A RAG platform your infrastructure team can actually own.

The problem you have

You want internal Q and A or a knowledge assistant, but you do not want to lock your data and your roadmap to one cloud or one model vendor, and demos rarely survive contact with real production requirements.

What we deliver

• ›A hexagonal core that runs the identical container across local, Azure, AWS, and GCP with no code changes.
• ›End-to-end pipeline: PDF and OCR ingestion, semantic chunking, embeddings, per-tenant segregation.
• ›Agentic intent routing between your vector knowledge base and live web search.
• ›Source-cited answers under a sub-3-second time-to-first-token budget.
• ›Observability and cost control: tracing, prompt caching, batch priority processing.

How we work

Architecture decision records, explicit latency and cost budgets, contract-tested boundaries, and a clean handoff so your team owns it end to end.

Proof

OmniAssist, our shipped RAG platform, ran the same production container on local Ollama and Azure Container Apps with zero code changes. Read the OmniAssist case study.

What you get

A platform you run and extend yourself, no lock-in, answers you can trace to their source, and costs you can see and control.