Assess
Reliability Assessment
Two weeks. We get inside your system, test where it breaks, and hand you a plan you can actually use.
- System map and findings report
- Severity-ranked recommendations
- Procurement-ready answers
- From $7,500
How we work
More than a one-time audit.
A real engineering partner when you need one.
The Reliability Assessment is the front door. Most clients need more than that. Here's how we actually work with healthcare AI teams — from a two-week review to ground-up builds.
Clients & Partners
Trusted by healthcare teams
who can't afford to be wrong
How we engage
Four ways
we show up.
Most engagements start with an assessment and grow from there. Some skip straight to engineering or fractional leadership. We meet you where you are.
Stabilize
Fix what's fragile
A focused engineering sprint to clean up what's broken. Retrieval quality, PHI exposure, audit gaps — the things that hurt you under real load.
- 4 to 8 week engagements
- Senior engineers, same team
- Scoped from assessment findings or your own audit
- Production-ready output
Build
Ground-up engineering
When you need to build the right thing the right way. Clinical AI, RAG pipelines, evidence retrieval, HIPAA-aware infrastructure — the full stack.
- 1-month+ rolling engagements
- Architecture led by Sam, built by senior team
- HIPAA and GDPR from day one
- Same team from start to finish
Lead
Fractional CTO
Strategic technical leadership when you don't yet need a full-time CTO. 25 years of healthcare software experience, including clinical AI in production today.
- Architecture, hiring, vendor decisions
- Product and engineering alignment
- Investor-facing technical credibility
- Available on retainer
What we bring to the build
Evidence retrieval,
done right.
Most healthcare AI teams cobble together RAG from open-source pieces and hope it holds. That's fine — until a clinician asks where an answer came from, or a security reviewer asks how PHI flows through it, or the model starts making things up under load.
We've built this layer in production. Source-traceable answers. Audit logging. Evidence ranking. PHI-safe pipelines. It's the engineering work underneath FunctionalMind and other systems we've shipped, and we bring it to client builds when it makes sense.
- Hybrid retrieval with re-ranking
- Source-traceable outputs
- PHI-safe pipelines and audit logging
- Fine-tuning and embedding strategy
- Production observability built in
- Integration with your existing stack
How it connects
Most engagements
grow.
An assessment surfaces what's broken. A stabilization sprint fixes the urgent stuff. A build engagement replaces what can't be saved. A fractional CTO retainer keeps the strategy and architecture aligned over time. The Evidence Retrieval capability sits underneath the engineering work whenever the system needs grounded, traceable clinical AI. Most clients start with one of these. The good ones grow into two or three.
Who this is for
- Healthcare AI companies past prototype, with real users or a real pilot
- Founders and CTOs building with LLMs, RAG, or medical NLP
- Teams approaching enterprise rollout, security review, or clinical deployment
- Companies that need senior technical judgment, not another consulting deck
Who this isn't for
- Pre-product ideation or pitch deck stage work
- Teams looking for the cheapest hourly rate
- Generic SaaS or non-healthcare AI projects
- Anyone who wants a checkbox audit and not real findings
Not sure which one fits?
Most engagements
start with a conversation.
We'll figure out where you actually are and what makes sense from there. No pitch deck, no pressure.