N-Smart continuously senses grid conditions, predicts asset risk, and prioritizes action before failures impact customers.
By combining grid-edge sensors, environmental intelligence, and explainable AI, N-Smart helps utilities identify risks earlier, improve reliability, accelerate restoration, and make more confident operational decisions.
Trusted by Utility Leaders Working to Modernize Grid Operations
Most utility infrastructure is still managed through periodic inspections and reactive processes. But risk develops continuously — weather changes in hours, equipment degrades every day, vegetation grows between patrols. By the time many problems are discovered, an outage, wildfire event, or restoration effort is already underway.
What is N-smart
Sensors + Network + Data + AI as a single integrated stack utilities deploy, not a patchwork of point solutions they have to stitch together themselves.
Sensors, connectivity, data, and device management are built in from day one, no complex third-party integrations required to go live.
No pre-provisioning, no IT setup. Any sensor onboards in seconds with a simple QR-code scan, so field crews deploy it themselves.
An open-standard, low-power IoT network spans the full path from remote edge devices to aggregation, with no dead zones.
Asset condition, environmental context, and work priorities are scored together in one model, not across four disconnected tools.
The N-Smart Platform
N-Smart converts continuous field signals into prioritized operational actions through a simple but powerful framework.
Collect live operational data from assets, infrastructure, and environmental conditions.
AI models evaluate conditions and identify emerging risks before they become incidents.
Deliver actionable recommendations to the teams responsible for reliability.
Solutions
Every application runs on the same AIoT and predictive intelligence foundation.
Storm Restoration
Understand field conditions before, during, and after major weather events.
Business Outcome
Accelerate restoration and improve situational awareness.
Field Operations
Business Outcome
Wildfire Mitigation
Monitor environmental conditions, correlate risk factors, and detect ignition threats earlier.
Business Outcome
Reduce wildfire exposure and support defensible mitigation decisions.
Asset Management
Identify degradation before structural issues lead
to outages.
Business Outcome
Reduce inspection costs while improving reliability.
Predictive Maintenance
Business Outcome
Extend asset lifespan and improve resource allocation.
Why N-Smart predicts better
N-Smart goes further by combining multiple intelligence sources into a single, contextual view of risk.
Live infrastructure conditions from connected sensors.
Current and forecast environmental conditions.
Field conditions affecting reliability and wildfire risk.
Environmental stress indicators.
Predictive models that continuously evaluate changing conditions.
Business rules and workflows that translate intelligence into action.
Not more data.
Better Decisions.
Utility operations increasingly require decisions that can be understood, validated, and defended. N-Smart provides:
Understand why a risk level changed.
Trace recommendations back to source data.
Continuously evaluate model performance.
Maintain auditable records of operational decisions.
Business Outcomes
Prioritize inspections using risk rather than fixed schedules.
Detect emerging issues before customers lose power.
Improve situational awareness and damage assessment.
Address degradation earlier in the asset lifecycle.
Provide greater visibility across grid operations.
“The question every utility executive is asking isn’t whether to invest in grid intelligence
That’s the entire premise of N-Smart.”
— Kiran Yeddala, CEO & Founder, N-Smart
Built for Utility Operations
The result is a unified view of reliability, risk, assets, and operations.
Get started
Bring us a feeder, substation, pilot territory, or operational challenge. We’ll demonstrate how N-Smart turns field data into earlier decisions and measurable operational outcomes.