frontier computing

growing brain systems that learn

we're a biocomputing company growing large-scale neuronal tissue — living hardware with continual learning baked into the substrate.

backed by Y Combinator · S26

latest

pixel-art rollout of biological neurones trained by frontier computing guiding a frog across four lanes of moving cars and a river of drifting logs

early rollouts: our neurones learning to play Frogger

our pursuit

we're growing scalable brain systems — the next-gen hardware layer for biocomputing.

biological neural tissue is already being trained — on games, on next-token prediction — but wetware has been stuck at the ~1M neurone scale by the vascularisation problem: past a geometric limit, cells sit too far from an oxygen supply and die. we've developed a tissue-culture approach that breaks that limit.

that lets us grow far larger biological neural nets — with continual learning baked into the substrate, the sample efficiency of living neurones, and inference-time training that sits an abstraction layer above backprop. we provide the interface substrate and cloud infrastructure for third parties to train on our systems.

careers

we're a small team based in Cambridge, UK, and we're hiring exceptional engineers and researchers across neurobiology, electrophysiology, electrical engineering, and reinforcement learning.

if our work sounds interesting to you, write to us at team@frontier.site with relevant information on your background.