Don’t leave damage detection up to chance. Identify more equipment damage with AI-powered mobile inspections.
An estimated 2-3% of all equipment returns involve damage that goes unbilled. With an average repair cost of $1,000 per incident, manual inspections are draining your bottom line.
The largest rental companies in the world are already using AI Damage Detection to process thousands of reports a day and identify millions in damage annually.
With this success, we’re thrilled to finally bring this feature to teams using Texada’s mobile ecosystem.
We’re so sure that your team will see an immediate impact with AI Damage Detection that, upon activation, customers will get their first 300 inspection reports absolutely free.
No commitment. Just ROI.
See how it works for yourself with this interactive demo.
Benefits
AI Damage Detection quickly identifies damage, analyzing return photos to the checkout state in seconds.
Link detected damage directly to work orders and customer invoices to ensure you get paid for customer caused damage, and the customer is billed fairly.
Stage assets, handle check outs and returns, and perform damage detection all from your mobile device.










Discover the additional damage revenue your rental operation could recover with Texada.
Industry benchmarks indicate that 2–3% of equipment returns involve damage that goes unbilled. This calculator assumes 2.5% and an average of $1,000 in unbilled damage per incident.
Stay in the loop to be among the first to activate in April 2026.
AI Damage Detection is a proprietary tool that analyzes “before” photos taken at check-out (or during a previous inspection) and “after” photos taken at check-in.
Within three minutes, the images are analyzed to identify new damage and automatically highlights these findings with clear visual bounding boxes.
Texada AI Damage Detection is purpose-built specifically for the heavy equipment industry.
Unlike generic AI tools, it is domain-tuned to understand the realities of rental yards and job sites, meaning it can distinguish between mud or scuffs and actual structural damage that requires repair or billing.
The system is designed for high-confidence detection with a target false positive rate (FPR) of less than 2%.
To ensure accuracy and build trust, Texada utilizes a “human-in-the-loop” review process; any low-confidence findings are automatically routed to a human reviewer for validation before being flagged to your team.
No. AI Damage Detection is an embedded feature within the Texada Service & Rental mobile app that your team is already using.
Your team takes the same check in and check out photos as they do today, and the AI works in the background to send real-time push notifications if new damage is detected.
We’ll have more information closer to activation.