How do you reduce hallucinations?

We ground answers in retrieved sources, return citations, constrain the model to known context, and run retrieval evals so accuracy is measured, not assumed.

Where does our data live?

In infrastructure you control. We design for privacy — your documents are not used to train third-party models.

Are your systems HIPAA-ready?

Yes — we architect for HIPAA with encryption, access controls, BAAs, and audit logging. We scope compliance requirements explicitly.

How fast can we ship and how do you price it?

Scope and price are locked before code at the Blueprint stage, tied to deliverables — outcomes, not hours. Tightly-scoped builds typically ship in a 30–60 day window.

//AI Automation × Custom GPTs & RAG Systems × Healthcare

Custom GPTs & RAG Systems for Healthcare

Retrieval-augmented systems and custom GPTs grounded in your own documents and data — accurate, cited, and private. Engineered for healthcare teams.

Healthcare teams don't need a generic vendor — they need custom gpts & rag systems built around how they actually operate. Retrieval-augmented systems and custom GPTs grounded in your own documents and data — accurate, cited, and private. Patient portals, telehealth apps, and HIPAA-ready systems engineered for privacy, reliability, and real clinical workflows.

01What's broken without us

Generic models don't know your policies, products, or history — and they hallucinate. Your knowledge is trapped in PDFs, wikis, and people's heads. For healthcare teams specifically, clinical workflows are buried in paperwork and disconnected systems. Patient experience suffers, staff burn out on admin, and compliance is a constant worry.

02Our approach — the Forge Method, applied

01Blueprint how healthcare teams actually use custom gpts & rag systems today, and lock scope, price, and the metric before code.
02Prototype the highest-value custom gpts & rag systems loop against real healthcare data — not a generic demo.
03Forge a production-grade build on Pinecone, Weaviate, pgvector, with CI/CD and observability from day one.
04Harden and hand off documented, ready for healthcare teams to extend.

//Capabilities

Custom GPT configuration & deployment
RAG knowledge-base architecture
Document ingestion pipelines
Semantic & hybrid search
AI over your internal data
Vector DB setup (Pinecone, Weaviate)
Fine-tuning & prompt engineering
Multi-source knowledge retrieval
Patient portals & telehealth apps
HIPAA-ready data systems
Voice AI for scheduling & triage
Clinical workflow automation
Wearable & biometric integration
Secure messaging & records access

//Outcomes

What you can expect

HIPAA-ready

architecture

24/7

patient access

Cited

answers, not guesses

Private

your data stays yours

//FAQ

Questions, answered straight

Patient portals, telehealth apps, and HIPAA-ready systems engineered for privacy, reliability, and real clinical workflows. We bring custom gpts & rag systems depth to those exact systems rather than retrofitting a template.

//Explore further

//Next step

Is the build ready to scope?
Find out in the scorecard, or talk it through on a call.

Take the Build Readiness Scorecard