Indao is an advanced-analytics SaaS platform that turns industrial data into operational decisions. It connects to existing PLCs, SCADA and historians, with no extra sensors, to cut energy losses and flag process drifts before they hit production.
Energy and resource losses hidden in industrial processes: drifts, anomalies and unplanned stops that SCADA and ERP data show but don't explain. Indao reports 15–30% lower energy and resource consumption on representative use cases, with a first deployment in 4–6 weeks.
At Engis, Prayon's sulphuric acid units produce large amounts of recoverable steam, but the steam network was run on operator experience alone. Indao now monitors steam production and consumption in real time, across the acid units, boilers and storage, and uses predictive models to flag performance drifts.
Data from the conveyors and equipment of Valtris's PMC sorting line was hard to read and slow to consolidate. Indao added clear dashboards, real-time monitoring and predictive models to anticipate anomalies, rolled out with a follow-up every two weeks.
Inopsys runs mobile and on-site units that treat liquid effluents from industrial processes, but its teams had little reliable insight into remote operations. After a proof of concept and a step-by-step rollout, Indao provides real-time monitoring, predictive models and root-cause analysis for every unit.
2Valorise runs biomass plants that produce electricity and heat. At its Amel site, Indao monitors the steam network and the thermodynamic performance of the Rankine cycle, using dashboards and analytical models to catch the drifts that reduce power output.
Eko-Myśl operates sorting, recycling, RDF, biogas and composting facilities where energy and waste-flow data was fragmented. Indao dashboards now cover waste volumes, flow composition, energy use and performance per shift.
CRM Group, a research centre for metallic materials, had large hot-rolling datasets that were slow to exploit. With Indao, the team imported, cleaned and modelled the data to rank the parameters that most affect the friction coefficient, with explainable results and no coding.
CoCEPTIO designs industrial infrastructure and clean rooms where HVAC systems are critical assets. Indao structures and contextualises historical HVAC data, identifies the variables that matter and ranks energy optimisation levers. The project is in an advanced experimentation phase.
Optical ground stations use lasers to link satellites and Earth, and rely on sensitive optical and tracking systems. In the ESA-funded OGSC project, HITEC is evaluating Indao to analyse subsystem data and spot anomalies early.
“Indao helps us synthesise, organise and present our data in a simple and fluid way. Thanks to this real-time visibility, we have significantly reduced unplanned downtime.”
“Flexible, multi-purpose, easy. Indao delivers significant value for a reasonable effort.”
“With Indao, we have a reliable and efficient partner that helps us identify optimisation opportunities where we did not expect them. The solution is easy to use and delivers tangible results.”
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