Skip to main content

The average frequency with which companies move is 3 to 5 years. Take advantage of this strategic event! We feed your sales teams qualified leads by calculating the probability of your prospects moving.


    AI for sales targeting

    You define your prospecting perimeter to analyze and follow your target prospects.

    You define your prospecting perimeter: 
    • Geographical,
    • Activity sector,
    • Size,
    • Seniority etc.
  • Anticipate and target

    Our solution provides all the relevant information on your targeted companies in order to optimize your commercial approach

    Screen CMP 2
    • Probability of relocation
    • Financial and economic performance
    • Sector of activity
    • Workforce
    • Managers
    • Seniority of the establishment
    • History of SIRETs
    • Contact details of prospects etc.

What our customers appreciate:

  • Logo 1

    Pre-qualified leads

    Pre-qualified leads with 2x the chance of moving in the short term

  • Logo 2

    Improved results

    A 95%* increase in sales

    ( *Average figure observed with our customers )

  • Logo 3

    Improved efficiency

    Division of time dedicated to prospecting by 5*.

    ( *Average figure observed with our customers )

Request a demo

Request a demo

*Required fields

This site is protected by reCAPTCHA and by the Google system.

Privacy Policy and Terms of Service apply.

Our publications

Ai Abstract Art

Decentralized Physical Infrastructure Network: a…

DePINs, short for Decentralized Physical Infrastructure Networks, refer to physical infrastructure networks managed on a decentralized basis.
Unlike traditional systems based on centralized management by large groups, DePINs involve operation by individuals or small groups.


Read more
Abstract AI Representation Purple

SiaGPT for ESG

In order to promote sustainability and responsible development, respecting ESG criterias to regulate a company's impact on the environment, society and governance has become essential.


Read more
OpenStreetMap from Heka

OpenStreetMap: Using open data and guaranteeing …

In this article, we explore the use of OpenStreetMap for extracting geospatial data and implementing an approach to enhance the overall data quality. We delve into the key steps of data extraction including selecting the area of interest, data collection, cleaning, and preparing data for future use.


Read more