RAG & Knowledge Retrieval for SaaS & Technology

Orqent Labs builds RAG systems where accuracy is measured against a labelled question set, so you know the number rather than trusting a vibe.

In saas & technology, per-tenant economics and enterprise security review decide whether a feature can ship. That single fact reshapes how rag & knowledge retrieval has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is usage-based metering for AI, usually integrated against billing and metering. Integration comes before intelligence. A model that cannot reach your systems of record is a demo with good manners.

Multi-model by default, so a provider outage is a routing decision rather than an incident. We hand over with runbooks, tests and a team that knows how it works, not a dependency.