Operational Software
Build software around the way your team actually works, from complex domain logic to customer-facing platforms.
Thoughtful software for complex operations
We go deep into your workflows, constraints, and domain knowledge before we design the system. Then we use the right mix of engineering, automation, and AI to build something reliable, maintainable, and ready to scale.
What we build
We do not force your operation into a fashionable template. We find the right level of automation and build around the people, systems, and constraints already in the room.
Build software around the way your team actually works, from complex domain logic to customer-facing platforms.
Study the full process, remove unnecessary steps, and automate the work that should not stay manual.
Connect CRMs, ERPs, APIs, legacy tools, and internal systems without creating fragile dependencies.
Use AI where it improves speed, access to knowledge, or decision support, with clear value and human oversight.
Where we help
The best opportunities for automation are rarely obvious from the outside. We work with the people closest to the process, uncover the logic and constraints, and improve the system without losing what already works.
Selected work
Before writing the platform, we unpacked years of engineering logic, regulatory requirements, and real-world working habits.
We studied a specialist, spreadsheet-driven engineering process, translated its rules and calculations into maintainable software, and built a modern platform for energy auditors.

Example use cases
Translate expert rules, calculations, and documentation into traceable software.
Turn multi-step internal processes into dependable, maintainable systems.
Connect customer systems, internal tools, and external services.
Build tools for technical datasets, calculations, reporting, and review.
Add search, extraction, assistance, and automation where they create measurable value.
Extend core products with customer-specific workflows and implementation tooling.
How we work
Klamiq works best on problems that require more than assembling familiar components. We take time to understand the people, rules, data, exceptions, and legacy constraints behind the workflow.
We use modern engineering practices and the latest tools, including AI, when they improve the result. The technology serves the problem, not the other way around.
The outcome is software that is considered, scalable, maintainable, efficient, and trusted by the people who depend on it.
Start with the problem