◆ AI / LLM APPS × HEALTHTECH

AI / LLM apps development for healthtech

We build LLM products that ship — not chat demos. Cost ceilings, fallback paths, evals, observability, and a real moat beyond the prompt. Tuned for healthtech — HIPAA-aware, audit-trail-first builds. Patient data, consent flows, EHR integrations, wearable data pipelines.

◆ WHY MIR

Why teams pick us

Healthtech-grade engineering

HIPAA-aware, audit-trail-first builds. Patient data, consent flows, EHR integrations, wearable data pipelines.

AI / LLM apps where it counts

We build LLM products that ship — not chat demos. Cost ceilings, fallback paths, evals, observability, and a real moat beyond the prompt.

Senior team, no pyramid

9+ years building outsourced product teams. Every engineer is a senior shipping production code — not a 5-person team with one architect on top.

◆ HEALTHTECH PAIN POINTS WE SOLVE

Where AI / LLM apps meets healthtech

HIPAA + GDPR overlap done correctly

We've shipped this in production. We design for it from day one — not as a retrofit.

Consent + audit logs from day one

We've shipped this in production. We design for it from day one — not as a retrofit.

EHR / FHIR integrations without vendor lock-in

We've shipped this in production. We design for it from day one — not as a retrofit.

PII isolation under regulatory review

We've shipped this in production. We design for it from day one — not as a retrofit.

◆ STACK

What we build with

OpenAI Anthropic Claude Vercel AI SDK LangChain / LlamaIndex (when justified) Postgres + pgvector Inngest / Trigger.dev Braintrust / Langfuse evals
◆ PROCESS

How we ship

  1. Define the eval set before you write the prompt.
  2. Ship a thin vertical slice in week 1 to learn the real failure modes.
  3. Add cost ceilings, retries, and human-in-the-loop where reliability matters.
  4. Instrument every call — latency, tokens, $, eval pass-rate.
◆ START A PROJECT

Tell us what you're building

We respond within 24 hours. NDA available on request.