The engineering bench behind the AI practice
Production AI touches CAD models, simulation data, PLM systems, cloud infrastructure, and security posture. Cloudster delivers all of it under one roof — in service of the AI outcome, not as a menu.
One integration layer — drawn, not listed.
Every Cloudster deployment follows the same shape: your existing systems feed a governed data fabric, best-in-class AI runs on top, and outcomes close the loop — all inside your own firewall.
Sovereign by design: your data never leaves the boundary. External or vendor models are optional — they're pulled in; they don't pull your data out.
AI services
Fine-tuning, RAG, and collaborative agents — including compact, grounded on-prem language models.
Data & analytics
Data pipelines, lakehouse architecture, and analytics that turn plant and enterprise data into decisions.
CAD services
2D/3D modeling, drafting, reverse engineering, CAD automation, and DFM/DFA from concept to manufacturing-ready.
CAE services
Structural, thermal, CFD, MBD, and electromagnetic analysis — fewer physical prototypes, faster validation.
PLM services
PLM implementation, data migration, customization, BOM integration, and change-management support.
Cloud consulting
Migration and hybrid-cloud strategy — cloud where it helps, edge and on-prem where sovereignty demands.
DevOps
CI/CD, infrastructure-as-code, and the MLOps discipline that keeps production AI healthy.
Application development
Custom applications and dashboards that put AI outputs in front of the people who act on them.
Not sure which capability you need?
That's what the Readiness Sprint answers — it maps the work to the outcome before you commit to anything.