The platform offers an AI-powered, cloud‑based engine that ingests drone, aircraft, and ground imagery to automatically generate per‑asset risk scores for transmission and distribution grids. It provides both Inspection‑as‑a‑Service and SaaS tools, including scenario simulations and API integration with GIS, ERP, and SCADA systems, enabling utilities to prioritize maintenance and capital planning.
Funding
$32.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
TCFounders
Product
Problem
Utility operators rely on manual, labor‑intensive inspections and fragmented data sources to assess the condition of transmission and distribution assets. This approach leads to delayed risk identification, inefficient capital planning, and higher outage durations, especially in high‑hazard zones such as wildfire‑prone or flood‑risk areas.
Solution
The platform provides an AI‑driven, cloud‑based engine that ingests imagery and sensor data from drones, helicopters, ground crews, or existing GIS systems and automatically generates risk scores for each grid asset. By applying more than 80 pretrained computer‑vision models to millions of annotated images, the solution delivers objective, asset‑level condition assessments without requiring on‑site visits. Users can query a global asset database, run scenario simulations (e.g., wildfire or flood exposure), and prioritize maintenance or capital projects based on quantified risk. The service is delivered as both Inspection‑as‑a‑Service (IaaS) and Software‑as‑a‑Service (SaaS), enabling utilities to scale virtual inspections across thousands of miles while integrating results directly into ERP or asset‑management platforms.
Target Audience
Primary customers are transmission and distribution utilities, grid operators, and asset‑management teams that need data‑driven risk assessment and maintenance planning for large‑scale power networks.
Features
- Hardware‑agnostic data ingestion pipeline that accepts imagery from drones, manned aircraft, or ground teams and normalizes it for AI processing.
- Over 80 specialized AI models for defect detection, vegetation encroachment, conductor wear, and other critical asset conditions, delivering per‑asset risk scores in near real‑time.
- Cloud‑native analytics workspace with risk‑based dashboards, scenario simulation tools (wildfire, flood, load growth), and API endpoints for seamless integration with existing GIS, ERP, or SCADA systems.
- Inspection‑as‑a‑Service offering end‑to‑end virtual inspections, including flight planning, data capture coordination, and automated report generation.
- Scalable SaaS subscription that supports enterprise‑wide asset inventories, with role‑based access controls and compliance‑ready data storage.
- Global asset reference database compiled from 300,000+ km of inspected lines, providing contextual benchmarks for new assets.