The reasoning layer for enterprise AI agents

AI agents don't know your company

Uvi is the only reasoning layer that sits underneath your agents and maps the relationships between your systems, entities and decisions, so they stop guessing at your context.

The ticket says done. The flag has been held at 25% since the rollback on the 3rd.
Interfaces and agents
Claude Code
Cursor
Your agents
Cowork
Uvi · the reasoning layer
UviON-PREM · 142 MS
01Semantic layer“blocked” → your definition, not Jira’sRESOLVED
02Knowledge graphENG-1184 closed → PR #402 merged → flag 25%LINKED
03Intentheld after a rollback nobody reopenedRECONSTRUCTED
Your systems
GitHub
Jira
Confluence
Slack

Trusted by engineering teams at leading global companies

The problem

More context won't fix your agents.The "why" behind it will.

The information exists inside your company, but it lives as scattered knowledge. So your agents never get what your terms actually mean, how things relate, or the reasoning behind them.

01 — Scattered knowledge

Nothing holds the whole picture

What your team knows is spread across tickets, PRs, threads and docs, and each system describes it in its own terms. Nothing reconciles them. Your agent reads one fragment and treats it as the answer.

ENG-1184 · PR #402 · #checkout-v2 · spec.mdNO LINKS
4 sourcesUNRECONCILED
02 — Intent

The context nobody wrote down

A decision gets made in a thread, implemented in a PR, and reversed weeks later in a comment. What happened is recorded. Why, and who it was for, is not. So every agent that touches it works from the record and misses the reason.

Decision: retry limit → 5RECORDED
Why · owner · still valid?NOT CAPTURED
03 — Cost

Cost compounds quietly

An agent that can't resolve context explores instead, and you pay for every turn. You pay again in the engineering time spent building and maintaining the wiring, and again in the hours spent verifying output that was wrong.

Tokens spent resolving context18,400/wk
Engineer time maintaining wiring6 HRS/WK
The solution

Uvi maps the reasoning behind your context.

Uvi is the infrastructure underneath your agents. It resolves what your terms mean, how your entities relate, and what the person asking actually needs, governed by the permissions you already have.

Reasoning layerresolved · 142 ms
01 — Semantic layer

Your language, resolved

Uvi resolves your internal vocabulary, the terms your teams use that exist in no dictionary and no schema. Your agents work from your definitions, not the nearest match.

"shipped" · 3 usages across 4 systemsRESOLVED
company definitionCANONICAL
02 — Knowledge graph

Entities, and what ties them

Uvi maps how your entities relate, who owns them, and what depends on what, reconstructed from the references between your systems. The ticket, the PR, the flag and the thread become one thing your agents can follow.

ENG-1184 · PR #402 · flag · #checkout-v2LINKED
owner · dependenciesMAPPED
03 — Intent

The "why" behind it

Uvi reconstructs the reasoning your systems never explicitly recorded. Your agents work from intent, the way your best people do.

Decision: retry limit → 5TRIGGER · OWNER
still validCONFIRMED
In production
Benchmarked
97/100
Head-to-head winsvs MCP-enabled GPT-4.1
Faster
Response latencyvs RAG baselines
Fewer
Tokens per interactionthan RAG retrieval

Tested by Global-e and more, with LLM as a judge

Uvi is the tool I trust to catch up on any project fast. It turns the decisions scattered across our stack into a graph, so teams use it to navigate them and Claude uses it to reason.
Global-e brought in Uvi to unify our fragmented knowledge landscape - eliminating wasted time, duplication, and reliance on experts - so teams and AI agents can find the right information efficiently, scale seamlessly, and boost employee satisfaction.
Governance

Infrastructure inside your boundary, under your controls.

Uvi runs inside your environment, and agent-aware permissions enforce your existing access controls at the graph level, so an agent only ever returns what the person behind it can already see.

On-prem or your VPC
Permissions enforced at retrieval

One layer, underneath every agent.

See what changes when your agents stop guessing.

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