Point72 Ventures

Point72 Ventures is a global venture capital firm founded in 2016 and based in Stamford, Connecticut, with additional offices in New York City, Palo Alto, and San Francisco. The firm specializes in early-stage investments across various sectors, including financial technology, artificial intelligence, machine learning, advanced manufacturing, and healthcare. With a focus on providing capital ranging from $0.25 million to $50 million, Point72 Ventures is equipped to support companies at all stages of growth. As an independent arm of Point72, a global asset management firm, it leverages insights into the global economy to guide its investment strategies. The firm is managed by a team of diverse domain experts, ensuring informed decision-making in the rapidly evolving technology landscape.

Marta Andres-Terre

Investor

Brie Blumenthal

Associate

Noah Carr

Partner

Sri Chandrasekar

Managing Partner

Elizaveta Chistyakova

Vice President

Alessandro Contreras

Analyst

Wyeth Coulter

Associate

Sabrina Dammholz

Analyst

Kristen Dumbeck

Vice President

Ryan Fauber

Associate

Daniel Gwak

Partner

Gaelen Hendrickson

Associate

Azhar Hussain

Investor

Eddie Kang

Partner, Growth Investments

James Kibbie

Associate

Graham Littlehale

Associate

Caitlin Lohrenz

Associate

Jeffrey Lu

Vice President

Cameron McGinn

Associate

Chris Morales

Partner

Arjo Mozumder

Investor

Cody Ng

Associate

Ivy Nguyen

AI Investor

Parker Odrich

Associate

Olivia Ostrover

Associate

Sugam Sarin

Principal, Investment

Ben Shor

Associate

Tripp Shriner

Partner, Investments

Ishan Sinha

Principal, Investments

Tara Stokes

Principal, Investment

Alex Tarhini

Operating Partner

Past deals in Language Processing

Tenyx

Seed Round in 2022
Developer of an artificial intelligence technology platform intended to power the next generation of intelligent voice-based customer service agents. The company's platform uses proprietary neuroscience-inspired artificial intelligence technology to tackle some of the core challenges facing existing artificial intelligence services, enabling clients to learn continually from new information in real-time.

PolyAI

Series A in 2021
PolyAI is a London-based company that develops a machine learning platform for conversational artificial intelligence.

Unbabel

Series C in 2019
Unbabel Inc. offers online translation services that bridge language gaps for businesses, allowing them to communicate effectively with customers worldwide. Established in 2013 and headquartered in San Francisco, the company employs a combination of advanced AI technology and a global network of human translators to deliver high-quality translations. Unbabel's platform focuses on user-generated content, including emails, customer service interactions, and digital communications, ensuring that enterprises can provide support in their customers' native languages. With offices in New York, Pittsburgh, and Lisbon, Unbabel serves prominent brands like Facebook, Microsoft, Booking.com, and EasyJet, enhancing customer satisfaction and streamlining support operations. The company has raised over $31 million in funding and employs more than 200 individuals across its locations.

PolyAI

Series A in 2019
PolyAI is a London-based company that develops a machine learning platform for conversational artificial intelligence.

Agolo

Seed Round in 2017
Agolo, Inc. is a technology company that specializes in developing an artificial intelligence platform designed to create real-time summaries from unstructured data. Founded in 2012 and based in New York, Agolo employs machine learning and natural language processing to analyze vast amounts of information, enabling users to quickly grasp key points relevant to their interests. The platform enhances the efficiency of analysts by summarizing thousands of documents and identifying connections between subjects, thereby facilitating better decision-making in fields such as finance and intelligence. By streamlining the information processing workflow, Agolo allows professionals to focus on strategic actions rather than data interpretation.
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