Artificial Intelligence
for engineering efficiency

Both, Dessia is available as both a cloud-based solution and an on-premise deployment. the platform offers flexibility in deployment based on organizational needs. The cloud-based version provides seamless scalability, automatic updates, and lower IT infrastructure management. For organizations with strict security, compliance, or operational constraints, an on-premise deployment is available. This option allows full control over data storage, security policies, and integration with internal IT systems while maintaining the platform’s core functionalities.

Yes, the platform is designed to connect through API with third-party software, including PLM solutions and supports industry-standard 3D CAD formats. This ensures seamless interoperability between engineering tools, allowing for structured data exchange and automated workflows. By maintaining compatibility with these formats, the platform facilitates digital continuity, reducing manual data handling, preventing errors, and ensuring that design iterations remain synchronized across all systems.

Dessia leverages both symbolic and statistical AI, depending on the nature of the problem and the data available. Our approach allows us to use symbolic AI for explainability and deterministic modeling, integrating structured expert rules to ensure transparency, consistency, and compliance with engineering constraints. At the same time, we can incorporate statistical AI when dealing with complex patterns and data-driven insights. By combining both methods when needed, we enable a more flexible, efficient, and traceable exploration of design solutions.

No, the platform is meant to be used by designers and engineers to use without AI or data science expertise. They can get started easily, integrating it into their processes with full flexibility. Teams can work independently or with the methods and tools department, without added complexity.