From frontier research to systems that ship
We design, train, and deploy machine-learning systems end to end then integrate them into the workflows and tools our clients already run.
Clinical decision support
Triage, history-taking, and differential ranking that give clinicians a head start with calibrated confidence, never a black box.
Predictive analytics
Models that forecast risk, demand, and outcomes from operational and clinical data so teams can act earlier, not later.
Language & document intelligence
Turn unstructured notes, records, and reports into structured, searchable, decision-ready data your systems can use.
Applied ML engineering
From research prototype to production system evaluation, MLOps, and integration into the tools you already run.
Research, in the hands of real teams
AI you can put your name behind
The hard part of applied AI isn't the demo it's trust, safety, and fit. That's what we build for from day one.
Research-led
Our work starts in the lab. Methods are benchmarked and calibrated before anything reaches a clinician or a customer.
Domain teams
Clinicians, analysts, and ML engineers build side by side so the model fits the real workflow, not a whiteboard.
Privacy by architecture
De-identification and audit logging aren't features bolted on later they're how the systems are built.
Honest uncertainty
Every prediction carries calibrated confidence. Our systems are decision support never autopilot.
Let's build something that ships.
Whether you want to bring Triavi to your hospital or scope a custom AI system, we'd like to hear from you.