For buyers and investors

AI interviews
for M&A due diligence

AI and human-led interviews.
We talk to the owner and key people before and after the deal.

  • See who the business really depends on.
  • Find what the data room doesn’t show.
  • Keep the knowledge when the seller leaves.
Looking for our first partners
/ company memory
We don’t mention your name or company without written permission AI providers do not train their models on your data
Three moments in a deal

Where are you right now?

01

Before you sign

We talk to the owner and a few managers. Confidentially, under an NDA.

You know who the business depends on before you sign.

02

The first 100 days

We talk to the whole key team while the seller is still there.

The seller’s knowledge is written down before they leave.

03

Before a sale

The seller shows the buyer that the business doesn’t depend only on them.

You show it with a document, not just words.

How it works

Three steps. The same in every situation.

01

Interview

People tell us how the work really runs.

02

Check

We compare the answers with each other and with documents.

03

Report

You see where the risk is and what to do about it.

How we work in detail
For the deal

What you can use in the deal.

01

Who to keep

The key people and what they know.

02

How long the seller stays

What has to be handed over before the seller leaves.

03

What goes into the agreement

Handover and transition terms, based on what we found.

We don’t tell you whether to buy. We show the people risk. You decide.

Partners

We’re looking for the first companies to build the product with.

Let’s talk for 30 minutes
Team

Who we are

We have tested the method in real interviews. We have been developing it since spring 2026.

Ragmar Saksing

Ragmar Saksing

CEO

20+ years in technology. Serial entrepreneur with CTO experience.

Indrek Põldvee

Indrek Põldvee

B2B sales and growth

B2B sales and lead generation on LinkedIn. Works on M&A deals and investments.

Anton Keks

Anton Keks

Tech lead

Co-founder of a software company. Author of Angry IP Scanner. University lecturer.

Photo: Thomas Bresson · CC BY 2.0
Next step

How does your company really work?

Leave your details and Ragmar will call you back. We’ll tell you straight whether we can help.

We use your details only to contact you. You can also write to [email protected]