Groda · ALM · PLM · AI · PM/TM
We Keep the Digital Thread Intact
From the first requirement to the product in the field, Groda implements, migrates and runs the engineering teams that depend on: JAMA, DOORS, IBM ELM, PTC RV&S, JIRA, Github, Windchill, Teamcenter, and the cloud underneath them.
The pillars behind every engagement
Each capability owns a real piece of the product lifecycle mapped below; together they cover concept through service, and both ends of it in AI's case.
AI & Cloud
AWS & Azure enablement, business intelligence at concept, predictive maintenance in service.
Explore AI →PM / TM
Program, project, technical PM and test management governs every migration and release.
Explore PM/TM →Bounded, one-time engagements
System migrations, cloud modernization, data lake builds, automation and consultancy: scoped work with a clear start and finish.
See migration routes →Ongoing support & operations
Application administration, DevOps, monitoring, configuration and managed upgrades for every tool in your stack, every day.
See Managed Services →We've made these exact moves before
Six specific migration routes across ALM and PLM, each with its own data mapping and cutover playbook.
ALM migration
ALM migration
ALM migration · ongoing
PLM migration
PLM migration
PLM migration
A sample of recent case studies
From the PLM and AI/cloud stack: upgrades, cost optimization and AI foundations.
Windchill upgrade, 12.0 → 13.0.2
A managed upgrade path moving a production Windchill environment two major releases forward.
Cloud cost optimization
Reviewing application infrastructure and architectures end to end, then working with application teams on right-sizing and lower-cost alternatives.
AI architecture design for manufacturing
Setting up the AI foundations for a manufacturing customer, weighing Azure and AWS AI services in the detailed design.










Have a system to migrate, upgrade or run?
Tell us what you're working with today, and we'll tell you exactly how we'd approach it.
