Enterprise AI · Context management

Let your AI agents work with the right enterprise context

Instead of scattered wikis and stale documents, we gather all your knowledge in one place and deliver it — current — straight into the developer’s IDE and the AI agent.

One source
A searchable catalog
Agent-first
MCP-native
Getting started
A low-risk demo
Where you are today

AI agents are spreading fast — but without the right enterprise context they work inconsistently

Most teams get stuck at three points:

Knowledge is scattered

Spread across wikis, PDFs, Slack and personal notes; nobody can find the single source of truth.

The agent is fed the wrong thing

An agent working from old or incorrect documents produces inconsistent code and answers.

Standards don’t hold

Every team applies its own method; enterprise standards never reach everyone.


Our solution

From scattered to central, from copy-paste to automatic context

All knowledge, skills and standards in one searchable catalog — flowing into agents and developers.

01

Central context

Every document, skill and standard is collected in a single searchable catalog.

02

Agent-first

Connects directly to Cursor, VS Code, Windsurf and JetBrains over MCP.

03

Enterprise content pipeline

Turns PDF, DOCX and Markdown sources into a catalog automatically, and summarises them.

04

Offline & fast

A local cache and change tracking keep it fast even without an internet connection.


How it works

We start with a low-risk demo

Not with a big commitment, but with a small example built from your own documents. We grow it as you see the value.

01

Discovery & demo

In thirty minutes we understand your existing documents and your priority together.

02

Pilot catalog

We produce a searchable catalog from your sample sources.

03

Connect IDE & agent

Cursor, VS Code and AI agents connect directly.

04

Roll out

We keep improving the catalog with team notes and feedback.


Technology

Inside the tools your team already uses

Teams Hub is not a web interface for humans; it is a system that reaches into agents and IDEs over the MCP standard.

MCP

Local (STDIO) or central (HTTP) — the agent fetches context itself.

IDEs

Cursor, VS Code, Windsurf and JetBrains products.

Content pipeline

Markdown, PDF and DOCX sources become one consistent catalog.

CyberArk

Access to enterprise sources through managed credentials.

SpecificationDetail
IntegrationMCP — local STDIO or central HTTP server
Source formatsMarkdown, PDF, DOCX
SourcesLocal, remote and enterprise repositories (e.g. Bitbucket)
SearchFuzzy search with relevance ranking, agent-friendly JSON output
UpdatesHash-based change tracking — only what changed is reprocessed
CredentialsSource access through CyberArk credential management
OfflineSearch and fetch from the local cache without a connection

Free demo · 30 minutes

See Teams Hub on your own team.

In a thirty-minute demo we show live how a central, searchable context catalog comes out of your existing documents. No setup required.

Request a free demo
For teams

Which team are you reading for?

The same platform, told for the decision you are making.


Why us

There are many document tools; few put the right context inside the agent automatically

Agent-first & MCP-native

Not a web interface for humans; a system that reaches into agents and IDEs.

Enterprise content & sources

A multi-format build pipeline and enterprise source access through CyberArk.

Controlled & layered

Team and organisation layered notes; knowledge stays central and controlled.


Frequently asked questions

What you are wondering

We already have a wiki / Confluence — why this?

A wiki is a page store for people; Teams Hub is a system where the agent and the IDE get the right context automatically, at the moment of need. It sits on top of the wiki, not in place of it.

Our documents are scattered and in different formats.

Our build pipeline turns PDF, DOCX and Markdown into a catalog automatically; you do not need to write the content from scratch.

Developers don’t want to learn another tool.

Teams Hub works from inside the IDE and AI agent they already use; it teaches no new interface and adds no friction.

Is it suitable for security and regulation?

Knowledge stays central and controlled; access to enterprise sources runs through CyberArk credential management, and notes are managed in team and organisation layers.

Put your own documents in front of your agents.

30 minutes · no setup · with a live example from your own documents.