We develop language models specifically built for clinical medicine — with an emphasis on performance, safety, explainability, and the ability to be deployed fully on-premise. Hospitals retain complete control over their data.
Our core clinical language model, fine-tuned on curated medical literature and clinical data. It powers the internist.ai platform and serves as the backbone for our specialized downstream models.
Our open-source evaluation framework that tests whether medical AI models can reliably assess and calibrate their own reasoning — a critical safety requirement for clinical deployment.
How we decide what to build, what to measure, and what to ship.
Every model we release can be deployed on-premise. Nothing leaves your infrastructure unless you choose otherwise.
Our models augment clinical expertise, never replace it. Physicians retain meaningful control over the AI-assisted workflow.
We test for metacognition, pattern-recognition bias, and real-world utility — not just multiple-choice accuracy.
Our models, benchmarks, and evaluation code are released openly to advance the field and enable verification.
Pick the deployment model that matches your data-governance and infrastructure constraints.
Managed by internist.ai with enterprise-grade security and compliance.
Self-hosted within your infrastructure for maximum data control.
Combine cloud and on-premise components based on your needs.