AI

AI Systems Testing

Independent evaluation of models, assistants and AI-driven products, so you know how they behave before your users find out.

Evaluation run · liveScore %

AI insight · 17 of 2,400 cases flagged: the assistant reveals internal policy text when asked in German.

Eval suite v3 · 2,400 cases

What we cover

Four questions every AI system has to answer.

We test the model and the product around it: prompts, tools, data and user experience.

Correctness against ground truth and expert review, per intent and language.

Behavior under typos, noise, long contexts and unexpected inputs.

Jailbreaks, prompt injection, data leakage and harmful output.

Paired tests that reveal unequal treatment across user groups.

Latency, throughput and cost per request under real load.

AI inside cars, devices and networks, tested where it actually runs.

Continuous evaluation

We hand over a versioned regression suite that runs in your CI pipeline, so quality is measured on every prompt, model or data change.

How it works

01 · Scope
Map the system, its users and risks, and agree what a pass means.
02 · Build the test set
Curated and synthetic cases covering normal use, edge cases and attacks.
03 · Run & review
Automated scoring plus expert human review, in lab and field.
04 · Report & retest
Prioritized findings and a regression suite for every release.

Share your model, product or use case. We will propose an evaluation plan and timeline.