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.

Can you meet our regulatory and audit requirements?

We build to regulated standards with full audit trails, access controls, and documentation. We scope compliance explicitly at blueprint stage.

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 × Finance & BFSI

Custom GPTs & RAG Systems for Finance & BFSI

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

Finance & BFSI 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. KYC platforms, loan origination, and compliance dashboards built to regulated standards — secure, auditable, and fast.

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 finance & bfsi teams specifically, compliance is manual and slow, legacy systems can't keep up, and every new product fights the existing stack. Risk and audit live in disconnected tools.

02Our approach — the Forge Method, applied

01Blueprint how finance & bfsi 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 finance & bfsi 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 finance & bfsi 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
KYC / AML platforms
Loan origination systems
Compliance & risk dashboards
Secure customer portals
Real-time fraud & anomaly detection
Core-system integration & modernization

//Outcomes

What you can expect

Faster

KYC onboarding

Auditable

by design

Cited

answers, not guesses

Private

your data stays yours

//FAQ

Questions, answered straight

KYC platforms, loan origination, and compliance dashboards built to regulated standards — secure, auditable, and fast. 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