AI Quality Engineering Platform

Test your AI the way you'd test anything you had to defend in production.

TrustQE is a purpose-built testing platform for AI systems — covering RAG pipelines, LLM outputs, agent behaviour, security vulnerabilities, and the Responsible AI checks that regulators and boards now expect.

Try it live, free → Request a walkthrough

No signup needed to try it. Full platform trial access is coming soon.

TrustQE compliance tab showing evidence packs mapped to EU AI Act, ISO 42001, and NIST AI RMF

Built by TrustAssay · 7 testing modules · Web UI · CLI · Provider-agnostic

Testing modules

Seven modules, one platform

RAG Assurance

Checks whether your AI's answers are actually backed by what it retrieved, not made up.

LLM Evaluation

Scores your AI's answers against your own test cases, not a generic third-party benchmark.

Security Testing

Probes your AI for prompt injection, jailbreaks, and data leaks before attackers do.

Agent & MAS Testing

Checks whether your AI agent completes multi-step tasks correctly and recovers when something goes wrong.

Responsible AI

Tests your AI for bias, unsafe responses, and the other issues regulators and boards care about.

Continuous Eval

Tracks your AI's quality over time so you catch regressions before your users do.

Explainability

Explains why your AI reached a given answer, for audit and governance needs.

Connection modes

Works with or without a live endpoint

Live App

Point TrustQE at a running endpoint. Connect your RAG pipeline, LLM, or agent directly, and every module tests real, live responses.

Enterprise

Nothing has to leave your network. Paste in responses you've already collected — most modules score them with the same depth as a live run. A few real-time checks, like drift monitoring, still need a live connection.

Two interfaces

Built for how engineering teams actually work

Web UI

No CLI access or scripting knowledge required. Explore results, review module outputs, and build evidence packs for stakeholders and auditors.

CLI

Fits naturally into automation and pipeline workflows. Run any module from the terminal, script multi-module test sequences, pipe results into your own tooling.

Product preview

See it in action

Dashboard

System health at a glance — with open gate failures surfaced immediately, not buried in a report.

Compliance evidence packs

Test results mapped directly to EU AI Act, ISO 42001, and NIST AI RMF controls — backed by a tamper-evident, HMAC-signed audit trail for security and procurement review.

TrustQE results table showing pass, fail, and gate decisions across modules

Results & gates

Every test pack — faithfulness, hallucination, injection, fairness, drift — with a clear pass, warn, or block decision against your own quality gates.

Model benchmark

Compare quality gates across providers or endpoints side by side — vendor-neutral, so the data drives the decision.

Screens shown from the TrustQE workbench with representative sample data.

Ecosystem integrations

Plugs into the tools your team already uses

RAGAS DeepEval Garak Promptfoo Langfuse LangGraph Azure Pipelines GitHub Actions

TrustQE ingests results from popular evaluation frameworks and observability platforms, and plugs into the agent frameworks and CI/CD pipelines your team already runs — so it fits where your team already works.

Why it exists

An AI system isn't production-ready because it works in a demo. It's production-ready when it can be tested, explained, and defended.

Most AI testing today is ad hoc — prompt experiments, manual spot-checks, borrowed benchmark scores. TrustQE replaces that with structured, repeatable assurance that stands up to audit.

See it on your own use case.

Trial access to connect the platform to your own AI system directly is coming soon. Prefer to talk it through first? Get in touch directly.

Get in touch → Back to TrustAssay