It will lie with confidence.
One model, asked once, has no incentive to disagree with itself. The output reads fluently regardless of whether it is true.
27.1%hallucination rate, single-model legal QA, Stanford '24
One input. Every frontier AI. One verified answer. The protocol layer underneath AI decisions — running live on five models in front of you, as you read this.
That just happened. Live. On five frontier models. In under five seconds. · Run yours →
One model, asked once, has no incentive to disagree with itself. The output reads fluently regardless of whether it is true.
Re-run the same prompt twice. Get two different answers. There is no signature, no trail, no second opinion to anchor against.
Training data, RLHF, system prompts — each model arrives with priors. The questions it refuses to challenge are exactly the ones you need challenged.
Contract, claim, code, prompt. Any text. Any length up to 50K tokens.
Five frontier models read it independently. No shared context. No leakage.
Every disagreement is adversarially challenged. Models must defend or concede.
Survived consensus is hashed, signed, and returned with confidence score.
# Verify a contract clause against the panel $ curl -X POST https://api.getbridge.dev/v1/verify \ -H "Authorization: Bearer $BRIDGE_KEY" \ -d '{"content": "...", "tier": 2}' # < 4.8s later { "consensus_id": "c_7f2a91b4e8c3", "verdict": "verified_with_corrections", "confidence": 0.942, "models_agreed": 5, "rounds": 2, "corrections": [ { "id": "F-01", "severity": "high", "applied": true }, { "id": "F-02", "severity": "medium", "applied": true } ], "audit_hash": "a8f3...d91c" }▌
Most "confidence" in AI today is a softmax probability. A number the model assigns to its own answer. It is, by definition, not adversarial.
The BRIDGE score is different. It measures how much a claim survives when four other models try to break it.
Clause review against jurisdiction, precedent, and counterparty risk.
96.3% panel agreement · ↗ Contracts 02Security, performance, and behavioral correctness across diffs.
+38% defect detection vs single model · ↗ Code 03Insurance, medical, scientific. Every assertion adversarially tested.
2.1× faster review cycle · ↗ Claims 04Strategy memos, board decks, financial assumptions, market sizing.
$/decision-grade output · ↗ Business 05Triage notes, summaries, and decision support with auditable trail.
HIPAA-aligned deployment · ↗ Healthcare 06SOX, HIPAA, GDPR. Every claim cited, every cite verifiable.
SOC 2 in flight · ↗ ComplianceQuarterly performance data from real production workloads. The benchmark every AI lab quietly tracks — because we publish what they wouldn't.
Updated daily from 847,201 AI decisions verified this week.
SELECT COUNT(*) FROM consensus_records. Polled every 60s.
Need air-gapped, on-prem, or SLA-backed? Enterprise →
$ curl https://api.getbridge.dev/v1/verify \ -H "Authorization: Bearer $KEY" \ -d '{"content": "..."}'▌
from bridge import Bridge b = Bridge(api_key=KEY) r = b.verify(text, tier=2) print(r.confidence, r.verdict)▌
import { Bridge } from "bridge"; const b = new Bridge(KEY); const r = await b.verify(text); console.log(r.confidence);▌
No credit card. 100 verifications on the house.