Wednesday, August 5, 2026
Cleverdist will present its IO solution at SIDO in Lyon on September 16 and 17, 2026, at booth O428
Cleverdist will present its IO solution at SIDO in Lyon on September 16 and 17, 2026 , at booth O428 .
At this event, Cleverdist will present IO - Industrial Operator , its industrial AI solution designed to help operational teams make better decisions, faster, from their existing data.
Cleverdist will also participate in the round table:
"Can agentic AI be used to serve industrial processes?"
Cleverdist will speak alongside Alain Vafiadès, CEO of Allioss, to share initial field feedback on the application of agentic AI to industrial operations.
Cleverdist is currently supporting Allioss , a French industrial group active in engineering, manufacturing, machining and mechanical maintenance for demanding sectors, including nuclear, in the launch of its first IO missions.
These initial missions focus on three concrete operational priorities:
- Production planning
Improve visibility on workshop scheduling, operational flows and bottlenecks.
- Use of machines
Reduce waiting times between machines and between production steps in order to improve workshop efficiency.
- Maintenance and incident resolution
Detect deviations earlier, accelerate problem resolution and provide operators with directly actionable information.
IO is an AI software layer that connects to existing industrial systems - machine data, SCADA, MES, ERP, maintenance, planning or quality - without replacing them.
Starting from a specific operational mission, IO gathers the relevant context, reasons about the constraints and possible actions, then recommends the best action to the operator.
In supervised mode, the user retains the decision: they validate the proposed action, then IO can prepare or execute it via existing industrial systems, within the limits explicitly authorized and traced by the organization.
With IO, Cleverdist opens a new stage for industrial operations: that of an AI capable of amplifying both the performance of existing assets - machines, equipment, production lines - and the ability of the teams that operate them to take action.
By operating continuously, 24/7, IO can rapidly analyze a volume of data, constraints, and scenarios that would otherwise require considerable human time. The goal: to help manufacturers better utilize their existing assets, react more quickly to operational disruptions, and make better decisions on a daily basis.