Your equipment, your people and your enterprise, connected through data and AI.
Three platforms.
One solution, delivered by InspireXT.
Connected Shopfloor brings equipment data, operational workflows and AI into the decisions
your teams make every day.
Litmus provides trusted industrial data. Oracle connects it to execution. Databricks brings data and AI across the operation. InspireXT designs and implements the connections between them.
Machines, assets, PLCs, SCADA and sensors
Connectivity · Edge analytics · Edge AI · Data publishing
Manufacturing · Maintenance · Quality · Inventory · Planning
Governed OT and enterprise data · Analytics · AI/BI and Genie · AI agents and machine learning
Insights and governed recommendations feed back into operational decisions.
Connect equipment and industrial systems, normalise data at the edge, and publish it to enterprise and data platforms. Local analytics and deployed AI models support timely insights close to the process.
Reference solution view. The platforms, integrations and AI capabilities are selected around your existing landscape, priorities and deployment requirements.
Every signal follows the same path, from the machine to the decision, with people in control at each step.
Connect equipment and industrial systems, and give every machine event its asset, process and production context.
Combine shopfloor and enterprise data to see the loss, the likely cause and the pattern behind it
Route validated events into maintenance, quality, inventory and planning workflows, with agreed controls.
Litmus · Oracle · Databricks
Connected Shopfloor is a business transformation. We bring manufacturing and maintenance expertise, OT
and IT integration and data engineering together, from the first use case to everyday operations.
Prioritise uptime, quality and throughput challenges. Agree a baseline, measurable outcomes and a practical roadmap.
Assess your assets, systems and data. Define the architecture, security, integration patterns and operational responsibilities.
Implement Litmus connectivity and data models. Give machine events the asset, process and production context people need.
Configure Oracle processes and integrations so shopfloor events inform production, maintenance, quality, inventory and planning.
Build the governed data foundation. Configure and validate analytics, AI assistants and prediction use cases with your teams.
Test end to end, train users and support adoption. Measure results, refine the solution and scale proven patterns across sites.
Business context + industrial connectivity + enterprise execution + AI
Monitor vibration, temperature and pressure with asset context, separate real faults from passing noise, and route validated events into maintenance workflows.
Unplanned downtime · Response time · Repeat failures
Capture sensor or vision inspection results with the production record, and link lots, serials and process parameters for full product
genealogy.
Scrap and rework · Investigation time · First-pass quality
Capture starts, stops, completed quantities and rejects, track OEE and reason-coded losses, and connect production progress to inventory and planning.
OEE · Schedule attainment · Manual reporting effort
Local analytics and AI models run close to the equipment and pick up patterns and deviations as they happen.
Use case: equipment condition insight
Operators find approved procedures and draft work instructions without leaving their manufacturing workflow.
Use case: procedure and instruction advisors
Industrial and enterprise history come together for analytics, AI agents and questions asked in plain English.
Use case: cross-site performance analysis
Built on trust. We define data ownership, permissions and quality checks, test AI against real operating scenarios, and keep people in control of critical decisions.
Each platform has a clear role. InspireXT brings them together around the way your business operates.
Connect machines and systems, standardise and contextualise data, and publish it to the platforms that need it.
Connect shopfloor events to manufacturing, maintenance, quality, inventory and planning processes.
Combine OT and enterprise data in a governed foundation for insight, prediction and intelligent applications.
A connected shopfloor links machines, sensors and production systems to the enterprise systems that plan and record the work, so machine data informs maintenance, quality and planning decisions as they happen. InspireXT’s Connected Shopfloor connects equipment data, operational workflows and AI around the systems a plant already runs.
No. A connected shopfloor works alongside an existing MES and ERP. It brings in the machine data those systems often leave on the line, such as settings and sensor readings, and connects it to the production records and decisions they already hold.
Yes. A connected shopfloor project starts with an assessment of equipment, interfaces, protocols, network access and data quality, and InspireXT then defines an integration approach that fits the plant and proves connectivity through an agreed pilot.
With InspireXT, the discovery stage of a connected shopfloor implementation typically takes four to six weeks and ends with a prioritised use case and an agreed baseline. A focused pilot then proves the connected workflow on real equipment before it is scaled.
Yes. Once a connected workflow is proven at one site, the same data models, rules and reports are rolled out to the next, so every plant is measured on the same numbers and can be compared directly.
Let’s identify the right starting point for your Connected Shopfloor.
