Ship faster with focused data annotation, a 150k key‑frame dataset, ready driver & roadside AI computer vision models, and a hardened DMS module. Deploy on edge or cloud, from POC to production.
No NDA needed for sample. Enterprise licensing available.
Driver Annotation
98‑pt WFLW, gaze, head pose
Roadside Perception
objects, lanes, signs
Pre‑trained Models
driver & roadside
Drowsiness/Distraction
production module
Prove feasibility fast with our pre‑trained models and a sample of labeled data.
Tighten the loop: add targeted annotation and evaluation harnesses.
Deploy to a small fleet or internal users with support SLAs.
Scale confidently with hardened modules and ongoing data refresh.
Labels for drivers (landmarks, gaze, actions) and roadside (lanes, signs, vehicles, pedestrians).
Curated frames for drowsy/distraction states and varied conditions.
Baselines for driver & roadside tasks—fine‑tune quickly.
Heuristics + ML for drowsiness, distraction, and compound events.
If you plan to Build your Own
Driver monitoring system In-house
For companies who have DMS device Deployed but
need to validate the data before showing on dashboard
One time licensing model making it insanely 5x cost effective compare to in house solution
We deliver the solution within 2 month period
Tell us your current stage (POC, prototype, pilot, production) and what success looks like. We’ll suggest a path to measurable impact.
Yes. We support ONNX/TensorRT and provide recommendations for Jetson and ARM boards. Cloud deployment via container images is also available.
We fine‑tune on your data and environment, run error analysis, and deliver updated checkpoints with evaluation reports.
We offer tiered licensing for research, commercial, and OEM/Tier‑1, with options for source escrow and SLAs.
Yes—SDKs for C++/Python and a gRPC microservice make integration straightforward for both on‑prem and cloud.