Custom GPTs & RAG Systems for SaaS & Tech
Retrieval-augmented systems and custom GPTs grounded in your own documents and data — accurate, cited, and private. Engineered for saas & tech teams.
SaaS & Tech 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. Product engineering, API platforms, and dev tooling — extra senior capacity to ship your roadmap faster.
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 saas & tech teams specifically, your roadmap is longer than your team. Hiring is slow, and contractors disappear at the hard parts. Velocity stalls right when the market is moving.
- 01Blueprint how saas & tech 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 saas & tech 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 saas & tech teams to extend.
- 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
- Product feature engineering
- API platforms & integrations
- Multi-tenant SaaS architecture
- AI features & copilots
- Cloud, DevOps & observability
- Developer tooling & internal platforms
What you can expect
Questions, answered straight
Product engineering, API platforms, and dev tooling — extra senior capacity to ship your roadmap faster. We bring custom gpts & rag systems depth to those exact systems rather than retrofitting a template.