About Ineexa - BTB Tec AG

Ineexa - BTB Tec AG is a Swiss software company focused on digitalizing procurement and calculation processes in the building services industry. Their goal is to replace manual, paper-based workflows with a smart, scalable software solution for everyone involved in the tendering process — installers, specialist dealers, and technical planners.

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Client Challenges‍

Managing construction tenders (called "DEVI") came with several practical problems:

1. Product data was inconsistently labeled and spread across unstructured PDF files

2. Product lists were disconnected from service provider information

3. Tenders required frequent recalculations and multiple rounds of approval

4. Regional formatting differences added further confusion and delays

Together, these issues made the tendering process slow, error-prone, and difficult to scale.

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Consulting and Implementation

Sly first helped Ineexa evaluate potential service providers across Germany and Switzerland. After this phase, Sly moved into a strategic consulting role, adapting to Ineexa's evolving needs throughout the project.

On the technical side, Sly — together with partners Acodis and T&M — built a scalable, modular architecture using Java and Spring Boot, with an API-first design to allow for easy integration and future upgrades. The infrastructure was hosted on the cloud using Amazon CDK for automated provisioning, and a CI/CD pipeline was set up to handle automated testing and deployment.

AI was central to the solution: machine learning and keyword recognition were used to extract data from PDFs automatically, reducing manual work and improving accuracy.

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Engagement

Sly developed multiple proof-of-concept (PoC) projects, each tailored to specific product requirements — whether data-heavy or function-specific. Using an agile, iterative approach, the team continuously refined each PoC based on feedback from Ineexa's developers and real-world testing with selected customers. This process helped validate the AI solution before broader rollout.

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Project Timeline

The project is still ongoing.

A major milestone was reached with the accurate automated assignment of DEVI data, confirming that the core solution works. Work continues under Cornel's leadership, with a focus on refining data labeling, improving algorithms, and exploring further machine learning and infrastructure enhancements to keep the system accurate and future-proof.

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Conclusion

The Ineexa project showed that digital transformation requires adaptability, technical precision, and close collaboration. By combining agile development with AI-driven automation, the team turned a complex, manual procurement process into a reliable, scalable system. Key lessons: flexibility in the consulting role kept the project on track, AI automation delivered real efficiency gains, and strong partnerships made the technical foundation possible.