For large organizations
Your whole company in every agent, with every access rule intact.
Every team's tools in one memory, in your own cloud and every agent.
Reads Microsoft 365, Google Workspace, SAP and ERP systems, Salesforce and 12 more
The problem
Thousands of people, hundreds of tools, and nobody can find anything.
Time
Hours lost checking confident, wrong answers
Risk
One assistant away from a company-wide breach
Cost
Paying for a tool nobody opens
With Mithrandir
Before: Hours, weeks, months
With Mithrandir: Seconds
About 10 seconds
to find the story across thousands of documents.
Up to 396 to 792 hours a year saved per person
Up to $33K to $65K
more revenue a year, per person
Source: McKinsey; Coveo; Fortune · How it is estimated
How much better it gets
In the agent each person already uses, within what they can access.
Cost
Rolling out AI on company data
Before
Pick a tool, clean the data, write policies, then convince security.
After
Every agent people already use, from one memory. Nothing to roll out.
Risk
Access across a large organization
Before
Every tool has different rules, and many have none.
After
Each person sees their access. Your hierarchy decides the rest.
Revenue
Knowledge across teams
Before
Each team holds one part of the picture.
After
One memory across every team, within each person's access.
Cost
Your data, your cloud
Before
Every AI vendor wants a copy of your data.
After
Self-hosted in your cloud, with agents you already pay for.
Time
People who change roles or leave
Before
Successors start from an empty inbox.
After
What the company learned stays with the company.
Safe on every row.
Only what you can already access
Your hierarchy, the way it should be
Walls that hold, for every agent
0 leaks, 100% sourced, 30,000+ entries. How we measure · Security
A scenario
One Monday morning in the enterprise
The board meets on Thursday. At 8:00 the CEO wants to know why a product launch in one region slipped. The regional team has sent three different explanations, so the CEO asks Copilot.
“Why did the launch slip, and who decided?”
The CEO · in Copilot
The decision thread, the supply issue behind it, the revised plan, and the budget change finance approved, each with its source.
A regional marketing coordinator · in ChatGPT
The revised launch plan and the regional threads they are part of. Budget decisions and leadership threads stay out of reach, as they do at work.
The CEO has the story in seconds instead of a week of status requests. The board gets one sourced answer, and nobody saw more than their role allows.
$37B spent by enterprises on generative AI in 2025, 3.2× the year before. Source: Menlo Ventures, State of Generative AI in the Enterprise, December 2025
Questions
- Does it follow our access rules across business units?
- Yes. It mirrors each tool's own permissions, follows your hierarchy where a tool has none, and applies ethical walls on top.
- Where does it run?
- In your own cloud, with your own model key. Your data stays inside your infrastructure.
- Do people need a new tool?
- No. Mithrandir works inside the AI agents people already use: 20 agents over MCP, including Claude, ChatGPT and Copilot.
See it on your own data.
One business unit, a few sources. Compare answers across your hierarchy.
Remember.
Every company needs agents that know it. We are here for that.
Remember more. Spend less.Bring one workflow. See it on your own data in 30 minutes.
Last updated 21 October 2026 · Mert Uzun, co-founder