Gecko Robotics provides autonomous climbing, crawling, underwater and aerial robots together with fixed sensor arrays to collect high‑resolution inspection data from critical industrial assets. Its Cantilever platform fuses the data using AI analytics to create digital twins, generate predictive health scores and automated repair recommendations, helping operators in energy, manufacturing and defense move from reactive to predictive maintenance and reduce capital spend.
Funding
$125M 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.
+8Founders
Product
Problem
Critical physical assets in energy, defense, manufacturing, and related sectors suffer from aging infrastructure, limited visibility, and reactive maintenance practices that lead to unexpected failures, high downtime, and inflated capital expenditures. Existing inspection methods are labor‑intensive, unsafe, and generate fragmented data that cannot reliably predict asset health.
Solution
Gecko Robotics combines autonomous climbing, crawling, swimming, and flying robots with fixed sensor networks to capture high‑resolution, first‑order data layers across asset surfaces. These data streams are ingested by the Cantilever operating platform, which leverages proprietary AI‑and‑Robotics (AIR) algorithms to fuse sensor inputs, generate digital twins, and produce a unified “single source of truth” for each asset. The platform delivers predictive health scores, automated repair recommendations, and scenario‑based budgeting tools, enabling operators to shift from reactive to predictive maintenance, reduce capital spend, and extend asset lifecycles. All insights are accessible via a secure web dashboard and API integrations, supporting end‑to‑end decision making from design through decommission.
Target Audience
Primary customers are asset‑intensive operators in energy, power generation, steel, mining, pulp & paper, and defense sectors that require high‑fidelity inspection data and predictive asset‑management capabilities.
Features
- Wall‑climbing, crawling, underwater, and aerial robots equipped with ultrasonic, visual, and laser scanners for full‑coverage inspection.
- Fixed‑point sensor arrays that continuously monitor temperature, vibration, and corrosion indicators.
- AIR‑powered AI analytics that perform anomaly detection, degradation modeling, and digital‑twin generation.
- Predictive maintenance forecasts with confidence intervals and automated precision repair plans.
- Dynamic budgeting and capital‑allocation models driven by real‑time asset health data.
- Scenario‑based optimization and what‑if simulations using integrated digital twins.
- Secure, cloud‑hosted data lake with role‑based access controls and end‑to‑end encryption.
- Open APIs for seamless integration with existing enterprise asset‑management and ERP systems.
- Scalable deployment across multiple industries, from steel mills to naval vessels, with a unified user interface.