MODERNIZATION PATH · THINGWORX
Every estate is different. Kepware drivers, Thing models, custom mashups, historians, integrations — all need to be understood before anyone can scope a modernization path that protects what works and adds the autonomous capabilities the next phase requires. Start with a one-on-one with a Solution Architect.
No commitment. No pressure. Just clarity on what a path forward could look like for your environment.
As industrial operations move from monitoring toward AI-augmented and autonomous decision-making, teams using ThingWorx tell us they need three things their current platform was not architected to deliver. These are educational starting points — the right answer for your environment depends on what you have built.
ThingWorx is excellent at Human Agency Scale 1–2 — connecting assets and showing humans what is happening. Teams ready to progress to AI recommendations, supervised automation, and autonomous execution find they need a platform architected for it from the ground up.
Dashboards surface issues. The next step is AI that can diagnose root cause, recommend an action, and execute it — with human oversight in the loop until you are ready to widen the autonomy boundary.
Complex operations need multiple AI perspectives — diagnostic, planning, execution, compliance — coordinating like a team of experts. Multi-Agent Generative Systems sit at the centre of XMPro's approach to autonomous operations.
Whether any of this is true for your environment is exactly what a Solution Architect conversation is for.
A modernization path that requires you to rebuild every driver, every Thing model, and every integration is not modernization — it's a re-platforming project nobody asked for. The XMPro approach starts from what already works.
Your connectivity layer stays in place. Same drivers. Same tags. Same configurations. XMPro reads from Kepware as the OPC/industrial source — no rip-and-replace at the connectivity boundary.
Historical data migrates with continuity. Time-series, events, configuration history — the goal is no gaps, no orphaned datasets, and no loss of analytical context from the migration itself.
Thing models map to XMPro asset structures. Business rules transfer. The domain knowledge your team has encoded does not get rewritten from scratch — it gets carried forward into the new architecture.
How much of your ThingWorx environment maps cleanly is exactly what an assessment establishes — before any commitment to a migration plan.
SCHEDULE A ONE-ON-ONE COMPARISON
Most teams looking at this page want a conversation, not a positioning deck. Schedule a working session with a Solution Architect — we'll walk through your current ThingWorx footprint, what stays, what changes, and what realistic timelines look like for the modernization path you're considering.
Typically a 45-minute working session. Bring your environment questions.
The structured methodology XMPro uses for ThingWorx modernization. Timelines below are typical ranges — actual scoping depends on the assessment of your specific Thing models, integrations, and operational scope.
Typically 1–2 weeks
We analyse your ThingWorx environment together: Thing models and relationships, Kepware configurations, custom mashups and extensions, integration points.
You get: a migration roadmap with timeline, effort estimate, and scope of what carries forward.
Typically 4–8 weeks
Largely automated migration: Thing models map to XMPro asset structures, properties become data streams, Kepware stays in place, historical data transfers with continuity. Your team validates, we refine.
You get: a production XMPro environment running alongside your existing footprint until you're ready to switch over.
Ongoing
Now add the capabilities you came here for: AI-powered recommendations, predictive analytics, autonomous workflows, multi-agent coordination — progressing through HAS levels at the pace your governance and operational readiness allow.
You get: a platform that grows with the operation. No re-platforming for the next phase.
The numbers above are typical. The right scope for your environment comes out of the Assess phase — that's where the real planning happens.
Talk to us about your environmentTeams who get the most out of an initial Solution Architect session usually come with a concrete picture of where they are today and where they want to be. A few questions worth working through.
What does your current ThingWorx footprint look like — number of Things, mashups, custom extensions, integration points?
Which parts of the environment are working well today and should stay? (Kepware, historians, existing dashboards your operators rely on.)
What outcomes are you trying to unlock that the current platform can't deliver — AI recommendations, predictive intervention, autonomous execution?
What are your governance and oversight requirements at each Human Agency Scale level you'd eventually move to?
What internal constraints — budget cycles, change windows, operator training capacity — shape the realistic timeline?
If you'd like to understand the architecture you'd be modernizing to before scheduling a call, these pages cover the wider context.
READY TO TALK?
A Solution Architect will walk through your ThingWorx environment with you, surface what carries forward, and scope a realistic path. No pitch deck. No pressure. Just the working session that lets you make an informed decision.
