Ensuring people remain at the heart of digital transformation. Laser focused on the most challenging operational problems. Built using our Atlas platform, Ada Mode combine powerful AI with operator knowledge to reach new levels of up-time, output and waste reduction.
“Ada Mode’s machine health AI enabled us to significantly reduce our turbine maintenance costs and reduce outage duration. This technology is now central to our long-term maintenance strategy.”
Establish and sustain a deep understanding of plant health, beyond SCADA data, to direct intervention and maintenance activity
Prevent catastrophic machine failure through automatic detection of anomalous behaviour prior to the event
Support operators by receiving automated recommendations on process parameter adjustment to boost output, reduce waste and reduce emissions
Reduce energy demand and control energy supply through dynamic optimisation of power consumers and producers
Understand plant behaviour and performance against design to guide investment decisions and warranty claims
Reduce Calibration Burden
Monitor critical sensor health to prevent adverse quality events and reduce calibration burden
Forecast future system performance and model different operational scenarios to inform decision making
Scale monitoring from component to portfolio level across the enterprise to guide CAPEX investment decisions
Exploit Disparate Data
Integrate unstructured contextual data, such as maintenance records, alongside time series data to boost analytical capability
AI technology used by major industrial operators to increase plant availability and optimise maintenance strategies. Eliminate unplanned downtime and reduce cost of maintenance.
Advanced machine learning control technology to boost output and minimise waste. Achieve better quality, reduce emissions and increase throughput without major CAPEX.