Isomorphic Labs Secures $600M to Advance AI Drug Design

Mar 31, 2025
Isomorphic Labs, a spinout from DeepMind, has raised $600 million in its first external funding round led by Thrive Capital, with participation from Google Ventures and Alphabet.

Isomorphic Labs, a spinout from DeepMind, has raised $600 million in its first external funding round. The round was led by Thrive Capital, with participation from Google Ventures and Alphabet. This funding aims to accelerate the development of Isomorphic Labs' AI drug design engine and advance its drug candidates to clinical trials by the end of the year.

The company, headquartered in London with an office in Lausanne, Switzerland, is focused on reducing the time required to discover new medicines. It leverages DeepMind's AlphaFold technology to predict protein interactions with other molecules, applying this to a broader range of biological molecules. Isomorphic Labs has partnered with pharmaceutical giants like Eli Lilly and Novartis and is primarily focused on oncology and immunology.

Demis Hassabis, founder and CEO of Isomorphic Labs, stated that the funding will enhance their AI research and development efforts and expand their team. The company has been on a rapid growth trajectory since its inception in 2021, having quadrupled its R&D spending in 2023.

We hope you enjoyed this article

Free newsletter

AI Funding Brief

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.