This article covers the Seed funding round on 23 September 2025 for DaltonTx, a London, UK-based provider of a disease- and technology-agnostic adaptive platform, founded by Dr Garry Pairaudeau, Adrian Rossall, Dr Anthony Bradley, and Professor Charlotte Deane MBE. It raised £4m in Seed funding from lead investor redalpine and IQ Capital Partners.
DaltonTx offers a platform that supports drug research for small molecules and biologics. It enables scientists to combine their expertise with an iterative engine to design and optimise drug candidates.
Scientists face complex, fragmented R&D pipelines that are hard to adapt across diseases and molecule types. Teams also struggle to combine human insight with machine learning in an iterative, collaborative way.
DaltonTx explains that it provides an adaptive, disease- and technology-agnostic platform for small molecules and biologics. The platform lets scientists interact with an engine that iterates, learns, and combines human insight with machine learning.
DaltonTx raised £4m in Seed funding, backed by redalpine and IQ Capital Partners alongside existing backers. This makes it the 29th largest funding round in September 2025 (44 recorded). By size, the round comes in 228th for 2025 (451 recorded) in the Startupmag database, as of 23 September 2025.
For details on how Startupmag compiles its rankings, view our Methodology.
The key investors in this funding were:
If you're researching potential backers in this space:
The founders of DaltonTx are Dr Garry Pairaudeau, Adrian Rossall, Dr Anthony Bradley and Professor Charlotte Deane MBE.
DaltonTx is based in London, UK.
DaltonTx operates in the biotech sector. The sector develops medicines and biological products using living cells and scientific research. It helps make new treatments and tests to improve people's health.
Key trends and challenges in Biotech:
Machine learning tools are increasingly paired with scientists to accelerate discovery. Example: AlphaFold improved protein structure prediction and sped biologics research.
New computational methods must meet strict evidence standards before clinical use. Regulators often require transparent algorithms and clinical validation through trials.
Bringing new therapies to market commonly takes over ten years. Development costs frequently exceed one billion dollars per approved drug, limiting small players.
For a deeper look at innovation in this space, see the latest funded Biotech startups in the UK
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