Create precision treatment plans backed by data, not guesswork
We build systems that analyze EHRs, past treatments, and outcomes to recommend the best next-step therapies for each patient’s profile.
We integrate genomic data with clinical workflows to support tailored treatment decisions for chronic illnesses, cancer care, and rare diseases.
We leverage patient-reported data and wearable input to adjust treatment suggestions—ensuring they align with actual habits, not just clinical theories.
Our models continuously learn and adjust based on real-time patient feedback, treatment progress, and side effects—ensuring ongoing personalization.
Powerful coding foundations that drive scalable solutions.
Enhanced tools and add-ons to accelerate development.
Secure, flexible, and future-ready infrastructure in the cloud.
Smart insights and visualization that bring data to life.
The clinician-first guide to AI that builds truly individual plans from genetics, history, lifestyle, and real-time feedback, with full explainability.
Generic protocols ignore what makes each patient unique, personalized treatment plans, tailored for every patient, should use AI to turn vast data into precise, adaptive care pathways that improve outcomes and cut risks without overwhelming providers. We ingest via HL7/FHIR and PACS connectors, normalize to a unified schema, engineer features in a secure lakehouse, then run online inference with tree-based ensembles, CNNs for imaging, Transformers for notes, and uplift/CATE models to predict heterogeneous treatment effects, ranking options with clear explanations, confidence scores, and risks.
Enable hyper-personalized care using continuous monitoring, predictive modeling, and dynamic treatment recommendations so patients get exactly what they need, when they need it.
