For every company

Whatever your company does, its memory belongs in your agents.

Every company wants to use its data with AI, and almost none can, because the data is messy and the access risk is real. Mithrandir organizes what your company knows into one memory inside the agents your people already use, and each person sees only what they can access.

Reads Slack, Microsoft Teams, Gmail, Outlook, Zoom, Gong, Google Drive, SharePoint, OneDrive, Confluence, Notion, Zendesk, Salesforce, HubSpot, Greenhouse, Google and Outlook Calendar, Jira, Linear, GitHub, Agent chats, SAP and ERP systems, your custom tools, and any integration you need.

The problem

Your company knows a lot. Almost none of it is usable.

It is spread across chat, email, drives, calls and a dozen tools, filed differently by every team. People cannot find it, AI agents cannot see it, and opening it all up to one assistant is a risk nobody wants to own.

Cost

Paying people to redo work that already exists

The answer exists somewhere, in a thread, a call or a document, and finding it takes longer than redoing the work. So the work gets done again.

Time

Time lost to AI answers with no company context

The AI tools your people use every day know nothing about your customers, your products or your history, so people fill in the gaps by hand.

Risk

One assistant away from showing the wrong person

Give an assistant everything and it shows the wrong thing to the wrong person. Give it nothing and it is useless.

How much better it gets

Nobody moves to a new tool. Claude, ChatGPT, Microsoft Copilot, Cursor, Gemini: each person asks where they already work, and each answer stops at what they can access.

The work

Before

After

Finding anything
Time
Hours lost to searching and asking around
Before
Search five tools, ask three colleagues, and still not be sure the answer is current. Everyone in that chain loses time.
After
Ask your own agent and get the current answer, organized, with its source, from everything you can access.
Using AI on company data
Cost
Paying for AI that cannot use your data
Before
People paste fragments into AI chats by hand, or are told not to use AI at all, and the tools the company pays for sit idle.
After
Every agent they already use, Claude, ChatGPT, Microsoft Copilot, Cursor, Gemini or Codex, answers from the company's memory.
Who sees what
Risk
Exposure nobody can predict
Before
Each tool has its own rules, some have none, and nobody can say what an AI assistant might reveal, or to whom.
After
Everyone sees only what they can access at work, and your company's hierarchy decides the rest.
Someone leaves
Revenue
Customer history that leaves with a person
Before
What they knew goes with them, customer relationships included, and the next person starts from an empty inbox.
After
What the company learned stays, and the next person finds everything they are allowed to see.
Every team, one memory
Cost
Work done twice across teams
Before
Each team keeps its own version of the truth, nobody sees the whole picture, and work gets done twice.
After
Every team you have, in one memory, each person seeing the part that is theirs.

Safe on every row

Only what you can already access

Everyone sees only what their work already lets them see.

Your hierarchy, the way it should be

Where a tool sets no rules, access follows your company's hierarchy.

Walls that hold

Ethical walls you set apply on top of everything, for every person and every agent.

0 leaks and 100% of answers sourced, measured across more than 30,000 entries.
How we measure · Security overview

See it on your own data

Connect a few of the tools your team already uses, then ask the questions people ask every week. Compare what two people with different access each get back.

Talk with founders