SI Platform - 2026 Pricing, Features, Reviews & Alternatives

SI Platform is an enterprise software solution that integrates artificial intelligence with physics-based simulation workflows for engineering organizations. The platform enables human-machine teams to accelerate product development cycles by automating complex multi-physics simulations and creating lightweight surrogate models from existing computational analysis and engineering data. Pasteur Labs developed the system to support aerospace, automotive, space systems and nuclear energy industries. It targets engineering teams that require rapid design iteration, cross-functional collaboration and system-of-systems integration capabilities while maintaining rigorous verification and validation standards.

The platform provides core functional capabilities centered on physics-informed machine learning and workflow automation. It includes a catalogue of pre-trained scientific machine learning models and physics-informed architectures engineered for computer aided engineering applications. It automatically generates machine learning ready datasets from historical simulation outputs by extracting, formatting and structuring data from solver results and metadata files. The resulting lightweight machine learning models train on local workstations instead of requiring high performance computing infrastructure. Onboarding effort decreases from tens of hours on high performance computing to minutes on standard hardware.

The architecture is built on end-to-end automatic differentiation and git-native version control to establish single source-of-truth artifacts. This structure enables teams to coordinate designs, scenarios and constraints in near real time throughout the development process. Teams create and share Multiphysics Modules that encapsulate surrogate models in differentiable containers with continuous integration, testing and deployment while providing executable simulators instead of static data files. The modular design supports plug and play integration with heterogeneous computer aided engineering and model based systems engineering toolchains including legacy Fortran solvers and commercial products with disparate interfaces.

The Tesseracts orchestration framework coordinates models and full simulators across distributed environments while preserving inspectability and traceability for testing and compliance workflows. Digital physical thread functionality manages the complete lifecycle of simulation intelligence activities across organizational teams at model based configuration management level three. All workflows, experiments, datasets and deployed solutions form components of an institutional knowledge base with full version lineage to support continuous refinement as requirements evolve. Engineers retain ownership and control over trained surrogate models with export capabilities for integration into internal tools, cross-team sharing, custom pipeline integration or production deployment without lock-in constraints.