T2D2 is an AI cloud software platform designed to help building inspectors and property owners automate the process of drone-assisted damage detection and exterior asset inspection. T2D2 uses advanced computer vision technology trained on hundreds of thousands of forensic images to identify signs of structural deterioration earlier and more accurately than traditional, manual inspection methods.
The platform streamlines data capture, analysis, and ongoing monitoring from drone imagery, allowing users to catalog and assess building exteriors efficiently. By automating much of the inspection workflow, T2D2 aims to reduce human error, speed up the reporting process, and provide deeper insights into asset conditions.
Unlike manual inspections, which rely heavily on visual assessment and can be time-consuming, T2D2 leverages AI to:
- Detect and classify types of damage in images collected via drones
- Organize and store inspection results for easy tracking and compliance
- Enable earlier intervention and maintenance planning by recognizing deterioration sooner
How was T2D2 started?
T2D2 was founded by a team with significant expertise in engineering, AI, and infrastructure management. Key founding members include Jonathan Ehrlich (CEO) and Badri Hiriyur (Founder and CTO), supported by advisors Ray Daddazio, Grant McCullagh, Gary Mancini, and Tom Scarangello. Their combined backgrounds span civil engineering, technology, and building lifecycle management. More on T2D2's origins can be found on their About page.
Who uses T2D2?
T2D2 primarily serves building inspectors, property owners, and asset managers who are responsible for the maintenance and safety of building exteriors. The software is particularly valuable for organizations managing large property portfolios or overseeing critical infrastructure where early detection of deterioration can reduce costs and risks. Specific customer names are not publicly listed.
What makes T2D2 different?
T2D2's differentiation lies in its use of AI models trained on extensive forensic imagery. This enables faster, more accurate, and more consistent detection of structural issues compared to traditional human-led inspections. The platform's focus on drone integration and cloud-based analytics also streamlines workflows for inspection teams.
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