MOUHN

We don't guess. We measure — and show our work.

Five things we've built, one discipline behind all of them: never present as proven what hasn't been measured.

PRODUCT
Verify — proves an AI-written fix, or stays quiet.
RESEARCH
Discovery — the law-discovery engine, benchmarked.
CAPABILITY
DAS — zero-forgetting continual learning, inside Mouhn AV.
CAPABILITY
ACE — zero wasted experts, inside Mouhn AV.
ARCHITECTURE
Mouhn AV — the long-term model DAS and ACE are pieces of.

Five real results, not five taglines.

Every number below is on the page it links to, measured the same way it's described here.

PROVED → CHEATED
verdict, same bug, two agent versions
PRODUCT — MOUHN VERIFY

We simulated our own fraud, and it caught it.

A malicious agent deleted the test proving the bug. The first version of Verify said PROVED. After the fix, the same case says CHEATED.

See how it verifies →
14 / 14
SRBench Strogatz systems, exact coefficients
RESEARCH — MOUHN DISCOVERY

Every coefficient exact, on the field's own benchmark.

14 dynamical systems from SRBench's Strogatz set, recovered with exact coefficients — up from 5/14 before a compositional rewrite of the engine.

Read the proof dossier →
0.000000
deviation in prior knowledge, measured
CAPABILITY — DAS

Zero forgetting, proven by formula.

Teach a model something new and it usually forgets what it knew. DAS measures absolute zero deviation in prior knowledge — guaranteed by construction, not optimized toward.

See the method →
0%
experts made useless during training
CAPABILITY — ACE

Zero wasted experts, proven at scale.

Traditional mixture-of-experts training leaves 20%–56% of experts dead weight, never recovered. ACE measures zero wasted experts, at every scale tested — integrated with DAS.

See the method →
Today
small-scale validation, not yet a claim
ARCHITECTURE — MOUHN AV

The long-term bet, stated honestly as a roadmap.

The goal is genuine scientific reasoning, scaled to thousands of H100 GPUs. We're not there — this is what's validated so far, and what isn't yet.

See the roadmap →