Every road tells a story. A hairline crack spreading across a desert highway. A faded lane marking on a Riyadh expressway. A pothole quietly becoming tomorrow's accident. These aren't just maintenance problems — they're signals. And until now, most of them went unheard.
Drishti changes that. Our AI turns ordinary dashcam footage into a living intelligence layer for national road networks — detecting defects, scoring severity, pinning every finding to an exact GPS coordinate, and generating cost-ranked repair plans automatically. No specialized hardware. No disruption. Just clarity, at scale.
We built Drishti on India's roads — among the most demanding environments on earth — and validated it on 34,000+ real-world road images spanning extreme heat, flash floods, mountain passes, and desert highways. Today we bring that intelligence to the Kingdom, where Vision 2030 and its giga-projects demand infrastructure that performs as boldly as the ambition behind it.
What sets Drishti apart: it monitors 144 road attributes across three pillars — pavement condition, safety, and roadside assets — in real time at 45–60 FPS, achieves 85% pothole detection and 97% surface-classification accuracy, and runs on any standard camera. It generates automated, standards-ready compliance reports and converts raw defect data into treasury-grade metrics — asset replacement value, cost-of-deferral ratios, and predictive maintenance forecasts that finance leaders and engineers both trust.
The future of infrastructure isn't only about building more. It's about knowing exactly what you've built — down to the last meter.
Meet Drishti at LEAP. Book a live demonstration →
