Conelabs

ConeLabs builds a web-based inspection platform that converts field imagery captured with off-the-shelf hardware — smartphones, cameras or drones — into high-resolution 3D photogrammetric models, then applies AI to detect and categorize defects and generate structured inspection reports. The workflow is described in four stages: capture imagery, upload it for cloud processing into a 3D model, inspect the model collaboratively with measurement, annotation and labelling tools, and export inspection data or link the model to a project report. Models are shareable as web links viewable on consumer-grade computers, which the company positions as a single source of truth for distributed inspection teams.

The platform targets defect types including cracks, infiltration, poor insulation, weather damage, subsidence and pavement defects, with reported location and severity quantification. ConeLabs serves three stated industry segments: buildings (envelope and structural defect analysis, quantity takeoffs, heritage preservation), utilities (power generation, water, telecommunications, and oil and gas infrastructure), and transport (bridges, roads, aerial and marine infrastructure). Customers cited are engineering firms and public agencies using the system to reduce manual work, standardize condition data and support maintenance decisions. The company frames drones as data-collection tools only, with its core differentiation in processing and analysis. Its application is currently registration-restricted to invited users.

Directory listings place the company's founding in 2023 and its size at 1–10 employees, with location variously reported as Kitchener, Waterloo, and England, United Kingdom.

Founding story

The company was started in 2023 by a team of structural and AI engineers based in Toronto who subsequently moved operations to Kitchener. Co-founder and CEO Albert Mansour is a licensed civil engineer (Waterloo) who previously served as president of a global 3D modeling company and co-founded a fintech; co-founder and CTO Ahmed Mahmoud holds a PhD in AI and sensor fusion with more than 12 years of computer vision research and experience leading government-funded projects.

Business model

ConeLabs operates a hybrid commercial model combining SaaS subscriptions with per-project usage fees, with large bridge inspection projects reported to generate up to $100,000 each. The company is reported to target gross margins above 70% as it shifts toward a fuller SaaS model in 2026.

SaaS subscription fees plus per-project usage charges tied to inspection engagements, with a stated intent to increase the recurring software share of revenue.

Traction

Reported traction includes dozens of completed projects, a growing customer base, six-figure ARR, and a proprietary training dataset exceeding one million images. The company won the $25,000 best pitch award and the Audience Choice Award at the Communitech Fast Track Cities showcase in November 2024, was selected for the Pitch Kitchener program with $100,000 in pilot funding for bridge and roadway inspections, and was named a Demo Day winner at the 2025 BuiltWorlds AI/ML Conference.

Latest developments

In June 2026 ConeLabs announced a $1.5M pre-seed round led by Spatial Capital with participation from Techstars, the Ontario Centre of Innovation, The Ricketts Family Trust, Team Ignite Ventures, Navis Capital and Exitfund, to be used for sales growth and market expansion. Work in progress includes a partnership with the Ontario Centre of Innovation on inspection of the Blue Water Bridge.