◆ RAG SYSTEMS × HEALTHTECH

RAG systems development for healthtech

Production RAG — chunking strategy, embedding choice, hybrid retrieval, reranking, evals. The 90% that gets ignored when teams stop at "vector DB hooked up". 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.

RAG systems where it counts

Production RAG — chunking strategy, embedding choice, hybrid retrieval, reranking, evals. The 90% that gets ignored when teams stop at "vector DB hooked up".

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 RAG systems 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

pgvector / Qdrant / Pinecone OpenAI / Voyage / Cohere embeddings BM25 + dense hybrid Cohere / Voyage rerankers Ragas / TruLens evals
◆ PROCESS

How we ship

  1. Build a 100-question gold-set before touching embeddings.
  2. Baseline with naive retrieval, measure recall@k and faithfulness.
  3. Iterate: chunking → embedding → hybrid → rerank → metadata filters.
  4. Ship with eval CI — every prompt/embedding change is benchmarked.
◆ START A PROJECT

Tell us what you're building

We respond within 24 hours. NDA available on request.