Clinical AI Is Scaling.
You're Flying It Blind

For radiology, pathology, and clinical decision support workflows

Your AI systems need governance before they break patients' trust.

What We Built

Medical Receipts icon — cryptographic audit trails for AI decisions

Medical Receipts

Cryptographic records of every AI decision. Required for EU AI Act Article 12.

Bias Detection icon — monitor patient outcomes across demographics

Bias Detection

Monitor outcomes across patient demographics. Flag drift before it harms patients. Article 14 requirement.

Human Oversight icon — clinical decision routing for high-risk cases

Human Oversight

High-risk clinical decisions route back to clinicians for final sign-off. Article 14 requirement.

Data Sovereignty icon — EU-based hosting with GDPR and HIPAA compliance

Data Sovereignty

EU-based hosting, encrypted at rest and in transit, GDPR-compliant. VPC or dedicated region options available. HIPAA-ready with BAA support.

Network Intelligence icon — privacy-preserving shared pattern detection

Network Intelligence

Privacy-preserving shared pattern database. When we detect a dangerous pattern for one hospital, all customers benefit from faster detection — without sharing any patient data. Gets smarter with every customer.

Built For

Radiology AI vendors
Clinical decision support platforms
Hospital AI governance teams
Pathology AI systems
Medical imaging companies
Healthcare AI startups
AI platform teams

Why Aqta vs Building In-House

Build In-House

  • • 12-18 months to production
  • • €1.5M total cost (Year 1)
  • • 3 senior engineers needed
  • • Risk of missing healthcare compliance edge cases
  • • Ongoing maintenance + annual audit cycles
  • • Build own circuit breaker logic
  • • Implement own bias detection

Use Aqta

  • • 2 weeks to production
  • • €999/month
  • • HIPAA-ready, EU AI Act-ready (proven)
  • • Infrastructure updates included
  • • Annual compliance cycles handled
  • • Pre-built: runtime monitoring, cost controls, bias detection, HITL routing
  • • Ongoing R&D on AI safety patterns

Integration: 2 days | Testing: 1 week | Compliance review: 3-5 days

Year 1 Savings: €1.48M

Year 2+ Savings: €358K/year

For a typical tertiary hospital rollout

Based on early conversations with healthcare teams: they don't want to hire 2-3 specialists and wait 12-18 months. They want governance they can deploy in weeks.

Get Started

Start your 30-day pilot program or view pricing options

1 Prof. Dr. Mathias Goyen, CMO at GE Healthcare
LinkedIn 'We Are Training AI on Our Worst Medical Habits' (29 Jan 2026)