Healthcare AI & Data Development
From strategy to production: agentic AI, LLM/RAG applications, predictive analytics, and the healthcare data engineering foundation underneath all of it.
Capabilities
What's included
Healthcare AI strategy
Identify the highest-ROI AI use cases for your organization and a realistic path to production.
Agentic AI development
Multi-step AI agents that complete real operational workflows, with human review built in.
LLM & RAG applications
Retrieval-augmented generation over your clinical content, grounded and citation-aware.
Clinical NLP & data extraction
Extract structured data — diagnoses, medications, orders — from unstructured clinical text.
Predictive analytics & ML
Custom models for risk scoring, no-show prediction, and utilization forecasting.
Healthcare data engineering
Data pipelines, warehousing, and OMOP-based normalization that make AI and analytics possible.
What you get
Deliverables
- AI use case prioritization and roadmap
- Production AI agent or LLM/RAG application
- Evaluation framework for model accuracy and safety
- Human-in-the-loop review workflow for anything touching PHI or billing
- Data pipeline and infrastructure to support ongoing model use
Technology
Our stack
Where this shows up
Related solutions
FAQ
Common questions
Related services
Let's talk about healthcare ai & data development
Tell us what you're building. A senior healthcare technologist — not a salesperson — will get back to you within one business day.