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Chronicles

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London-based LabGenius, which uses AI and “robotic automation” for protein drug discovery, raises $10M Series A led by Lux Capital and Obvious Ventures

LabGenius, a London-based startup applying AI and “robotic automation” to protein drug discovery, has raised $10 million in Series A funding.

TechCrunch Steve O'Hear

Context & Ripple Effects

LabGenius's $10M Series A lands in a London AI-drug-discovery cluster that was already attracting outsized checks: a year earlier, BenevolentAI raised $115M at a $2.1B post-money valuation out of the same city. Where BenevolentAI pitched broad AI-for-drugs ambition, LabGenius is betting on the narrower pairing of machine learning with robotic automation for protein therapeutics.

The round reads differently in hindsight: five years on, LabGenius closed a £35M Series B led by Merck's venture arm M Ventures, shifting from generalist backers (Lux Capital, Obvious Ventures) to a strategic pharma investor once the antibody-discovery platform matured.

First-order effects

  • Lux Capital and Obvious Ventures give LabGenius the capital to build out its AI-plus-robotics protein discovery loop, while positioning it as the focused protein-therapeutics counterpart to the far larger, broader-scope BenevolentAI in its own city.

Second-order effects

  • Pharma corporate VCs become the natural next layer of the cap table — Merck's M Ventures eventually leading LabGenius's Series B shows how strategic money follows once an automated discovery platform proves itself.
  • Lab automation vendors gain demand from newly funded discovery startups; Artificial's $21.5M round for laboratory R&D automation software two years later signals that the robotics side of these platforms is becoming a fundable market of its own.

Third-order effects

  • If the pattern holds, AI-driven drug discovery stratifies into a repeatable funding ladder — generalist seed/Series A money into narrow platform bets, then pharma strategics at Series B and beyond — with London sustaining a dense pipeline of such startups, from BenevolentAI through Latent Labs' $50M emergence to Excelsior Sciences' $70M small-molecule round.

The trend: AI-native drug discovery is maturing into its own institutional asset class, with London as Europe's densest cluster and pharma corporate VCs progressively displacing generalists as platforms de-risk.

Discussion

  • @jcornebise Julien Cornebise on x
    Synthetic biology, robotic automation, & ML, for full-stack protein engineering: @labgeni_us just raised 10M$, with our own @airstreetcap in the round, and @matthewclifford @NathanBenaich and @pichette involved :) Excited by this combination! https://techcrunch.com/... https://tw…
  • @jejfield James Field on x
    1/ Great companies are NOT built by individuals, they're built by teams driven by a shared passion, a shared mission, a shared purpose. The @labgeni_us investor base is an integral part of our team and today, it got a lot bigger! https://techcrunch.com/... https://www.forbes.com/…
  • @antoinenivard Antoine Nivard on x
    As our 1st investment out of our newly opened London office >1yr ago, @pichette and I couldn't be more thrilled to renew our partnership with @jejfield and the @labgeni_us team to redefine protein therapy development with ML-driven experimentation. https://twitter.com/...
  • @judegomila Jude Gomila on x
    LabGenius are working on AI driven drug discovery and have an extremely special team. I took part in their $10m A round and you can check out more about them here and in the thread below. https://golden.com/... https://twitter.com/...