Frontier grows scalable biological brains as an ML training substrate
Frontier is first to grow biological brains at scale, serving biological neural nets with substrate-level colocation of memory and compute, enabling highly cost effective training of large parameter count models. While academia has traditionally been limited to ~1M neurons in vitro, Frontier has built a pathway to scale to 100M+ neurons by circumventing traditional scaling challenges in biological culture, demonstrating this strategy's functionality by training a biological brain using this scaling primitive to play Frogger. Frontier is now growing exascale compute clusters to produce substrates capable of long-horizon language reasoning while operating at much higher sample efficiencies than traditional architectures, and collocating memory with compute to enable significantly larger parameter counts than would be tractable for training within traditional compute clusters.
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The company website lists a Chief Scientific Officer, biological computing opening in Cambridge, UK. The linked detailed listing calls it Principal Investigator, Biological Computing, and describes it as a full-time, permanent founding scientific leadership role. Frontier also says it is hiring engineers and researchers across neurobiology, electrophysiology, electrical engineering, and reinforcement learning, but no additional named vacancies were found. Inferred: other hiring may be handled through direct applications or informal enquiries rather than separate posted listings.
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Frontier Computing is headquartered in London, United Kingdom.
Frontier Computing has 3 employees.
Frontier Computing's funding stage is y combinator summer 2026.
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