Custom GPTs & RAG Systems in United States
Retrieval-augmented systems and custom GPTs grounded in your own documents and data — accurate, cited, and private. Delivered to United States teams on your calendar.
Retrieval-augmented systems and custom GPTs grounded in your own documents and data — accurate, cited, and private. US founders and operators move fast and expect production-grade work. We lock scope and price before code, commit a ship window, and deliver against a metric — replacing agency hour-clocks and stalled internal projects.
US buyers choose between offshore shops that go quiet after handoff and US agencies billing senior-partner rates for mid-level delivery. Sector rules — HIPAA, SOC 2, state privacy law — get bolted on after launch instead of scoped before the first line of code, and a hemisphere of overlap gets treated as a nice-to-have instead of a delivery requirement. That is the environment custom gpts & rag systems has to be built into, not around.
- 01Blueprint the knowledge sources, access rules, and accuracy bar.
- 02Prototype retrieval quality on real questions before scaling.
- 03Forge ingestion pipelines, vector stores, and grounded generation with citations.
- 04Harden with evals, access control, and a refresh pipeline.
- 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
- SOC 2-ready architecture and audit logging from day one
- HIPAA-scoped data handling for health-adjacent products
- State privacy patterns (CCPA/CPRA-aware data flows)
- Stripe/ACH-native billing and payments
- Enterprise SSO/SAML for mid-market and enterprise buyers
What you can expect
Questions, answered straight
Yes. Aligned to ET / CT / PT working hours. From SaaS MVPs to enterprise modernization — senior engineering aligned to US time zones and shipped on your calendar.