AI is reshaping how manufacturers operate. It’s changing how we detect inefficiencies, predict failures, optimize performance, and unlock entirely new levels of speed and reliability in production. But while the promise of Industrial AI is real, the path to scaling it has been anything but simple. For many organizations, the challenge isn’t the AI itself—it’s the data foundation underneath it. Most existing industrial data systems were designed to connect machines, not to support analytics, orchestration, governance, or AI across multiple sites. Connectivity solved the first problem. Scaling is the next one.
And the time to address that next step is now.
With TPG acquiring PTC’s Kepware and ThingWorx businesses, many manufacturers are pausing to evaluate their long-term architecture. Not reactively, but strategically with foresight.
Questions we’re hearing from customers today include:
How do we make sure our data foundation supports AI across every site?
How do we standardize and govern data as we scale?
How do we move from pilot projects into repeatable, enterprise-wide deployment?
These are questions about planning, control, and business continuity. This moment creates space to rethink what’s possible, and to modernize with intent.
Scaling AI requires more than connectivity. It requires:
Real-time data processing at the edge
Contextualization so data can be trusted and used
Governance and security that scale across environments
Fleet-wide deployment and management (not site-by-site configuration)
Seamless integration with cloud and analytics platforms
This is the foundation global manufacturers are now building toward, and where we’ve spent years helping teams evolve.
To support manufacturers preparing for this next phase, we’re launching the Litmus Migration Program. This is a structured, collaborative, and low-disruption approach to modernizing industrial data environments.
This program helps organizations transition from single-purpose connectivity tools to a unified, AI-ready data foundation that scales across every site, at your pace and with full operational continuity.
Migration Phase | Value Delivered |
Architecture & readiness assessment | Clarity on what needs to change and what doesn’t |
Parallel pilot deployment | Proof of performance without interrupting production |
Phased multi-site rollout | Standardization to eliminate rework and configuration drift |
Training and team enablement | Confidence to operate and scale at your pace |
Every plant environment is different. Every organization has its own readiness curve. That’s why this program is built around three principles:
No downtime
No forced timelines
No disruption to ongoing operations
Just clear steps, guided decision-making, and scalable outcomes.
This is not about replacing a tool. It’s about preparing your operations for the next decade of data-driven manufacturing. A modern foundation ensures that as your AI strategy matures, your data can support it reliably across every plant.
This is your opportunity to:
Reduce future operational risk
Standardize and govern data more effectively
Prepare your infrastructure for AI-driven workstreams
Completed all on a unified data platform.
If you’re evaluating your data architecture and how it will support your AI roadmap, our team is here to help. Explore the Litmus Migration Program.