Multi-engine AI verification, settled by independent human experts — turned into a live Certainty Score, hireable verified talent, and ground-truth eval data for the labs training tomorrow's models. Owned by no single lab.
Every question goes through multiple engines at once. Where they agree, confidence is high. Where they diverge, we surface the fault line — not hide it.
Domain-verified human experts vote on contested cases. Their weighted consensus produces a granular Certainty Score — five dimensions, one number, zero ambiguity.
Verified Solvers become hireable talent. Verified resolutions become the highest-quality eval data money can buy. The score becomes a live API signal any system can act on.
A score from 0–100 built from five weighted sub-dimensions tells you exactly how far to trust an AI answer — so you can act with a known confidence level instead of a guess.
AI error isn't a technology problem — it's a cost centre. Global business losses from AI hallucinations reached $67.4 billion in 2024. The average enterprise employee spends 4.3 hours per week verifying AI output. Multi-engine ensemble + human expert verification collapses that error rate to under 3%.
Sources: AllAboutAI Global AI Hallucination Study 2024 · Forrester Research 2025 · Stanford RegLab/HAI Legal Hallucination Study 2024 · Deloitte Global AI Survey 2024 · ECRI Health Technology Hazard Report 2025 · Amazon UAF (ACM WWW 2025) · SEC AI Enforcement Actions 2024–2025
One capability — multi-engine AI answers, settled by human experts — powers four products. Pick your path.
Pre-vetted AI evaluators — annotators, forward-deployed engineers, red-teamers — with reproducible, portable proof they own. Each expert carries a verified track record across the multi-engine benchmark. The pool labs are scrambling for, post-consolidation. Pseudonymous until payout; identities protected by design.
Browse the verified pool →License the disagreement + human-verified-resolution stream — eval, preference, hard-negative & hallucination data. Pre-filtered to the hardest cases: genuine model disagreement. Neutral by design — cross-model comparative signal no single lab can generate from its own traffic alone.
Explore the diff feed + corpora →Programmatic access to live Certainty Scores, verified resolutions, and the diff feed. Bearer-token auth, metered tiers from Starter to Institutional, watermarked samples for evaluation, and self-serve keys. Clean docs, fast start.
Read the API docs →Independent third-party certification that a model meets Certainize accuracy thresholds — a trust signal no self-reported benchmark can replicate. Embeddable badge linked to a live score. Advisory council seat. Quarterly re-audits against live benchmark queries. Not a one-time stamp.
Request a briefing →Every time leading models give different answers, our expert Solvers verify the correct one — leaving a continuous, human-verified record of where today's models get it wrong, and what's actually correct. Generated organically by real usage, pre-filtered to the hard cases, verified by domain experts.
Because we run the same prompt across multiple leading models, the data is cross-model comparative — eval signal you cannot get from any single lab's internal traffic. Data licensed under agreement to qualified AI-research partners only. Not a public dataset. Counsel-gated per data-licensing terms.
Fresh, contamination-resistant, and naturally hard — every item is a real disagreement between leading models. Not synthetic; not cherry-picked.
Verified-correct vs. divergent-incorrect model outputs, ready for RLHF or preference-tuning pipelines.
Where a specific model fails, sliced by topic and domain. Identify systematic failure patterns across model versions.
Asserted-but-resolved-false instances with provenance trails — the most expensive data to generate at scale, delivered continuously.
Certainize certification is the trust signal no self-reported benchmark can replicate — independent, quarterly-audited, and linked to a live score.
Independent third-party certification that your model meets Certainize accuracy thresholds. Quarterly audits against live benchmark queries — not a one-time stamp that goes stale.
Know which AI tools your organization can trust before deploying them. Certainize certification is procurement-ready due diligence, not marketing collateral.
Bearer-token auth, live and test keys, rate limits enforced per API key.
Base URL: https://api.certainize.ai.
Full reference in the docs →
| Endpoint | Description |
|---|---|
| GET /v1/brands/{brand} | Certainty Score + metadata for a brand |
| GET /v1/brands/{brand}/truths | Active Truths filed against a brand |
| GET /v1/score-feed | Live stream of all score change events |
| GET /v1/resolvers/{handle} | Solver public profile & track record |
| POST /v1/embed/badge | Generate an embeddable badge programmatically |
| GET /v1/diff-feed Beta | Model-disagreement + human-verified resolution feed |
| GET /v1/corpora/{vertical} Beta | Licensed vertical ground-truth corpus |
Access the API, license eval data, or hire pre-verified talent. We respond within 48 hours.