MVP of a Smart Data Mapping Module for Quality and Defect Data Analysis in Discrete Manufacturing
| Reference number | |
| Coordinator | Braviz AB |
| Funding from Vinnova | SEK 199 500 |
| Project duration | December 2024 - May 2025 |
| Status | Completed |
| Venture | Accelerate Startup Partnership - FFI |
| End-of-project report | 2024-04028eng.pdf (pdf, 163 kB) |
Important results from the project
The project successfully developed and validated a methodology and MVP module for smart data mapping of sensor and quality control checkpoints and metadata enrichment in discrete manufacturing concerning quality and defect data analysis. The approach reduces complex data and domain mapping and discovery time from weeks to minutes, enabling AI-powered quality analysis. This also establishes a foundation for the Braviz Platform´s continued development and commercialization for industries
Expected long term effects
In the long term the results enable faster and more reliable data analysis for quality and defect analysis in discrete manufacturing. The data mapping module becomes a foundation for data-driven domain and entity discovery, AI-powered data analysis and offer insights to move towards more resource-efficient production. For Braviz it is a core component in our platform. It also contributes to Industry 4.0 adoption by solving fragmented operational data challenges.
Approach and implementation
The project ran from December 2024 to May 2025 with Braviz AB as coordinator. We first mapped needs and current practices together with partners, then designed a framework and data model and finally implemented and tested an MVP module. The work followed the planned timeline with minor adjustments and close collaboration with engineers and digitalisation teams.