Battery Intelligence
Review charging patterns alongside workload. SOH is not presented as a confirmed estimate before validation.
Trial observationRONIQ INTELLIGENCE
Beyond displaying the numbers a robot sends.
Review robot operating history and observation quality within one customer to show assessable anomalies and their evidence.
Internal trial
Observation + confidence + evidence + next action
Results show 'Insufficient data' when history or quality is inadequate.
Anomaly Detection
Use each robot's typical patterns and adequate comparison groups within the same customer.
Initial scopeExplainable Health
Show observed values, coverage, evidence, model version and reasons for insufficient data together.
Initial scopeFault Prediction
Fault prediction performance and early warnings require further real-world validation.
Later scopePredictive Maintenance
RUL-based maintenance advice is subject to later validation.
Later scopeFleet Benchmark
Cross-customer comparison is outside the initial scope.
Later scopeStart with the robots you have.
A new way to operate.
Tell us about your robots, FMS and operating needs. Together, we check the environments that can connect.
Contact us