Innvendt
Innvendt brings intelligence to industrial environments — combining IoT sensors, edge computing, and AI analytics to predict failures, enforce safety, and provide complete asset visibility across electrical grids and industrial plants.
Technology Stack
What is Innvendt?
Innvendt brings intelligence to industrial environments — combining IoT sensors, edge computing, and AI analytics to predict failures, enforce safety, and provide complete asset visibility across electrical grids and industrial plants.
What it can do
Predictive Maintenance
Detects micro-anomalies in voltage, vibration, and temperature patterns to predict equipment failure days before it happens.
Edge Computing
Processes sensor data locally at the edge for sub-second decision-making without depending on cloud connectivity.
GIS Asset Mapping
Visualizes all industrial assets on an interactive geographical map for immediate situational awareness.
Safety Protocol Enforcement
Digitally enforces LOTO and isolation procedures — preventing accidental re-energization during maintenance.
Real-Time Alerting
Pushes instant SMS and email alerts the moment a sensor detects an unsafe condition or compliance deviation.
Digital Twin Integration
Creates a live digital replica of the electrical infrastructure for simulation, planning, and remote diagnostics.
Inside the platform
A full-stack IIoT platform for electrical grid monitoring that uses IoT sensors and edge computing to predict failures and reduce manual inspection by 60%.
60% reduction in manual inspection; 90% field team productivity improvement.
A cutting-edge IoT sensor that continuously monitors Earth Pit conditions and automates resistance measurement to ensure 24/7 electrical safety compliance.
Eliminates manual earth pit testing; 24/7 safety compliance.
Digital lockout/tagout solution using smart padlocks and a mobile app to enforce isolation procedures physically and digitally, ensuring 100% protocol adherence.
100% safety protocol adherence; zero accidental re-energization incidents.
Further reading
Beyond the Clipboard: Why Digital LOTO is an Industrial Imperative
Paper-based Lockout/Tagout procedures are the single greatest administrative gap in industrial safety programs. Digital LOTO transforms compliance from a filing exercise into a real-time, auditable safety system.
Proactive Grid Resilience: Sensing Fault Currents in Real-Time
Electrical faults in industrial grids don't announce themselves—they build slowly through leakage currents, insulation degradation, and ground impedance changes. Real-time fault current sensing turns these invisible signals into actionable alerts before catastrophic failure.
GIS-Based Asset Vision: Visualizing Industrial Infrastructure Health
Spreadsheets and asset registers tell you what you have. GIS-based asset vision shows you where it is, what condition it's in, and what needs attention—spatially, in real time, across your entire facility.
Detecting Failure Patterns: The Science of Leakage Current Profiles
Every electrical failure leaves a signature in the leakage current record weeks or months before it occurs. Learning to read these profiles transforms reactive maintenance into precision fault prediction.
Predictive Maintenance for Critical Assets: Moving from Reactive to Proactive
The gap between reactive and proactive maintenance is not just a technology gap—it is a data infrastructure gap. Here is the architecture for closing it across critical industrial assets.
The Cost of Downtime: How Real-Time Monitoring Protects ROI
Industrial downtime costs are systematically underestimated. When direct, indirect, and reputational costs are fully accounted for, real-time monitoring pays for itself in prevented incidents—not in years, but in months.