Science & AI

The Gosta Clinical AI Factory

Europe’s vertically integrated clinical AI infrastructure — from sovereign foundation model training to governed inference inside hospital walls.

We don’t wrap someone else’s model. We train, distill, deploy, and monitor our own — on European supercomputing, under European regulation, with clinicians in the loop at every layer.

Most healthcare AI is built around closed models. Ours is a factory: five layers of proprietary infrastructure, one continuous learning loop. You can certify a closed model. You can’t retrain it, inspect it, or improve it.

Most Healthcare AI

Interface
Owned
Closed model
Rented
No access to weights, training data, or the next version
AI management platform
Owned
Multilingual foundation models
Owned
Task-specific expert models
Owned
Clinical model harness
Owned
Clinical feedback flywheel
Owned
Custom Workflows

Shape your workflows.
See how they perform.

Gosta Studio helps clinical teams tailor documentation to their needs, while Gosta Insights gives authorized leaders a real-time view of adoption, activity and note quality.

Unified AI ManagementMultilingual Clinical ModelsTask-Specific Expert ModelsClinical Model HarnessClinical Feedback Flywheel
Healthcare provider gently holding an older patient's hands in a supportive gesture.
Everything above runs on our proprietary AI and data governance platform for healthcare — the system of record for every model, version, approval, and audit trail. Compliance isn’t a checklist we run at the end; it’s the foundation the factory is built on.
Healthcare provider gently holding an older patient's hands in a supportive gesture.
Our foundation models are trained and fine-tuned on LUMI, one of the world’s fastest supercomputers — EU-hosted, with complete data sovereignty. Post-training is physician-in-the-loop: our in-house medical experts annotate, rank, and validate as part of the training pipeline itself. Native clinical performance across five languages, not English models with translation bolted on.
Healthcare provider gently holding an older patient's hands in a supportive gesture.
We distill our foundation models into compact specialists — each optimized, validated, and versioned for a single clinical task. Right-sized from lean BERT-scale encoders to 27B+ parameter models, they run fast enough for agentic pipelines and lean enough to live inside a hospital.
Healthcare provider gently holding an older patient's hands in a supportive gesture.
Everything above runs on our proprietary AI and data governance platform for healthcare — the system of record for every model, version, approval, and audit trail. Compliance isn’t a checklist we run at the end; it’s the foundation the factory is built on.
Healthcare provider gently holding an older patient's hands in a supportive gesture.
Everything above runs on our proprietary AI and data governance platform for healthcare — the system of record for every model, version, approval, and audit trail. Compliance isn’t a checklist we run at the end; it’s the foundation the factory is built on.
Gosta AI Foundation

Train. Deploy. Monitor. Repeat.

The factory is a cycle, not a line. Surveillance findings from live clinical use become retraining data and new success criteria for the next training round on LUMI.

Train - LUMI Supercomputer

Synthetic data generation, fine-tuning, and training of task-specific clinical models on EU-hosted supercomputing with complete control over data privacy.

Deploy - Sovereign Inference

Validated models are served where your data lives. Same models, same governance — the jurisdiction is your choice.

Monitor - Post-Market Suveillance

Performance, output quality, cost, and drift tracked per model, per version. Structured clinician feedback from the live workflow. Every finding loops back into training.

Deploy · choose your jurisdiction

Deploy inside your walls

Deployed entirely inside the hospital’s own environment. Patient data never leaves.

Deploy on sovereign cloud

Hosted on sovereign infrastructure — EU providers under European jurisdiction end to end, or US sovereign infrastructure for American health systems with data-residency requirements.
The Science

A demo is not evidence.

Every model is measured against the clinical success criteria it was commissioned for — before it ever reaches a patient record.

Held-out validation

We build to medical-device standards because that’s what patients deserve.

Clinical benefit, not just accuracy

Critical health infrastructure should not depend on non-European providers.

Explicit contraindications

For every model, we define where it must not be used. Knowing a model’s limits is part of the model.

Controlled release

Limited pilots with named clinical owners, defined metrics, and a rollback plan — deployment is a change in clinical workflow, not a software release.

"This technology is reshaping and improving our clinical workflows. Documentation time has dropped by over two-thirds per visit, letting oncologists focus on what matters most: their patients"
Dr. Razvan Popescu
Medical Director at Tumor Zentrum Aargau
78%

of oncologists report improved focus on patient interactions

66%

reduction in documentation time per oncology visit

2.7x

return on investment based on efficiency and time savings

< 2min

median time to complete an EMR entry after a visit

Regulation as a design input

Built for the strictest regulatory environment in AI

European healthcare regulation isn’t an obstacle to route around — it’s the specification we build to. Owning the full stack is what makes certification possible.

EU MDR — Class IIa pathway

The sovereign model pathway enables development and certification of clinical AI as a medical device under the Medical Device Regulation.

EU AI Act — ISO/IEC 42001

A full AI Management System governs the lifecycle of every model — high-risk AI obligations engineered into the platform, not bolted on.

GDPR — Data sovereignty

EU-hosted training on LUMI, local inference inside hospital environments. Patient data stays where it belongs.

Gosta AI Foundation

Our science, in the open.

Investigating large language model (LLM) performance using in-context learning (ICL) for interpretation of ESMO and NCCN guidelines for lung cancer
Sanna Iivanainen, Jarkko Lagus, Henri Viertolahti, Lauri Sippola, Jussi Koivunen
Application of an oncology-tailored artificial intelligence (AI) assistant in real-world oncology consultations
R.A. Popescu, G. Popescu, V. Blum, A. Jakob, K. Tyriakidis, J. Parkkinen, L. Sippola, H. Viertolahti
Gosta Research program

Put our models to the test.

The Gosta Research Program offers academic and non-commercial researchers free access to our clinical AI models — OCR, de-identification, clinical coding, structured extraction — across five languages. Hosted by us, or deployed in your own GPU infrastructure.

Give your oncologists their time back

Tell us about your clinic and we'll show what Gosta can do.