We believe technology can do more for people.

We learn from biology to build technology that is more efficient, more capable and more intuitive.

That could mean robots that behave in ways that feel familiar and natural, models that anticipate what comes next and systems that connect what they see, hear and sense.

Technology that helps people do more.

Intuition

defined by TBC

Intelligence that recognizes what matters, adapts in the moment and anticipates what comes next.

Evolution already did the R&D.

For decades, computing has taken inspiration from the brain.

We take the next step: growing real neurons, stimulating them with information and measuring how they respond and adapt to discover new ways to compute.

Not just inspired by biology. Derived from it.

Grow

Stimulate

Measure

From neurons to compute.

Real neurons show us what computing can be: efficient, adaptive and intuitive. Our roadmap is about bringing more of those advantages into technology.

Software

Neuron-derived software improves AI today.

Architecture

Neurons shape new AI architectures.

Biological compute

Neurons and silicon compute together.

We hold our work to high standards.

Scientific rigor, clear boundaries and transparency are built into how we work.

Open research

We share our methods, findings and limitations so others can examine, challenge and build on the work.
‍Read our blog

Clear boundaries

Our current discovery work uses neural cultures, not whole brains. There is no possibility for consciousness or sentience.

Measurable results

A biological discovery matters only if it improves AI. We test against baselines and clearly distinguish proven results from work in progress.

Built by people who know the brain firsthand.

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Before they were founders, Alex and Jon were neurosurgeons and neuroscientists. Years spent working directly with the brain convinced them that biology held capabilities computing was still struggling to recreate.

They started TBC around a simple belief: to build better intelligence, we should go back to nature and learn how it already works.

Meet the team building biological computing.

We work across disciplines every day, connecting experiments in real neurons to algorithms, benchmarks and products. The work does not stop at the edge of any one field. Neither do we.