ConeLabs provides an engineering-grade platform for AI-powered 3D reconstruction and collaborative inspection of physical assets. Users upload imagery captured by standard hardware to generate high-detail, photorealistic 3D models for remote analysis. This system automates data capture and provides professional inspection tools to increase quality, productivity, and safety across building, utility, and transport infrastructure.
Funding
$170K 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.
Founders
Product
Problem
Traditional infrastructure inspections are time-consuming, costly, and often expose personnel to hazardous conditions. The use of 2D imagery can be limiting, requiring repeat surveys and manual verification of thousands of disconnected images.
Solution
ConeLabs offers an AI-powered inspection platform that leverages drone-captured imagery to generate high-resolution 3D models of buildings, utilities, and transport infrastructure. The platform enables remote teams to collaboratively inspect models, take measurements, add annotations, and label defects, all based on a single source of truth. By automating repetitive processes and providing centralized, comprehensive tools, ConeLabs helps engineers and technicians increase quality and productivity while minimizing risks and operational disruption. The platform is data source agnostic, allowing users to upload images from various sources, including smartphones, cameras, and drones.
Target Audience
ConeLabs serves engineers, technicians, and asset managers in the building, utilities, and transportation industries who require detailed and efficient infrastructure inspections.
Features
- Generation of photorealistic, high-detail 3D models from uploaded images
- Web-based application accessible on consumer-grade computers
- Measurement and annotation tools for detailed inspection and analysis
- Secure platform for remote team collaboration and model sharing
- AI-powered analysis of models for automated defect detection
- Compatibility with various image sources, including smartphones, cameras, and drones
- Ability to extract inspection data and link models to project reports