Visual
Visual AI
For physical-world work where visual data can improve checking, monitoring, or response.
Where it fits
Built around the work.
Good for
Image and video analysis, inspection, counting, tracking, OCR, and monitoring.
First build
A working system on representative footage with a measured baseline.
Control
Versioned evals, confidence thresholds, human review below them.
What it does
What it can do.
Detect, count, and track what matters in your footage
Automate visual inspection with measured accuracy
Version and monitor models against a measured baseline
Deliverables
What you get.
01
Data and labeling plan
02
Trained model with a measured baseline
03
Serving and monitoring for your environment
04
Versioned evaluation harness
FAQ
Common questions.
Do we need a big labeled dataset?
Often less than expected. Work starts from strong pretrained models, tuned on your footage — labeling only what the evaluation requires.
Where does the footage go?
We design storage, training, and inference around your requirements, including deployment inside your environment when needed.