Autonomous AI designed to maximize uptime & extend asset life.
Modelled Case Study
Assets Operator
Context
Maintenance logs lived in notebooks, sensors sat unmonitored, and breakdowns surprised teams. Spare-parts inventory was scattered, so urgent repairs waited days. Technician know-how walked out the door at retirement. Asset utilization reports lagged weeks or months. Management wanted fewer unplanned outages and longer equipment life without complex CMMS rollouts.
Simulated Results
*Note: The figures above are produced from simulated data, based on real enterprise environments.
All-In-One Interface
Autonomous intelligence that maximizes asset performance.
Your AI operator monitors equipment health, schedules predictive maintenance, and digitizes handwritten logs—connecting sensors, technicians, and notebooks without requiring expensive CMMS implementations.
Features
Equipment Health Monitoring
Tracks sensor data, maintenance logs, and usage patterns for early warnings.
Predictive Maintenance Scheduling
Recommends service intervals based on actual wear, not just calendar dates.
Spare Parts Management
Forecasts part needs, tracks inventory, automates reorder for critical components.
Technician Knowledge Capture
Digitizes repair notes, how-tos, and tribal knowledge for team-wide access.
Downtime Impact Analysis
Calculates production loss per asset, prioritizes fixes by business impact.
Compliance & Audit Trail
Maintains service records, certifications, inspection logs for regulatory reporting.
Features built native to your operations
Our core asset operator modules driving maximum uptime and extended equipment life. Bespoke modules evaluated during discovery
Seamless Integrations
Directly into your existing systems
We're not here for digital transformation, we're here to further enable you without disruption.
How we work
We start with discovery, then move to deployment in 6-10 weeks.
Discovery
Review your asset management practices, connect monitoring systems, and set up maintenance prediction and scheduling.
6-10 weeks
Implementation
Deploy asset intelligence, train maintenance teams, and optimize equipment performance with continuous monitoring.