Healthcare AI grounded in real clinical use cases
We don't sell generic 'generative AI.' We build agentic AI — LLM- and RAG-powered agents that complete multi-step healthcare workflows like documentation, triage, and prior auth — with the data engineering to support them.
AI/ML Services
What we build
Healthcare AI Strategy & Consulting
Identify the highest-ROI AI use cases for your organization and a realistic path to production.
Machine Learning Development
Custom ML models for prediction, classification, and risk scoring on clinical and operational data.
Predictive Analytics
Forecast patient risk, no-shows, and utilization to help teams act before problems escalate.
Generative AI
LLM-powered documentation, summarization, and content generation grounded in your clinical data.
Conversational AI & Chatbots
Patient-facing and internal chatbots for triage, FAQs, and administrative support.
AI Agents & Workflow Automation
Multi-step AI agents that complete structured healthcare workflows, with human review built in.
Natural Language Processing
Extract structured data — diagnoses, medications, orders — from unstructured clinical text.
Computer Vision
Image and document analysis for clinical and administrative use cases.
Recommendation Systems
Care pathway and content recommendations personalized to patient context.
Generative AI
Generative AI built around healthcare context
From ambient documentation to knowledge assistants grounded in your own clinical content.
Healthcare AI Use Cases
Where AI creates real value in healthcare operations
Patient Risk Prediction
Identify high-risk patients early using clinical and claims data.
Appointment No-Show Prediction
Reduce no-shows with predictive scheduling interventions.
Patient Triage
Route patients to the right level of care faster.
Clinical Documentation Automation
Draft structured notes from visit transcripts for clinician review.
Medical Record Summarization
Summarize long patient histories into concise, actionable briefs.
Prior Authorization Automation
Speed up prior auth workflows with AI-assisted document processing.
Claims Processing Automation
Automate repetitive claims review and exception handling.
Care Gap Identification
Surface care gaps against quality measures automatically.
Medication Adherence Prediction
Flag patients at risk of medication non-adherence.
Revenue Cycle Automation
Reduce manual work across billing and collections workflows.
Data & Analytics
The data foundation AI depends on
Have a healthcare AI use case in mind?
Tell us what you're building. A senior healthcare technologist — not a salesperson — will get back to you within one business day.