For every company
Whatever your company does, its memory belongs in your agents.
Chat, email, drives and calls. One memory, safe.
Reads Slack, Microsoft Teams, Gmail, Outlook and 17 more
The problem
Your company knows a lot. Almost none of it is usable.
Cost
Paying people to redo work that already exists
Time
Time lost to AI answers with no company context
Risk
One assistant away from showing the wrong person
By the numbers
The problem, in numbers
- 1.8 to 3.6 hours
a day lost searching for information
Source: McKinsey; Coveo
- ~25%
of the workweek spent searching
Source: Atlassian
- 44%
say fragmented data blocks automation
Source: SAPinsider
- 75%
of knowledge workers use AI at work
Source: Microsoft
With Mithrandir
Before: Hours, weeks, months
With Mithrandir: Seconds
Up to 396 to 792 hours a year saved per person
Up to $5K to $11K
more revenue a year, per person
Source: McKinsey; Coveo; Damodaran · How it is estimated
How much better it gets
In the agent each person already uses, within what they can access.
Time
Finding anything
Before
Five tools, three colleagues, and still unsure.
After
The current answer, with its source, in your own agent.
Cost
Using AI on company data
Before
Fragments pasted by hand, or no AI at all.
After
Claude, ChatGPT, Copilot, Cursor, Gemini or Codex, on company memory.
Risk
Who sees what
Before
Every tool has its own rules, and some have none.
After
Everyone sees only what they can access at work.
Revenue
Someone leaves
Before
Their knowledge leaves with them.
After
What the company learned stays.
Cost
Every team, one memory
Before
Each team keeps its own truth, and work gets done twice.
After
Every team in one memory, each person seeing their part.
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 any company
At 8:20 a long-standing customer, one of the company's largest, asks to renegotiate. Before the call, the CRO asks Claude what the company agreed last time.
“What did we agree with this customer at the last renewal, and why?”
The CRO · in Claude
The discount, the call where it was agreed, the reason in the deal notes, and the support history behind it, each with its source.
A new account executive · in ChatGPT
The current contract and the support tickets on the account. The discount approval thread stays with leadership.
The CRO walks into the call with the full history. The new rep is ready for the follow-up, and the pricing decision stays private. Nobody dug through old email.
1 in 5 organizations was breached through shadow AI. Source: IBM, Cost of a Data Breach Report 2025
Questions
- Does it work for a company our size?
- Yes. Connect a few tools and the first useful answers come back the same week.
- Who sees what?
- Each person sees only what they can already access at work. Where a tool has no rules, your company's hierarchy decides.
- Do we have to change the agents we use?
- No. Claude, ChatGPT, Copilot, Cursor and 16 more work with it over MCP.
See it on your own data.
Connect a few tools. Compare what two people with different access get.
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