An engine manufacturer depended on manual modeling and testing to validate every new part from suppliers. This labor-intensive process involved interpreting technical drawings, creating 3D representations, and launching physical compliance checks.
Each inspection cycle delayed production by up to three weeks per component. The slow turnaround created bottlenecks in product development, tied up engineering resources, and generated unnecessary costs at scale.
We deployed an AI-based solution that reads supplier-submitted technical drawings and automatically generates 3D models. The system then runs digital compliance simulations using advanced algorithms to verify design integrity and detect issues.
This automation was integrated directly into the client’s existing quality control pipeline, allowing for seamless inspection without overhauling their infrastructure.
By digitizing and automating the inspection process, we helped the manufacturer accelerate production cycles, reduce overhead, and improve part quality at scale.
Want to automate quality checks and reduce inspection delays in your operations?
Contact us today to learn how we can help.
We were skeptical at first — AI felt like a buzzword. But seeing the case studies on QanaFlow’s site changed that. Their work with companies facing challenges just like ours gave us the confidence to move forward. The results they delivered for others weren’t just impressive — they felt achievable. That transparency made all the difference.
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