aqmen

The backbone of strategic decisions.

Where strategy and deal teams build the numbers behind a decision. AI does the work. Every figure keeps its receipts.

your assistant · connected to aqmen

Ask for a market, a model, a benchmark.

Ask your assistant…

Behind the scenesDATAMODELSRECOMMENDATIONSnothing yet

Built by a team from

McKinsey & CompanyBain & CompanyMITRice University
“This transforms day 1 answer into morning of day 1 answer.”

Senior Consultant · PE-focused boutique consulting firm

“These are the same frameworks we use. Since I have a small team, this will be super useful.”

Head of M&A Projects · Industrial conglomerate

“We train people on how to do models, that should change.”

Senior Director of AI/Data · PE-focused boutique consulting firm

01What a decision is made of

Every decision is made of three things.

Today each one lives in a different file, owned by a different person, and nothing holds them together.

Data

Reports, calls and exports, filed. Where each number came from is already lost.

Models

One workbook, one analyst. It breaks the day the data moves.

Recommendations

A deck, sent and frozen. Its numbers cut off from the model that made them.

aqmen holds the three together.

  • Data that cites its sources.
  • Models built on that data.
  • Recommendations built on those models.

One connected structure, built by AI, that anyone can walk end to end.

02How it works

Three steps. One afternoon.

01

Connect the assistant you already use.

Over MCP, with your account. No API keys, no agent to buy.

02

Ask for the market, the model, the benchmark.

It loads the data with its sources, builds the model, draws the charts, records what it found.

03

Review it. Share it. Keep asking.

Everything it made is real and yours to check. Hand the workspace to the client and the questions continue.

03What that changes

What you get when the parts connect.

01

Defend any number.

Ask where a figure came from and get the document, not a shrug. In the room, and a year later.

02

Change one thing. See what moves.

New data lands and every model, chart and conclusion that depends on it is flagged. Nothing goes quietly wrong.

03

Never start from zero.

The next question, the next quarter and the next deal begin from everything already there.

04

Work like the best firms.

A market, a landscape, a P&L: the practice encoded, so it is built that way every time, by anyone.

05

Bring your own AI.

Any assistant over MCP. Excel and decks as tools, not a cage. No agent to buy from us.

06

Hand the client the workspace.

They read the pages, open the models and ask the next question. Not a PDF.

04The deliverable

A workspace, not a file.

The deck still goes out. But your client can also join as a guest: read the pages, open the models, check every source, and ask the next question themselves.

  • The answer stays connected to the analysis behind it
  • Every figure opens onto its source
  • The conversation continues after the deck is sent

Shared with the client deal team

How big is the market, and where is it?

$7.5B1
HR-software market, 2024
55%2
in firms of 250+ people
+5.7%3
a year since 2021

By region, 2024 · USD billions

DACH2.9
Western2.1
Southern1.8
CEE0.4
Nordics0.3
  1. 1Eurostat business statistics and ICT survey; vendor list prices and purchase benchmarks.
  2. 2Bottom-up by size band. Adoption is a proxy: read the split, not the level.
  3. 3Prices held at today's list, so growth is all volume.
MRClient · Partner

What does that look like for mid-sized firms in Spain?

$0.24B in 2024: 23,000 firms of 50–249 people, 1.8 million seats at $134 a seat.

From the same model · Eurostat · Vendr

06Word of mouth

From people who do this work

Consultants and deal teams. Roles only; the firms stay confidential.

“Honestly, I wouldn't even care if assumptions are wrong, having a functional model so fast is already a life-changer.”

Manager, PE Practice

Management consulting firm

“I am blown away by your product, love the granularity of the assumptions on price and quantity.”

Director

Private equity firm

“I would always try to share hard-coded models as a hedge to Excel errors.”

Former Investment Banking VP

Global investment bank

07FAQ

Questions, answered

What teams ask before a demo.

What is aqmen?

The platform strategic decisions are built on. Data with its sources, models you can open in Excel, charts, pages and conclusions, connected, with an AI assistant doing the work. Every number traces back to where it came from.

How is it different from asking an AI chat?

You still ask it. The difference is where the work lands: not in a chat that forgets, but in a workspace where the data, the models and the conclusions persist, cite their sources, and can be reviewed.

Are the numbers reliable?

Every table cites its documents, every derived table records its method, and the spreadsheet engine does the arithmetic. Any figure can be walked back to its source.

Which AI assistants work with it?

Any assistant or agent harness that speaks MCP, connected with your aqmen account. No API keys.

Is my work confidential?

Yes. Workspaces are private to your organization, and your data, documents and models are never shared with other customers or used to train models.

How do we get started?

Book a demo. We walk you through it on a live question, and invitations for your team follow the same day.

Book a demo

Decisions deserve a backbone.

See it on a live question. Yours, if you like. Invitations follow the same day.