🧠 Food for thought

Implications, context, and why it matters.

Proven tech adoption drives early customer traction

• Navier uses Neptune (Neptune.ai, an experiment-tracking platform for machine learning) while refining physics foundation models (large AI models trained on simulation and real-world physics data) with tens of millions of parameters 1.
• They partner with Rescale (a cloud service that orchestrates High-Performance Computing (HPC) across clouds) to run AI models, with a joint early access program for engineering customers to try AI-accelerated Computational Fluid Dynamics (CFD) 2.
• Automotive holds over 28% of global Product Lifecycle Management (PLM) deployments 3, while aerospace is a core market for CFD and simulation 2.
• A Neptune case study sets a goal of simulation-quality predictions in seconds rather than days 1, matching the 1,000x faster claim 2, and hardware engineering teams deploy models to production 1.

Third-party integrators can bridge CAD and PLM platforms for AI agents

• The Computer-Aided Design (CAD) and Product Lifecycle Management (PLM) market reached $31.1 billion in 2024 with the top 10 holding 84.8% share 4. This favors software adapters that link AI agents to design data systems targeting Dassault Systèmes, Autodesk, and Siemens.
• Over 72% of large manufacturers use PLM software 3, while 36% face legacy integration hurdles 3, so connectors that link AI agents to CAD and PLM workflows deliver quick wins.
• Cloud-based PLM rose 36%, and 38% of implementations run in the cloud 3. Application Programming Interface (API)-first integration suits specialist plugin builders without custom on-premise work.
• 3D CAD makes up 61% of installations 5, and the CAD market could reach $24.69 billion by 2034 5. Back platforms that plug AI physics models into dominant design tools.