The Reasoning Layer · Built on a Decision Graph

The Reasoning Layer
for enterprise
AI agents

Turn the decisions, ownership, and tribal knowledge buried across your stack into a reasoning layer every agent can act on.

naboo console
via MCP
Ask Naboo

What's blocking checkout v2 from shipping?

Decision graph · 142 ms
Decisions · 4 in the chain2 open
DecisionOwnerStatus
Pricing approvalFinanceapproved 6d
Pen testSecurityin review
Infra capacityPlatformallocated
Customer commsCXdraft
query { release(target:"checkout-v2") { blockers { name owner status } } }

Search returns links. The reasoning layer returns the chain.

Trusted by engineering teams at leading global companies, including

"Naboo 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."
Tal Mor
Tal Mor
VP R&D at Melio
The topic graph

Find anything, connected

The answer your engineers need is already in your tools — scattered across repos, PRs, and Slack threads that nobody ever linked together. Naboo links them.

“Help me fix this bug.”
TypeError: cannot read
  'id' of undefined
  at resolveUser (auth/session.ts:42)
  at handler (api/checkout.ts:118)

3 repositories

that touch the failing path

The pull requests

that changed that exact code

The Slack threads

that referenced those PRs

The exact picture — not a pile of keyword matches.

Why a naive RAG can't do this

Keyword search returns documents. Naboo returns the connected truth — because of four things it does that an off-the-shelf index never will.

Indexes everything, at scale

Pulls your entire dataset — working around the API rate limits and bulk-export caps that make most tools give up.

Links the dots

Connects tickets, PRs, code, and Slack by the references between them — explicit mentions and implicit ones alike.

Resolves identity

Maps one person across every tool, so it knows who owns what and who works with whom — shrinking the search space before it even looks.

Permission-aware at every node

Document-level permissions on each node, so the whole org can query the index fast — and never sees what it shouldn't.

The decision graph

Reason about how your company actually decides

Some questions RAG can't touch — not because the data is missing, but because the answer lives in a definition that exists only in your team's heads.

“What shipped behind feature flags last week?”

Plain RAG

Matches keywords like “feature flag”, “deploy”, filters by date — and returns a pile of documents that probably don't contain the answer.

It can't join the dots a human never wrote down.

Naboo

Resolves the question through your org's actual definition of a feature — across tickets, PRs, flags, and services — and returns the exact list.

The answer, not a search result.

Every company speaks a private language

Ask a tech lead “what is a feature?” and the answer is a chain of implicit links that exists in no single system — invisible to every off-the-shelf AI agent.

definition: “a feature”
Task

a ticket that isn't a bugfix

Pull Request

branch name carries the ticket ID

Feature Flag

key hard-coded in the PR

Internal Flag Service

holds the live on/off state

none of these links is written down — they live in branch-naming habits, code, and an internal service

We turn that language into a graph any agent can query

  • A Forward Deployed Agent — a specialist in ETL and data science — sits with your team and defines that hidden language across every connection.

  • The result is a living decision graph — decisions, owners, triggers, and blockers as first-class nodes, built on the ETL plumbing Naboo already runs across your stack.

  • Any agent queries it directly in GraphQL — or through an MCP server that turns plain intent into a structured query.

agent → naboo
query {
  features(shippedWithin: "7d", flagged: true) {
    name
    owningTeam
    flag { key state }
    pullRequests { url author }
  }
}

How Naboo works

The reasoning layer for your R&D environment

Inputs

Code & Tickets

GitHub, GitLab, Jira, Linear

Knowledge Base

Confluence, Notion, Slack

Runtime Data

Datadog, Splunk, Postgres

Naboo Engine

Context Processing

Outputs

IDE Copilot

VS Code, JetBrains

Autonomous Agents

LangChain, AutoGen

Code Reviews

Automated PR Feedback

CI/CD Pipeline

GitHub Actions, Jenkins

R&D Insights

Metrics & Reports

1

Connect to your R&D stack

Connect code repositories, tickets, PRs, documents, communication tools, logs, and metadata.

2

Continuously build understanding

Naboo continuously scans code and surrounding context to build a living understanding of how systems actually work. This understanding improves over time.

3

Calculate intent in real workflows

At any moment, Naboo understands what the user or agent is trying to achieve based on task, system state, ownership, and history.

4

Enable precise execution

Naboo feeds the right context to any LLM or agentic framework so execution is precise, deterministic, and reliable.

Decisions are the foundation of agent reasoning in R&D

Real AI systems need to reason about choices, not retrieve documents

Agents that do not hallucinate

Precision-grounded responses backed by your actual enterprise data and intent understanding

One reasoning layer instead of tool chaos

A single graph of decisions across every system you run — instead of dozens of brittle integrations to wire up by hand

From AI demos to real production workflows

Enterprise-grade security, compliance, and scalability from day one

97%
More accurate
than RAG
10x
Faster responses
90%
Fewer tokens
used
Tested by Global-E and more with LLM as a judge

From ticket to production ready execution

Watch how Naboo turns scattered information into actionable context

Deploy Naboo in your environment

Control over data, compliance, and security

Run everything on-premises

Offline or VPC deployment. Zero data leaves your environment.

Document level permissions

Respects existing RBAC; developers only see what they are allowed to.

Use your own LLM & Frameworks

Vendor agnostic, no lock-in. Works with any provider.

Centralized search engines

Copy all of your data into their cloud, build one big index, then filter the results by permission after the fact.

Naboo

Never centralizes your data. Enforces your existing RBAC at retrieval time — so nothing leaves your environment and no one sees what they shouldn't.

The reasoning layer for enterprise AI agents

Stop guessing. Start reasoning. Naboo gives every agent in your company the chain of decisions it needs to act with precision.