About Confidentia
Reality Signal is built by a team that helped shape modern uncertainty quantification — with scientific founders and advisors who turned the theory into tools that work in production.
A reliability company for AI decision systems
From raw scores to optimized decisions.
Confidentia AI Inc. exists for one simple reason: raw model confidence is not a probability. When teams threshold on uncalibrated scores, they silently accumulate cost — through over-automation, unnecessary escalation, or expensive mistakes.
Reality Signal turns model outputs into true probability + uncertainty so AI engineers can route decisions with clarity, defend outcomes, and monitor reliability over time.
World‑class expertise in uncertainty quantification
Over 75 years of combined experience across industry and academia.
Prof. Vladimir Vovk↗ — a pioneer in uncertainty quantification and probability-based prediction.
Prof. Alexander Gammerman↗ — a founding figure behind conformal prediction and its practical use for reliable ML.
- • Calibrated probabilities you can threshold on
- • Uncertainty as a first-class signal
- • Monitoring for reliability in production