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Your Medical AI passed every test.
Then it met the real world...

Turns out, in some cases the system has been hallucinating.
For months.

You realize your AI is a black box,
and every output is a liability you can’t see coming.

This is where ailusive comes in. We make hallucinations visible before they can cause harm.

Everything you need to stay in control of AI quality.

Real-Time Output Validation

Know the quality of every output before it reaches the wrong hands.

Expert-Driven Benchmarking & Thresholds

One consistent standard across every model, every use case, every team.

Automatic Rollback

No quality regression goes unnoticed or uncorrected.

Human-in-the-Loop Control

Your experts can review, correct, and override directly in the workflow. Designed to counter automation bias and keep human judgment where it belongs.

Continuous Quality Monitoring

Quality doesn’t stop after deployment. IQC keeps measuring, every output, every time. Supporting post-market surveillance requirements.

Automated Compliance Documentation

Every decision is documented automatically. Ready for EU AI Act and MDR audits.

Our solution that works.

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More technical details

Trusted by institutions, recognized by the industry.

ailusive is a Fraunhofer spin-off backed by Fraunhofer Venture, built on 50+ years of combined expertise in AI quality evaluation.

A subset of IQC is currently being implemented on the SPARK platform for the German Federal Ministry for Digital and State Modernisation. Read more...

As active contributors to ISO standards 23282 and 42119-8, and the EU AI Act, we don’t just build for compliance, we build for the people at the center of every AI output.

All time most winning startup at START Nuremberg, winning the Road to START Summit pitch contest and coming in second at the Innovation Festival.

Become a pilot partner

We are currently onboarding a limited number of pilot partners. If you’re building or operating Medical AI and want to be among the first to embed expert-driven quality control, let’s talk.

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