Reasoning Infrastructure
Grounded intelligence — for AI that runs in production.
How Ryogen works
Answers grounded in your data — not the model's best guess.
Connect anything
Ingest docs, code, tickets and warehouses. Ryogen keeps every source indexed and in sync as it changes.
Cited by default
Every answer links to its exact source — a paragraph, a row, or a line of code.
Ask in plain language
Query across every system in plain language — “which contracts auto-renew in Q3?”
Built for billions of documents, with retrieval that answers in milliseconds.
See benchmarksSources indexed across customer workspaces.
Of answers ship with a verifiable citation.
Median retrieval latency at production scale.
Uptime across multi-region deployments.
One layer between your models and everything they need to know.
Retrieval
Hybrid semantic and structured search, with citations, across every connected source.
Agents
Give agents memory and tools — with guardrails, approvals and full audit trails.
Evals
Trace every query, score every answer, and catch regressions before they reach users.
Built to be trusted.
“Ryogen gave our agents a memory we could actually audit. That changed what we were willing to ship.”
Start nowConnect
Point Ryogen at your sources — docs, code, tickets, warehouses. Indexing begins in minutes.
Trusted by teams putting AI into production.
We'd been patching the same RAG pipeline for almost two years. Moved to Ryogen and retrieval just fell off my on-call list. Latency improved, citations got clean — I basically stopped watching it.
Ten years of internal docs in a dozen different formats. Four days to set up Ryogen and our agents started citing all of it correctly. Honestly expected it to be a lot harder.
Let's connect
“Evaluation was the easy part. Within a week Ryogen was grounding our production traffic.”