore, and Dubai. The company has been recognized for its innovation in education technology, earning accolades such as being named a “Technology Pioneer” by the World Economic Forum.

Mind Lab

Series B in 2011
Mind Lab creates strategy games to develop the thinking abilities and life skills of K-12 students. It aims to teach children through its three pillars: thinking games, metacognitive methods, and teacher mediators. The company’s Methodology is an educational tool that supports the development of skills and helps young people deal with cognitive, emotional, social, and ethical challenges that transcend the classroom environment. Mind Lab was co-founded by Tzvika Feldfogel, Valmir J Pereira, and Ehud Shachar in 1994 and is based in São Paulo, Brazil.

Knewton

Series C in 2010
Knewton, Inc. is a developer of an online adaptive learning engine that personalizes education for students by providing tailored recommendations on what to study. The platform also equips teachers with analytics to enhance their support for individual students and offers publishers insights to create more effective digital educational products. Knewton's technology serves a range of subjects, including math, economics, and sciences, and is utilized by educational institutions and companies worldwide. In addition to its flagship product, Knewton offers Alta, an integrated adaptive learning courseware for higher education. Founded in 2008 and headquartered in New York, Knewton has expanded its presence internationally with offices in London, Tokyo, Singapore, and Dubai. The company has been recognized for its innovation in education technology, earning accolades such as being named a “Technology Pioneer” by the World Economic Forum.

Knewton

Series B in 2009
Knewton, Inc. is a developer of an online adaptive learning engine that personalizes education for students by providing tailored recommendations on what to study. The platform also equips teachers with analytics to enhance their support for individual students and offers publishers insights to create more effective digital educational products. Knewton's technology serves a range of subjects, including math, economics, and sciences, and is utilized by educational institutions and companies worldwide. In addition to its flagship product, Knewton offers Alta, an integrated adaptive learning courseware for higher education. Founded in 2008 and headquartered in New York, Knewton has expanded its presence internationally with offices in London, Tokyo, Singapore, and Dubai. The company has been recognized for its innovation in education technology, earning accolades such as being named a “Technology Pioneer” by the World Economic Forum.
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