Strat & IoT supports industrial companies in their transition to Industry 4.0, connecting production equipment to genuine operational decision-making capabilities. We work on the interoperability of historically heterogeneous systems, IT/OT convergence across MES, ERP and SCADA, as well as the deployment of predictive maintenance solutions capable of reducing unplanned downtime and improving OEE. Each project is built on a reliable asset context to transform simple sensor data into an actionable decision on the field. It integrates industrial cybersecurity requirements from the outset, with segmentation adapted to production constraints. Our approach focuses on repeatability: a use case validated on one production line or site becomes a replicable model, ready for multi-site scaling.
What is the link between data and decision-making?
Collecting data is not enough: it must be connected to an action through analytical models and integration with decision-making systems (MES, ERP). Bosch illustrates this well: at its Mondeville site, real-time data analysis reduced defects, waste and breakdowns, while cutting line changeover time from 30 to 5 minutes. The value is not in the data itself, but in the decision it enables to be made earlier.
From Strategy to Scaled Value
Assessment
Diagnose ambition, data maturity, operating constraints, and value pools.
Strategy
Prioritize the highest-value opportunities, governance, and executive alignment.
Implementation
Industrialize architecture, workflows, capabilities, and controls.
Optimisation
Measure real value creation and achieve sustainable, continuous improvement.
Maintenance
Securing long-term performance through continuous and predictive monitoring
Where does the momentum come from?
Connected asset context
This is what transforms simple sensor data into actionable information: which asset, in what condition, and for how long.
Operations for decision-making
Making operations decision-ready means eliminating the delay between the signal being detected and the action being triggered in the field.
Multi-site scaling
Multi-site scaling relies on a standardized architecture and a unified governance model capable of managing each new site.
What are your pain points?
- Heterogeneous legacy systems
- Complex IT/OT integration
- Unplanned downtime and insufficient OEE
- Industrial cybersecurity
Where should we focus our efforts?
- Progressive interoperability architecture
- Phased IT/OT convergence
- Predictive maintenance and real-time monitoring
- OT hardening and segmentation
What are our tools?
The delivery model is built around a concrete set of platforms, operational signals, and transformation capabilities selected to address the specific realities of the mission.
with a financial, operational and/or strategic benefit
- Production continuity preserved
- Controlled IT/OT convergence
- Fewer unplanned downtime events and improved OEE
- Secure production without interruption.
A good lessons-learned process turns every resolved failure into a new signal for refining predictive maintenance.
Production capacity directly depends on OEE: every unplanned downtime event reduces the actual production potential accordingly.
It is the assurance that a process delivers the same result, cycle after cycle, regardless of the operator or the time.