Tailor-made software — process digitization that pays off.

Your business has specific processes that off-the-shelf software cannot cover — or only partially, with cumbersome workarounds.
You need to connect multiple systems (accounting, CRM, inventory, e-shop) into one unified platform for efficient data management.
You want to gain a competitive edge with a unique tool your competitors simply do not have.
Your business is growing fast and standard solutions cannot scale — or become prohibitively expensive as you grow.
You want full control over your data without relying on third parties.
(1-2 weeks)
(2-3 weeks)
(6-12 weeks)
(1-2 weeks)
(1 week)
(ongoing)
We treat security as a priority, not an optional feature:
Custom software often needs to communicate with your existing systems:
Investment in custom software typically pays back within 12-24 months thanks to:
Automation of tasks previously done manually by your team (typically 20-40 hours per week).
Elimination of human error in manual data processing (90%+ reduction in errors).
Faster processes through optimized workflows (40-60% time savings).
Real-time data and analytics for informed decisions.
Ability to grow without a proportional increase in staffing costs.
The cost of custom software depends on the complexity and scope of the project:
EUR 16,000 - 32,000
EUR 32,000 - 80,000
EUR 80,000+
After launch, we offer various levels of support:
from EUR 200/month
from EUR 600/month
from EUR 1,200/month
A: Typically 3-6 months depending on complexity. Smaller projects can be completed in 1-2 months.
A: You will own the source code. We transfer all rights to you.
A: Yes, because you own the source code. We provide you with complete documentation.
A: We use an agile methodology that allows flexibility. Changes are possible but may affect the timeline and budget.
A: Yes, user and admin training is included in the delivery.
A: Bug fixing is free for the first 3 months after launch as part of our warranty.
Contact us for a no-obligation consultation. We will review your processes, identify opportunities for automation, and propose a solution — including an investment estimate and ROI.