detectly
detectly is a cloud-based fleet safety platform that automatically analyzes dashcam footage to detect five incident types—following too close, cut-in, pedestrian hazard, hard braking, and lane drift—without requiring new hardware or manual review. The system returns a risk score (0–100) and annotated clips in under 60 seconds per upload, with a driver risk leaderboard for tracking safety trends over time. Plans start at £19.99/mo and include unlimited uploads for up to five drivers.
- Mobility & Transportation
- Automotive Technology
- Artificial Intelligence
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Most fleet dashcam footage is only reviewed after a complaint or a claim, meaning dangerous driving habits go undetected for weeks. Manual review of hours of footage does not scale, and without aggregated data across every driver, the same risky behaviors repeat across the fleet unnoticed and unaddressed.
Solution
detectly provides a cloud-based platform that automatically analyzes any dashcam footage upload, detecting safety incidents without requiring manual review, additional hardware, or integrations. The system checks every clip for five incident types—following too close, cut-in, pedestrian hazard, hard braking, and lane drift—and generates a risk score from 0 to 100 based on severity. Results are returned in under 60 seconds, with annotated video clips and a color-coded, interactive incident timeline that lets fleet managers jump directly to any incident. A driver risk leaderboard tracks safety trends per driver over time, enabling managers to identify repeat patterns before they become costly incidents. The platform also includes a fleet analytics dashboard with risk-by-week breakdowns and PDF/CSV export for compliance reporting. All footage remains private and is never used to train AI models or shared with third parties.
Target Audience
Fleet operators of all sizes, from small fleets tracking basic safety to established operators needing full platform access and compliance reporting.
Features
- Automatic detection of five incident types on every upload: following too close, cut-in, pedestrian hazard, hard braking, and lane drift
- Risk score (0–100) assigned per upload, with high-severity incidents contributing more to the score
- Annotated clip export with bounding boxes, severity banners, and watermark, ready for playback in any browser
- Interactive, color-coded incident timeline allowing direct navigation to any incident clip
- Results processed and returned in under 60 seconds from upload
- Driver risk leaderboard for tracking safety trends and repeat patterns per driver over time
- Fleet analytics dashboard with risk by week, incident breakdown by type, and severity distribution
- PDF & CSV export for compliance-ready reports (available on Growth plans and above)
- Optional driver and vehicle metadata association for contextualizing footage
- All data encrypted in transit (TLS) and at rest, with private file storage and signed URLs with short expiry