Production AI for hospitals, EHR add-ons, and medical platforms. Clinical summarization, evidence-grounded copilots, on-prem deployment, and an eval suite that names accuracy, safety, and PHI handling as first-class metrics next to latency.
We have watched these patterns in hospital systems, EHR add-on vendors, and clinical-summarization startups. The shape repeats across geographies.
The fix is not a more confident demo. The fix is evidence: an eval suite a CMIO can read, an audit trail compliance can defend, and a deployment shape your security team signs off on.
Models tuned on one institution's note style, terminology, and workflow break when deployed at the next. Without a stratified eval, nobody notices until a clinician does.
PHI handling, audit trails, hallucination risk, FDA posture. The clinical leadership needs answers in the same meeting as the budget. Without an audit-grade stack, the answer is always 'we are working on it.'
Hospitals do not rebuild stacks every two years. Vector store, model provider, deployment shape, eval cadence — those choices get inherited by the next CIO and the one after that.
Eight-week engagements, eval suite at handoff, deployment shape your security team can sign off on. Bundle two when the problem warrants.
Discharge summaries, progress notes, and visit summaries that doctors trust enough to sign. Evidence-grounded, hallucination-bounded.
Accuracy, safety, and PHI handling as named metrics. Stratified per specialty, per institution, per population. Gated on every release.
A clinical copilot that cites guideline source-of-truth, not blog posts. PubMed, UpToDate-style internal libraries, internal protocols.
Run open-weights models inside your VPC or on your hardware. Air-gapped where required, PHI never leaves the boundary.
Every prompt, every completion, every clinician edit logged with retention controls. Audit trail SOC 2 + HIPAA defensible.
One-week audit of your clinical-AI stack with written decisions: vector store, model provider, deployment shape, eval cadence, audit posture.
Most engagements bundle two: a clinical build (01, 03) paired with the discipline that keeps it auditable (02, 05). Bring the shape closest to your blocker.
Scope your engagement →Want to see the K-Framework discipline behind every item? Read the K-Framework.
Boring tools that hospital security teams have already approved. Self-host where required, BAA-backed SaaS where acceptable.
The store, the index, the search
Embeddings, providers, fallbacks
The eval bar, the cost meter, the drift alarm
Type-safe everything
iOS + Android, native or cross
Whatever your infra already runs
Clinical notes processed in eval sets
PHI leaks across audited engagements
Summarization round-trip target
BAA-ready vendor selection by default
Eight weeks, fixed scope, eval suite + audit log at handoff. Direct LLM engineering on top of the K-Framework. Two Q3 slots remain.
