brAIn

Introducing brAIn — the missing piece for edge AI.

LoMaRe builds silicon that draws probability directly from device physics. Fully CMOS-compatible.

Heat spreaderlid
Host computedigital · unchanged · reads belief · interrupt
Conditioning · calibrationanalogue posterior accumulator
1T1R sampler arrayM memristive generators · sensor tap
Decisiona comparator · femtojoule class
watching · µW
pulses 0
bits 0
P(1) 0.50
ȳ 0.000 · σ 0.000
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Our technologies

Two IP lines. True randomness and non-volatile memory.

brAIn samples true randomness from a stochastic device that keeps a belief in analogue. PMRAM stores data in a deterministic multiferroic memory.

Our approach
Sampling isn't the bottleneck. Simulating it is.

Probabilistic workloads are conventionally expensive for one reason: randomness has to be manufactured — a PRNG, floating-point arithmetic and memory traffic spent producing each sample, imitating something physics does for free.

LoMaRe's primitive calibrates physical randomness into a controllable sampling operation — so probability becomes a native quantity in silicon.

Uncertainty is the next frontier of compute.

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