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.

Do you meet accessibility requirements?

Yes — accessibility (WCAG) is built in, which is both a legal and ethical requirement for public services.

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 × Government & GovTech

Custom GPTs & RAG Systems for Government & GovTech

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

Government & GovTech 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. Citizen portals, grant management, and RFP tools built for accessibility, transparency, and scale.

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 government & govtech teams specifically, public services run on aging systems that are hard to use and harder to change. Accessibility and transparency requirements add real constraints.

02Our approach — the Forge Method, applied

01Blueprint how government & govtech 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 government & govtech 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 government & govtech 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
Citizen service portals
Grant & RFP management systems
Case & permit workflows
Accessibility-first interfaces (WCAG)
Secure data platforms
Public reporting dashboards

//Outcomes

What you can expect

WCAG

accessible by default

Transparent

auditable processes

Cited

answers, not guesses

Private

your data stays yours

//FAQ

Questions, answered straight

Citizen portals, grant management, and RFP tools built for accessibility, transparency, and scale. 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