- Customer makes his customer database available "on premise" and prepares it
- An encrypted connection between customer and algorithm in the cloud is established.
- Transfer to a SaaS model, with ongoing updates from Celus and database expansion from the customer side.
Technical facts:
The solution is market-ready and can already be used by a large number of customers. AI, machine learning and reinforcement learning are used.
APIs/Integrations:
The results are compatible with various CAD tools (Autodesk Eagle, Mentor Graphics PADS Professional, Zuken Cadstar and soon Altium Designer and other tools). There the user can further edit the generation results if required.
Initial cost estimates can also be made by connecting the APIs of online parts markets.
Where is the data located?
The customer has the choice between a database in a cloud controlled by the provider in Germany or an "on-premise" database.
The algorithm and AI is located in the cloud to ensure continuous updates. In the "on-premise" case, the data is transferred encrypted to the cloud and not stored there and the generated files are sent encrypted back to the customer.