Care
We build hospitals and clinics, and we operate multiple of them. Each one is a Clinical Deployment Environment [CDE], where care runs as a relay from healthcare administration to patient follow-up. Care comes first; the data follows.
Arcophos blends the care of clinicians with the rigor of a research lab to build AI-native healthcare systems.
Learn how we work150 models · 25 labs · 10 boards
Data as of 23 Oct 2026
We build hospitals and clinics, and we operate multiple of them. Each one is a Clinical Deployment Environment [CDE], where care runs as a relay from healthcare administration to patient follow-up. Care comes first; the data follows.
We measure how frontier models perform on clinical work. Our Clinical Benchmarks Index, at clinicalbenchmarks.ai, reads published results from ten clinical benchmarks on one scale, each linked to the document it came from.
Each visit is designed to be captured as one episode. At four checkpoints the clinician commits a ranked differential before seeing what comes next; results stay sealed until the expectation is committed, and follow-up establishes the outcome.
Each visit is designed to become an episode: one dated record of what was expected, what was found and what happened next. De-identified episodes are used to train and evaluate models.
16 frontier models on 257 rubric-graded tasks, across eight subject areas of preventive and optimization medicine.
Our second benchmark, now in development.
An overview of multilingual clinical speech from East Africa.
Care runs as a relay, from healthcare administration and patient triage to medication prescription and patient follow-up. At four checkpoints the clinician commits a ranked differential before seeing what comes next, and results stay sealed until the call is made.
We run controlled experiments in our Clinical Deployment Environments to measurably improve frontier models in long-horizon, non-verifiable healthcare domains. Our Clinical Benchmarks Index is public, and every number in it links to its source.