For finance firms and finance teams

Everything your firm knows, safe inside the agents your people already use.

Deals, clients and research, with every wall intact.

Reads Microsoft 365, Gmail, Google Drive, Salesforce and 7 more

The problem

Years of deals and analysis, and every new question starts from a blank page.

Cost

Paying analysts to redo research the firm owns

Risk

One shared folder away from a broken wall

Revenue

Client revenue that leaves with a banker

By the numbers

The problem, in numbers

$6.29M

average breach cost in financial services

Source: IBM

43%

of breaches involve shadow AI

Source: IBM

92%

of firms with an AI incident lacked AI access controls

Source: IBM

~70%

of financial firms put data security first for GenAI

Source: StoneShot

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 $18K to $36K

more revenue a year, per person

Source: McKinsey; Coveo; Damodaran · How it is estimated

Make your AI better

8.3×
lower AI cost
2.2×
faster answers
0
leaks in 30,000+ entries

How we measure

How much better it gets

In the agent each person already uses, within what they can access.

  1. Time

    Starting a new deal

    Before

    Drive searches and partner emails while the deal clock runs.

    After

    The firm's past work in this sector or with this counterparty, sourced.

  2. Risk

    Information barriers

    Before

    A policy and a list of names that AI tools ignore.

    After

    Walls hold for every person and every agent they use.

  3. Revenue

    Client history

    Before

    The relationship pieced together from the CRM and old threads.

    After

    Meetings, commitments and correspondence, in order.

  4. Time

    Month end and the numbers behind them

    Before

    Days asking around to learn why a number moved.

    After

    The ERP records, threads and people behind the change.

  5. Cost

    A new analyst

    Before

    Weeks of shadowing before the first real contribution.

    After

    The firm's history on their work, from day one.

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 finance

A new deal team kicks off at 9:00. Before the meeting, the managing director wants to know what the firm already knows about the target company.

“What have we worked on with this company before, and what did we conclude?”

The managing director · in Claude

Two past mandates, the models behind them, and the committee memo that turned one down with its reason, each with its source.

An analyst in research · in ChatGPT

Published research and public filings on the company. The deal files sit behind an information barrier, so for the analyst they do not exist.

The deal team starts from the firm's own history instead of a blank page, and the barrier between research and deals holds in every agent.

46% of CISOs are confident they can centrally control what AI agents access. Source: Okta, Global CISO Insights 2026

Questions

Do information barriers hold between deals and research?
Yes. Walls you set apply in every agent. For anyone outside, the walled deal files behave as if they do not exist.
Can a new analyst get up to speed on a client?
The client's history comes back in order, with sources, limited to what the analyst is cleared to see.
Where does the data live?
In your own cloud, with your own model key. Mithrandir never hosts your data.

See it on your own data.

One team, email, drives and CRM. Set a wall and watch it hold.

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