Healthcare AI you can cost, defend, and account for.
We build production AI for healthcare and life sciences: architecture that controls what inference costs to run, governance that keeps automated decisions defensible under review, and a use case order that puts the business case before the build.
Purpose-built for the questions healthcare and life sciences leaders are asking
Our team has built and shipped systems under HIPAA requirements since 2017, alongside work delivered under FDA device authorization, for providers, payers, diagnostics operators, and biopharma.
Why did our AI bill go up when model prices went down?
Diagnostics and lab teams face Medicare fee schedule cuts of up to 15% a year from 2027 through 2029. Falling model prices don't fix that. Architecture does. For Policy Reporter, a healthcare policy intelligence platform, we replaced a two-model pipeline with a single model, and accuracy rose from 80% to 93%.
Can our AI decisions survive an audit?
A federal court has already ordered a health insurer to produce its internal AI governance file, and a growing number of organizations report they cannot effectively enforce continuous least privilege for service accounts. We build the record regulators and courts ask for: an identity for every AI agent, access scoped to the task, and a decision trail that holds up under review.
Broad adoption, no attributable return. What now?
78% of life sciences executives expect AI to drive major change. Only 9% report significant returns (Deloitte, 2026). We rank use cases by return before anything gets built, so the business case exists before rollout, not after.
Process & Approach
We understand the challenges healthcare providers face and the opportunity that AI brings to the industry, and commit to delivering bleeding-edge solutions that treat all patients equitably.
Our expert team brings decades of experience in computer vision, natural language processing, predictive analytics, and more.
We also frequently adopt techniques that are less than 90 days old and are on the forefront of advances like federated learning and bias identification and mitigation.
We consider AI’s role in the larger healthcare system, data security and privacy, transparency, and professional production deployments, which will unlock AI’s potential to transform healthcare.
