Pre-trained pipelines co-built with clinicians, analysts and risk officers — pick a domain to explore live demos.
Image · GLCM texture + Random Forest
Click the image to simulate texture-feature extraction (GLCM) and risk scoring with a Random Forest classifier trained on dermatoscopic markers.
CSV · K-means on claims data
Sub-specialties surface from billing patterns — used to tune referral networks and detect outlier providers automatically.
Chat · Grounded on specialized research
Claims + Dx history · cohort planning
| Patient | Dx history | 12mo cost | Care cluster | Risk |
|---|---|---|---|---|
| M. Alvarez | I50.9E11.65 | $48,200 | Cardio-metabolic | 91% |
| R. Petrova | I25.10N18.3 | $62,700 | Cardio-renal | 88% |
| T. Iwu | C50.9F32.2 | $71,400 | Onco-behavioral | 84% |
| S. Okafor | E11.9I10 | $29,800 | Cardio-metabolic | 69% |
Cohorts cluster patients by diagnosis & utilization trajectory so case managers can deploy tailored interventions — telehealth check-ins for cardio-renal, navigators for onco-behavioral.
Production-grade pipelines we've shipped or can stand up in under 6 weeks.
3D-CNN ranks suspected LVOs in under 90s for tele-neurology routing.
Whole-slide tumor segmentation + Ki-67 scoring with attention U-Nets.
LLM matches discharge meds to home regimen, flagging duplicates & DDIs.
Time-series transformer predicts sepsis 6h ahead of SIRS criteria.
Self-supervised models clean noisy ECG/PPG streams for at-home monitoring.
Policy-grounded LLM drafts auth letters with payer-specific evidence.
Each modality unlocks a portfolio of production patterns we ship with audit trails, evals and observability built-in.