Composo

Founded by Sebastian Fox & Luke Markham & Haoguo Wu in 2023

Evaluate production AI agent outputs and detect failure modes using expert human judgement

Pricing model

Free Trial, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Composo to evaluate the quality and accuracy of production AI agent outputs against expert human ground truth. It monitors AI outputs before they reach end users, catching errors, hallucinations, and omissions. The system automatically groups failures into categorized modes to expose unknown risks, and routes ambiguous edge cases to domain experts for review. Additionally, Composo produces audit trails with step-by-step reasoning and source citations for every evaluation, allowing engineering teams to benchmark models and refine evaluations over time.

What Composo does

Inspect production AI traces for accuracy and factual omissionsBlock faulty model generations using pre-execution guardrailsCluster recurring LLM errors into structured failure categoriesEscalate borderline model responses to human domain expertsGenerate audit reports detailing evaluation reasoning and citationsRun standardized benchmark evaluations across updated model releasesCalibrate LLM-as-a-judge scoring against expert feedbackCalibrated judge that intercepts flawed AI outputs before reaching usersContinuous production monitoring that refines scoring based on expert correctionsAutomated failure-mode discovery clustering emerging AI errors into named categoriesIntelligent escalation routing only uncertain cases to human domain expertsComplete audit trail documenting reasoning and citations for every evaluationOmission detection identifying critical missing information in model outputsDomain-specific benchmarking datasets across healthcare, legal, and finance