The mechanism behindthe verification.
Most AI gives you one confident answer. Delibera gives you three competing analyses, mandatory dissent, and a synthesis that earns its conclusion. Here's the mechanism.
Pillar 01
Multi-Model Deliberation Architecture
Three AI models from different providers analyze your deal at the same time. Each has a different role. They challenge each other's conclusions over multiple rounds before anything gets synthesized. This is not multi-model routing — it's adversarial verification. Every leading platform can route tasks to different models. Delibera forces independent models to challenge each other's outputs on the same task. The models don't hand off work. They debate it.
- Three independent providers (different labs, different training data, different priors)
- Mandatory dissent protocol — agents must steel-man the counter-argument
- Gap-driven research — agents request the sources they need mid-deliberation, not just before it
- Round 0 convergence detection flags premature agreement
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Pillar 02
Blind Spot & Conflict Detection
When the models disagree on deal structure, regulatory exposure, or legal interpretation, you see the disagreement. Not a blended answer. The full range of defensible positions, with the evidence behind each one.
Example
On a recent deal analysis, one agent flagged 34% customer concentration as a diligence threshold breach. A second agent noted the concentration was declining quarter-over-quarter. The third agent pulled the actual contracts and found two of the three customers had 90-day termination clauses. The synthesis preserved all three views with the evidence chain.
- Dynamic blind spot audit — categories tuned per council
- Confidence reconciliation across agents before synthesis
- Dissenting view preserved in export — not averaged away
- The Hard Conversation section made mandatory on every output
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Pillar 03
Defensible Documentation & Audit Trail
Every question, every disagreement, every resolution gets timestamped. Sources are cited at the claim level. You can verify anything in the output and hand the record to a regulator.
- RSA-signed exports with chain-of-custody
- SHA-256 checksum on every document
- Source-grounded citations — CourtListener, SEC EDGAR, PubMed
- Regulatory alignment modes: SEC, FINRA, HIPAA, attorney-client privilege
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Built on Frontier Models from Six Providers
We pick the best model for the job — across every frontier lab.
No single lab has the best model for everything. We run models from six frontier providers and pick the right one for each part of the analysis. Model-agnostic by design.
Anthropic
OpenAI
Google
Meta
Mistral AI
Hugging FaceSee it run on a real matter.
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