Efficient AI for Public interest

and Patient Care

Enhance administrative efficiency and medical outcomes with secure, European-made AI that respects citizen’s privacy.

Optimized for sensitive data and sovereign infrastructure

Strict regulatory & ethical compliance

Fully aligned with GDPR and health data hosting standards (HDS). Sensitive patient records and citizen data remain strictly local, on-site, and fully encrypted, completely independent of foreign infrastructure.

Environmental & carbon sobriety

Deploy highly compact model architectures designed to operate efficiently on standard public servers. This optimized design minimizes required compute power, actively reducing the public sector's digital carbon footprint without compromising on execution speed.

Industry use cases

  • Clinical documentation support

    Powered by our core AlphaAudio engine, enable high-accuracy, real-time transcription of medical consultations directly into secure Electronic Health Record (EHR) systems to alleviate clinician administrative work.

  • Public record & archive digitization

    Leveraging our AlphaDigit vision engine, automate the conversion of massive historical public archives, legacy administrative registers, and handwritten physical medical charts into validated, structured digital assets.

  • Sovereign public support systems

    Deploy optimized, secure language layers capable of processing specific administrative workflows and helping operators navigate dense local regulations based entirely on verified institutional databases.

Q&A

Built for citizen trust

By ensuring our compact models function completely independent of extraterritorial cloud dependencies, we provide a trusted foundation for public institutions and healthcare networks. This architecture enables seamless local hosting on certified secure servers, guaranteeing that citizen records and private medical data are processed under strict European sovereign oversight.

Ready to build your sovereign AI roadmap?

Connect with our deeptech engineers to discuss architecting compliant, efficient language models within your secure infrastructure.