One method, aimed at the signal everyone else misses — proven across gravitational waves, living cells, financial fraud, and two miles of rock. We find what forces a conclusion, and we say so only when it does.
Most detectors chase one strong feature and drown in noise. Ours turns many weak, independent signals into binary votes and stacks them to a threshold — a binary collapse cascade. The engine commits only when public, mechanical evidence compels it, and abstains, honestly, when it doesn't. A correct "no" is a result, not a failure.
Every weak correlate becomes a yes/no signal — no black-box weights, no overfitting to a leaderboard.
Votes accumulate until they cross a calibrated line. The crossing is the detection; the margin is the confidence.
Above the line, we commit and show our work. Below it, we abstain and tell you why — auditable end to end.
Blind peak-finding across 432 LIGO/GWOSC events — clean binary-black-hole detections separated from the hard cases by signal prominence alone.
Cell tracking through embryonic development — a classical detector-plus-linker whose honesty about over-detection beat a learned model on hidden data.
Cross-referencing Superfund contamination, Census demographics, and Medicaid cost-shift across hundreds of sites to surface externalized health costs.
Predicting true vertical thickness through two miles of rock by tracking the moving formation bed everyone else's models chased as noise.
Bring your data and your current model. We tell you what signal is really there — and what your model is only imagining.
A purpose-built cascade for your domain, delivered with its calibration, its abstention rules, and its evidence trail.
Independent, adversarial verification of a detection claim — the second opinion that holds up under cross-examination.
"I am because you are."
Ubuntu is the ethic that a thing is known through its relationships. Our detectors work the same way: a signal earns belief only through its coupling to independent evidence — never on its own say-so. That discipline is why our "yes" is worth trusting, and our "no" is worth just as much.
Tell us the problem you can't crack — the detection that keeps failing, the claim you need verified, the signal you suspect is buried in the noise.
Bring us your hardest problem