Neara
6.5/10Neara builds physics-based 3D digital twins of electric utility networks from LiDAR, imagery and GIS data, used for resilience, wildfire, vegetation and capacity planning.
Data last updated November 2026 · Our methodology
Overview
Neara is a Sydney-based platform that turns a utility's existing LiDAR scans, imagery, GIS layers and asset records into a spatially accurate, physics-enabled 3D model of its overhead network. On that model, engineers can simulate wind, ice, thermal loading, flooding, vegetation encroachment, reconductoring and new builds, and see the effect on clearances, pole loading and safety factors. The results feed prioritised hardening plans, reports ready for regulators, and field work orders. The main use cases are resiliency and reliability (SAIDI/SAIFI), wildfire mitigation, risk-driven asset management that replaces time-based inspection, finding spare grid capacity for new connections such as data centres and renewables, and design and construction. It is aimed at network operators, from regional co-ops to national grid companies. Named customers include Southern California Edison, CenterPoint Energy, ESB Networks, Scottish Power, Hedno, and close to 90 percent of Australian network utilities. Engineering contractors such as Empact Engineering also use it for pole loading analysis at volume. Pricing is not published: buyers request a demo and get a custom enterprise agreement. Neara says it models more than 15 million assets across four continents. The main limitation is its narrow focus. Neara is built for overhead electric networks and is not a general maintenance or work-management system. Its value depends on having good LiDAR or imagery data, and independent user reviews are scarce, so buyers have to rely on vendor case studies and reference calls.
Our Rating
Industrial & Infrastructure Software6.8/10
AI Software6.3/10
Who Neara is best for
Good fit
Built specifically for electric network operators, with many named utility customers.
Used for grid capacity, hardening and connecting renewables.
Customers are large utilities on custom enterprise agreements.
Engineering contractors such as Empact Engineering use it for pole loading analysis at volume.
Less suited
No self-serve plan or public pricing, and it is aimed at network operators.
Pros & Cons
Pros
- Physics-based simulation of wind, ice, thermal and flood loading on real network geometry, beyond simple clearance checks
- Reuses a utility's existing LiDAR, imagery and GIS data instead of requiring new capture
- Strong customer evidence, including close to 90 percent of Australian network utilities and large US and European utilities
- Reported results such as reassessing condemned poles, cutting planned replacements from 25,000 to 4,000 at one US utility
- Brings planning, design, vegetation and wildfire workflows into one model
Cons
- No public pricing, and sold only as an enterprise agreement
- Narrowly built for overhead electric networks
- Results depend on the quality and coverage of the LiDAR or imagery data
- Almost no independent user reviews on G2, Capterra or Reddit
Key Features
Neara Pricing
Enterprise
- Custom pricing via demo request
- Physics-enabled network digital twin
- Weather, flood, vegetation and build scenario simulation
Frequently Asked Questions
Neara does not publish prices. Buyers request a demo and receive a custom enterprise quote.
It builds its model from a utility's existing LiDAR, imagery, GIS layers and asset records.
Wind, ice, thermal loading, flood, vegetation encroachment, reconductoring and new builds.
Utilities such as Southern California Edison, CenterPoint Energy, ESB Networks, Scottish Power, Hedno, Essential Energy and SA Power Networks, plus engineering contractors.
Yes. It raised an AUD 90 million Series D led by TCV in February 2026, bringing its total to about AUD 180 million. Coverage reported a valuation of about 1.1 billion.
Similar Tools
See all alternatives
Computer vision platform for utilities, mining, energy and transport operators that automates drone and camera-based asset inspections and continuous site monitoring.
Pointly is AI software from Berlin that classifies large LiDAR point clouds and extracts vector objects for utilities, railways, mapping agencies and surveyors.
AiDASH is a satellite and AI platform that utilities and other infrastructure operators use to manage vegetation, inspect assets, and plan for wildfire and storm risk.