Robotic data collection
Gecko’s robots and sensors collect full-coverage, high-fidelity data from critical infrastructure so teams can inspect hard-to-reach assets with more complete physical context.
Gecko Robotics builds AI and robotics software for critical infrastructure. Inspect assets, plan maintenance, and guide capital and reliability decisions with Cantilever.
Gecko Robotics is an AI and robotics company focused on critical infrastructure. Its products are built to help organizations inspect, understand, and manage assets more effectively by combining robotic data collection with AI analysis.
The core offering centers on Cantilever, an operating platform that turns inspection data into a centralized view of asset health. Gecko says its robots and sensors gather high-fidelity physical data, which Cantilever uses to support maintenance planning, capital allocation, risk modeling, and life-cycle decisions across build, sustain, and modernize workflows.
Gecko’s robots and sensors collect full-coverage, high-fidelity data from critical infrastructure so teams can inspect hard-to-reach assets with more complete physical context.
AIR technology combines AI with robotics rather than treating them separately, with the site emphasizing that quality AI depends on first-order data and predictive models need context.
Cantilever centralizes robotic data layers and facility records into a single system so asset teams can work from one operational view instead of scattered inspection artifacts.
Cantilever uses AI-powered scenario modeling to recommend operational changes and repair plans, supporting more informed maintenance and reliability decisions.
The platform is positioned for use across the full asset lifecycle, from new construction through aging infrastructure, with support for build, sustain, and modernize workflows.
The company presents its tools as helping users improve operations, optimize capital outlay, and extend asset life, with outputs focused on decisions at scale.
Teams can inspect assets that are difficult, dangerous, or expensive to assess manually, using robots and sensors to collect data from across the structure.
Operations and reliability teams can use Cantilever to build a shared view of asset health and move from reactive maintenance toward more predictive planning.
Finance and operations leaders can use the platform’s centralized data and scenario modeling to make capital allocation decisions with clearer evidence.
Organizations running fleets of critical assets can bring together robotic data layers and facility records to establish a single source of truth across sites.
New construction and aging infrastructure teams can use the same platform to track baseline health and support build, sustain, and modernize efforts across the full life cycle.
Gecko describes itself as an AI and robotics company that helps organizations build, operate, and maintain critical infrastructure. Its Cantilever platform combines robotic data collection with AI analysis to turn inspections into a shared operational view.
The source materials point to defense, energy, oil and gas, manufacturing, steel, mining, pulp and paper, and power as relevant industries. Gecko also states it works with Fortune 100 companies and the U.S. Air Force and U.S. Navy.
Cantilever is presented as the operating platform that unifies robotic inspection data and facility records into a centralized system. It supports workflows such as baseline asset health, capital allocation, risk modeling, and full-life-cycle asset management.
No pricing information is shown on the pricing URL provided; that page returns a page-not-found result. The source does not describe public plans or pricing tiers.
The source describes Gecko’s robots and sensors as collecting high-fidelity physical data and says the software is built to use that data for analysis. It does not list named third-party integrations.