Neara - Predictive Network Governance

Trusted by global utilities to keep networks safe and online in hurricanes, heat waves, hail storms, and more.

Outages and safety incidents are no surprise when you can only see a small fraction of your network at a time — and only see your assets and vegetation on their best behavior.

You’re trying to prioritize equipment maintenance, trim jobs, and capital projects —but you can only prioritize solutions to risks you can see.

You need to understand exactly how your assets will respond to severe weather —but field surveys only happen on fair weather days.

You need to prove your plan will actually solve reliability and resilience challenges —but measuring outcomes looks like guesswork.

Network governance is 80% reactive and 20% proactive. For utilities using Neara, it’s the other way around.

Generate behaviorally identical digital model of your entire network.
Every asset bends, deforms, and sways in response to >100mph winds, flash floods, and more exactly as it does in field. Correct GIS errors and set the record straight on every asset location, configuration, and clearance measurement.
Execute network-wide simulation analyses so you know exactly what to expect in the field.
Simulate scenarios like severe weather and new network design to pinpoint key vulnerabilities and test-drive potential remediation solutions before spending a dollar or breaking ground in the field.
Run reports that quantify network needs and measure outcomes.
Need to validate your vegetation budget number? Demonstrate which poles actually need replacement? Justify your new transmission line? Objectively define network needs with demonstrable data regulators and other key stakeholders will understand.

How To Fix The Greatest Threat to Reliability and Resilience

A Primer on Digital Risk Mitigation

Get a demo See How

Answer any question with Neara
If SE wind speeds exceed 70mph, which trees will be fall-in risks?	Complete vegetation work 50%faster
Which pole failures will cause the most outages in a storm?	Restore power 3x faster
Where will floodwaters recede fastest?	Remove 300 hours of manual inspection time
Where exactly would steel poles work best?	Defer 3k pole replacements
Where are conductor clash risks close to major highways?	Identify clash risk 10x faster
What’s the optimal span length for a new line over hilly terrain?	Design new network 85% faster
Which assets are missing from my GIS?	Correct 000’s of GIS discrepancies

Explore Solutions

9x	3x	3x
Identify and resolve outage risks 9x faster	Identify asset failure risks 3x faster vs. other software	Restore power 3x faster
Network Health & Reliability	Digital Asset Management	Weather Resilience & Grid Hardening

85%	2x	2x
Implement network design changes 85% faster	Without building new infrastructure	Correct ‘000s of GIS discrepancies
Network Design	Renewable Energy & Decarbonization	Digitization

Power your network to a whole new level

Conduct cost-benefit analyses
in minutes, not months

Eliminate thousands of field visits

Save millions of dollars annually

Talk to us to about how

Success stories

While piloting Neara, we were able to simulate the impact of major flooding in late March. Rather than wait for digital inspections we eliminated 300 hours of inspection time and targeted our response to customers that needed assistance most.

- Scott Ryan, Chief Asset & Operating Officer, Endeavor Energy

CASE STUDY

By monitoring water and clearance levels daily, SA Power Networks was able to leave power on for longer for many customers as the floodwaters rose and also restore power more quickly as water receded. This innovative approach allowed for the re-energisation of power lines within five days, compared with the originally anticipated three-week timeframe using traditional manual methods.

- Doug Schmidt, General Manager, Network Management

CASE STUDY

We have found that the temperature our lines can operate at is much higher than we previously understood. Historically, we have had to apply a crude standard across the network. By modeling each span individually, we found that in many parts, the capacity is twice as high as we previously thought.

- John Cleland, CEO, Essential Energy

CASE STUDY