Engineering
Data & AI Platforms
Data platforms, analytics and applied AI — from pipelines and warehousing to models in production, with the audit trail that lets you explain any output.
A number should mean the same thing in every room
Most reporting problems are definition problems: two teams counting the same thing differently. We settle the definitions first, implement them once in the transformation layer, and let every dashboard read from that.
AI that can be questioned
A model that cannot explain itself cannot be deployed anywhere consequences follow. Every inference is recorded with its input, model version, confidence and the person who reviewed it — so a surprising output is an investigation rather than a mystery.
Where this was sharpened
Clinical AI holds the strictest version of this bar: an algorithm influencing a diagnosis must show its work to a regulator years later. That discipline transfers directly to credit decisions, fraud scoring and anything else that has to justify itself.
What this includes
- Pipelines, warehousing and transformation you can re-run
- Dashboards and reporting for operations and leadership
- Applied machine learning and LLM integration
- Model monitoring, drift detection and human review paths
- Provenance and versioning for every model decision
Related services
Hospital Information Systems
HIS and EMR platforms that unify registration, orders, pharmacy, billing and clinical documentation into a single patient record clinicians actually want to use.
PACS & Radiology Informatics
DICOM-native PACS, RIS and reporting workflows — built by a team that understands hanging protocols, worklists and what actually slows a radiologist down.
Interoperability Engineering
Integration engines and FHIR APIs that connect EMR, LIS, RIS, PACS and third-party systems — including the ones whose vendors stopped answering email.
Tell us what you are building.
Describe the problem rather than the solution. We reply with a considered view of what to tackle first — and say plainly if we are not the right fit.