Sales Automation & CRM in Leuven
Why here
A standard pipeline does no justice to an eighteen-month Leuven deal. As long as an evaluation is just a stage, it sits in the same place for months while your reporting announces the same amount as likely, month after month. So we model the evaluation as its own object with its own milestones: requested, material delivered, test performed, result assessed, expected budget year. Test results and technical documentation hang off that same object, so engineering and sales look at one record instead of two versions of the truth. On top of that we set a weighting suited to a cycle measured in quarters: a deal only rises in probability when a milestone is cleared, not when another month has passed. What we build runs in your environment and your company owns it, code included.
No list of offices — just honesty: we work remote-first and come on-site where it truly matters, by plane if that is what it takes. Travel costs are charged on.
Our approach
How an evaluation runs in practice today goes through first, along with where information gets stuck between engineering and sales. Then we fix the data model with the evaluation as its own object and with the milestones that genuinely exist in your case. Once you approve, a first clickable version is running. In the weeks after we connect mailbox, calendar and wherever test results live today, and set up reporting on milestones rather than on elapsed time.
Frequently asked questions
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Our engineers keep test results in their own system. Do those have to move?
Preferably not. A technical system is better for that work than a CRM, and a migration costs you the cooperation of the people who use it. What we do is build a link: the result and the status appear against the right evaluation, with a reference to the source file. Sales then sees what was measured without disturbing engineering, and nobody fills in the same thing twice.
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How do you forecast revenue with an eighteen-month cycle?
Not on instinct and not on a closing date, but on milestones. Every stage in the evaluation track gets a historical duration and a success rate drawn from your own files, and the weighting follows from that. The effect is that a deal stuck on the same milestone for a year drops by itself instead of reporting the same amount every month. That makes the forecast lower and usable rather than high and fictional.
What you invest depends on what we build. The homepage says where it starts.
Read on
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