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Ångström AI

30
ResearchLondon, United KingdomEst. 2024
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About

Ångström AI is a Cambridge University spinout founded in 2024 by Javier Antoran, José Miguel Hernández-Lobato, and Laurence Midgley. The company develops GenAI-based molecular simulations to substitute for wet lab experiments in pre-clinical drug development, combining quantum-accurate physics models with generative AI so that biotech and pharmaceutical clients can verify a drug candidate's efficacy and safety in computer simulations that match wet lab accuracy while running over 100x faster. The company uses the MACE (multi-atomic cluster expansion) physics model to reproduce quantum-mechanical interactions accurately, and its recent research showed simulations that are the first to match lab experiments when estimating hydration-free energies. Ångström AI accelerates MACE simulations using diffusion models to make them computationally affordable. It is backed by Y Combinator and was founded by a team of two PhDs and two Professors from Cambridge.

Quantum Specifications

Quantum Focushardware

Key People

JA
Javier Antoran
Co-founder
LM
Laurence Midgley
Co-founder

Backed By

Lakestar
Lightspeed Venture Partners
Quantum Coast Capital
Type One Ventures
Trumpf Venture
Gic Government Of Singapore Investment Corporation
Hercules Capital
Inven Capital

Application Areas

Drug discovery

Frequently Asked Questions

Ångström AI is a Cambridge University spinout founded in 2024 by Javier Antoran, José Miguel Hernández-Lobato, and Laurence Midgley. The company develops GenAI-based molecular simulations to substitute for wet lab experiments in pre-clinical drug development, combining quantum-accurate physics models with generative AI so that biotech and pharmaceutical clients can verify a drug candidate's efficacy and safety in computer simulations that match wet lab accuracy while running over 100x faster....
Ångström AI is headquartered in London, United Kingdom.
Ångström AI was founded in 2024.
Ångström AI operates in the following sectors: quantum simulation, quantum chemistry, quantum machine learning, quantum software, quantum pharma.