The jury crowned ConeLabs as the winner. However, the other participants also impressed with forward-looking approaches addressing specific challenges within the industry. Perhaps one or two of these applications might be relevant for you as well? Here’s an overview 👇
ConeLabs (Techstars ’23): Inspections via Drone and AI
The winning start-up ConeLabs leverages drone technology and AI to revolutionize building inspections. Using high-resolution 3D models and automated analysis, the software precisely identifies structural issues and replaces manual, often risky inspections. Founder Albert Mansour, P.Eng., MBA, PMP emphasized in his presentation how the solution optimizes resources and minimizes risks.
Genia: Optimized Planning in Minutes
The Canadian start-up Genia, founded by experienced engineers, generates optimal plans within minutes using AI. After initial success with timber construction projects in Vancouver, Genia now supports building codes across Canada and the United States (@Genia: maybe soon in the EU as well?). A milestone was its involvement in the ReconstructLA initiative, where more than 11,000 properties destroyed by wildfires in Los Angeles are being redeveloped. Genia’s software also accelerates planning in compliance with current Californian building regulations.
mbue: AI for Quality Control in Architecture
Architect Jean-Pierre Trou, founder of mbue, focuses on AI-powered quality assurance. The software detects errors in construction documents that could otherwise lead to costly consequences. “Our technology makes design processes not only more efficient but also safer,” explains Trou.
Sabana (Techstars ’24): AI Against Supply Chain Disruptions
Founded in 2024 at Carnegie Mellon University, the start-up Sabana optimizes material procurement. Its AI predicts supply bottlenecks and accelerates product research—saving up to eight hours per week, according to the company. Sabana is currently in a testing phase and will soon go live for everyone. You can join the waiting list via their website.
GanttAI: Project Scheduling in Turbo Mode
GanttAI automates the creation of construction schedules by analyzing past projects. Founder Chirag S., formerly active in construction management, combines machine learning with traditional scheduling methods. The software generates detailed Gantt charts within seconds, including milestones and task dependencies. “Our goal is to radically simplify planning processes,” says Soni.
struct.digital: AI-Based Document Analysis
The bootstrapped start-up struct.digital has developed struct.answer, a tool for analyzing construction documents. It extracts relevant information, reduces risks, and even supports onboarding of new employees. Architects and engineers can query historical project data and instantly receive context-based answers.
Modalina AI: Unlocking the Power of Visual Data
Modalina AI transforms visual data from construction sites into actionable insights. The software aims to optimize quality control, logistics, and workflows. Many companies struggle to effectively utilize collected visual data. Modalina AI seeks to close this gap. Initial pilot projects already demonstrate strong potential.
