Enterprise AI without the silent failures.
Composo deploys a quality layer calibrated to your business logic in 2 to 4 weeks. SOC 2 Type II, EU data residency, on-premise option, full audit trail. Built for production AI systems where missed failures are material.
A failure report on your AI in under a week. Categorised by type, severity, and business impact.
The problem
"Our evals pass. Customers still tell us the AI is broken."
At enterprise scale, the failure modes are specific to how your business works. A customer service agent drops an escalation signal. A sales-assistance agent pulls the wrong contract into a proposal. A support agent gives a refund commitment it should not give.
Generic LLM-as-judge treats these as "fine" because the grammar is correct and the tone is polite. The specific thing that matters to your business - the escalation trigger, the contract-selection rule, the refund policy - is invisible to a generic evaluator.
Composo calibrates to what matters to your business during a 2 to 4 week deployment. After that, it catches those specific failures at production scale.
Use cases
Where Composo deploys in enterprise.
Customer service AI
Support agents, self-serve chat, complaint handling. Composo catches missed escalation triggers, incorrect policy application, and commitments the AI should not make.
Sales and revenue AI
Sales assistants, RFP response agents, proposal drafting. Catches contract misselection, pricing errors, and claims inconsistent with approved collateral.
Multi-tenant agent platforms
Per-tenant evaluation policies. Surface quality scores as a customer-facing metric. Catch tenant-specific failures without writing one-off evaluators.
Internal productivity AI
HR assistants, knowledge-base agents, internal tooling. Catches policy-inconsistent answers and fabricated internal references before they become real problems.
Analytics and reporting
Business intelligence assistants, report generation, data-narrative AI. Catches number fabrication, incorrect aggregations, and chart-caption drift.
Risk and governance
Model risk management, approval workflows, disclosure review. Provides audit-ready evaluation logs that support internal and external oversight.
Case study
Enterprise SaaS platform achieves 99.7% agent reliability.
A multi-tenant enterprise SaaS platform deployed Composo across its customer-facing agent system and moved agent reliability from 94% to 99.7% within the first month.
Read the case study →Enterprise procurement, handled.
SOC 2 Type II
Attestation under NDA
GDPR + DPA
EU data residency
VPC / On-prem
Available on request
Audit trails
Every evaluation logged
Frequently asked questions
What size of AI deployment is Composo appropriate for?
Composo deploys into production AI at scale: millions of traces per day, multi-tenant agent platforms, enterprise customer-facing AI. The economics work when evaluation quality is material to the business, which is almost always the case above a few thousand production traces per day.
How does Composo fit alongside our existing observability stack (Datadog, New Relic, Langfuse)?
Composo sits on top of tracing and observability. You keep your Datadog, New Relic, or Langfuse setup; Composo reads traces from them and evaluates quality. There is no rip-and-replace.
Can Composo handle multi-tenant SaaS products?
Yes. Composo supports per-tenant evaluation policies, which is especially relevant for multi-tenant agent platforms where different customers have different quality bars. One customer uses Composo to surface per-tenant quality scores as a customer-facing metric.
What does a Composo deployment look like in an enterprise?
A senior Composo engineer leads a 2 to 4 week deployment. Week 1: connect to traces, surface the initial failure taxonomy. Weeks 2 to 3: domain experts from your team calibrate the evaluation criteria. Week 4: production rollout, guardrail configuration, handover. Ongoing: the evaluation system keeps learning from new corrections, and your team owns the operation.
How does Composo support model risk management and governance?
Every evaluation is logged with trace, criteria, rationale, and any reviewer corrections. This supports internal model risk management frameworks and external audit. Composo is SOC 2 Type II, supports DPAs, and offers EU data residency and on-premise or VPC deployment for customers that require it.
See what your enterprise AI is getting wrong.
A failure report on your production AI. In under a week.