GoodFriday Robotics provides autonomous robotic surveys of hazardous or inaccessible infrastructure such as live sewers, tunnels, and confined spaces. Their robots capture high‑resolution LiDAR and photogrammetry data, which is processed into precise 3D digital twins and delivered via the Halo platform for measurement, collaboration, and integration with asset‑management systems.
Funding
Funding not disclosed
Founders
Product
Problem
Inspecting live sewers, siphons, tunnels, and other confined or hazardous infrastructure requires personnel to enter dangerous environments, leading to safety risks, high labor costs, and limited access to accurate data.
Solution
GoodFriday Robotics deploys autonomous robotic platforms to capture high‑resolution sensor data inside inaccessible assets. The robots are sent on‑site after a brief consultation to define survey requirements and any custom adaptations. Collected data are processed into precise 3D digital twins, which are then delivered through the Halo platform for interactive viewing, measurement, and collaboration. This workflow eliminates the need for human entry, reduces survey time, and provides asset owners with reliable, up‑to‑date models for inspection, maintenance planning, and regulatory compliance.
Target Audience
Primary customers are municipal utilities, water and wastewater agencies, transportation departments, and private infrastructure owners who need safe, repeatable surveys of underground or confined assets.
Features
- Mobile robotic units equipped with LiDAR, photogrammetry, and environmental sensors for comprehensive asset capture
- Autonomous navigation and obstacle avoidance tailored to confined, wet, or hazardous spaces
- Rapid on‑site deployment by a pilot team, minimizing disruption to operations
- Automated processing pipeline that generates accurate 3D point clouds and mesh models
- Halo web platform for secure access, measurement tools, and collaborative review of digital twins
- Compatibility with existing asset management systems via standard data export formats (e.g., IFC, OBJ, LAS)