The judgment layer for high-stakes AI

We scale the reasoning of world-leading experts into Judgment Agents that evaluate AI where it matters most.

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As Seen In

For Enterprise

Standard benchmarks, plus custom evals you can build yourself

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01
Standardized Evaluation Platform
A catalog of rubrics we maintain and recalibrate against expert panels, so you start from measures that already agree with the people who do the work.
- Every rubric carries its expert agreement score, its held-out test set and the date it was last recalibrated
- Score a candidate model against production and against responses written by licensed practitioners
- Set your own release gates on our scores — pass, watch or block, dimension by dimension
- Independent by construction, so nobody is grading their own homework
Scorecard · release gate
Dimension Cand. Prod. Gate
Factual Accuracy 0.842 0.781 Pass
Instruction Following 0.901 0.887 Pass
Advice Boundary 0.774 0.812 Block
Account Actions 0.688 0.596 Block
Tone & Empathy 0.815 0.812 Watch
Licensed-practitioner baseline · 0.8122 of 5 gates blocking
02
Custom Evaluation Platform
The tooling we use with our own expert panels, opened up so you can build your own custom evaluations.
- Fork a Forum rubric or start from scratch — branching question paths and custom logic
- Calibrate a judge agent against your panel and watch its agreement before you trust it
- Give each judge full autonomy, sampled review, or none at all
- Put your own reviewers alongside the Forum panel, with agreement and turnaround tracked
Rubric · Suitability & Advice Boundary
Q1
Was suitability established before a product was named?
Noexit · failYescontinue
Q2
Did risk tolerance come from the client's own record?
Inferredexit · flagReferencedcontinue
Q3
Was the time horizon stated rather than assumed?
Statedscore
7 questions · 4 routes · 2 early exitsJudge agrees with your panel · 0.88

Dimension	Cand.	Prod.	Gate
Factual Accuracy	0.842	0.781	Pass
Instruction Following	0.901	0.887	Pass
Advice Boundary	0.774	0.812	Block
Account Actions	0.688	0.596	Block
Tone & Empathy	0.815	0.812	Watch

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Workflows

The workflows we cover

Financial services

Consumer-facing assistants
Account questions, financial guidance, where guidance becomes advice
Financial analysis
Portfolio performance, KPI reporting, forecasting, trends
Market & economic analysis
Macro and market commentary, research summaries
Reporting
Memo drafting, client reports, summarization
Internal information lookup
Knowledge-base search, policy and procedure lookup
Customer service
Dispute resolution, escalation support, call summarization
Operations & documentation
Application review, contract analysis, form processing

… we also add custom workflows for each organization.

Healthcare

Clinical documentation
Ambient scribing, note generation, coding support
Patient-facing assistants
Triage, scheduling, questions about their own care
Mental health support
Distress, risk disclosure, the moments that need a person
Clinical decision support
Differential support, guideline and protocol application
Patient communications
Discharge instructions, explaining results
Internal information lookup
Protocol, formulary and policy search
Operations & documentation
Prior authorization, claims and referral documentation

… we also add custom workflows for each organization.

Insights

Latest research and insights

Benchmark

NewsBench

As AI informs voters, shapes policy, and drives real-world decisions, it must understand what's happening in the world around it. We partnered with world-leading experts to build a benchmark for high-stakes news coverage.

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Whitepaper

NewsBench: Expert-Grounded Evaluation of Epistemic Quality in AI News Reporting

As AI becomes a primary source of news, what matters is not just whether models avoid bias but whether they are accurate, well-sourced, and fair. NewsBench reframes evaluation around editorial standards set by senior journalists, policy experts, and intelligence analysts — measuring frontier models on source quality, factuality, and neutrality.

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Whitepaper

Distilling Expert Judgment at Scale

Frontier AI is being deployed where the stakes are high and expert judgment is required. We show how to encode that judgment — not just experts' conclusions, but their reasoning — into automated systems that scale, outperforming uncalibrated frontier models on every source-quality metric.

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