Early Access

Make factory and warehouse video usable for robot training.

Vision Lab AI adds boxes, segmentation masks, and action events to video feeds frame by frame, helping robotics teams deliver training datasets in days.

Start Early Access See the pipeline

The data bottleneck holding robots back.

Factory footage differs from internet imagery. Its consistent geometry suits AI annotation, yet each project still needs a factory-specific class taxonomy assembled by hand.

70%
of ML spend on data prep
Industry estimate. Annotation, quality checks, and reformatting happen before training starts.
6+ weeks
camera to train-ready
Typical time for a robotics team to create labeled data from raw factory footage.
1 in 5
frames get human review
Industry estimate of human review demand in AI-assisted pipelines for industrial scenes.

From camera feed to dataset in three steps.

Send footage, define labels, then export. Vision Lab takes care of the annotation between each stage.

01
Add video clips

Accept MP4, AVI, and MOV from factory cameras or robot-mounted sensors. Upload a session or selected clips, and we process frames in order.

02
Set your project taxonomy

Name objects, specify action events, and choose the confidence threshold for human review. The AI picks up your vocabulary during its first pass.

03
Get your labeled dataset

Download COCO JSON or YOLO TXT, or push directly to S3/GCS. The AI removes duplicate frames automatically, while people inspect only low-confidence cases.

See the full platform
Early Access Results

Pilot team results

Internal beta results from the first cohort of early-access teams.

Labeling speed
~85 ms
per frame, internal benchmark
Agreement rate
94%
AI compared with human spot-checks, internal testing
Export timing
<48 h
upload to export-ready, pilot teams
First cohort
3 teams
teams shipped robot training datasets in first early-access month
Early-access voices

Pilot participant words

Our unusual object categories worked with the taxonomy configurator without starting retraining from zero. We added our vocabulary, and it generalized during the first session. That changed the equation for us.

PC
Priya Chen
ML Engineer, early-access program participant, warehouse robotics team

The low-confidence queue kept human oversight within reach. We had expected QA to become a bottleneck. Instead, two engineers could handle it as part of a normal afternoon.

RM
Rafael Muro
Robotics Lead, early-access program participant, manufacturing company
Pricing

Project-based pricing

Built for engineering teams, not annotation departments.

Pilot
$199 /mo

For teams testing the pipeline on one project.

  • 3,000 labeled frames/month
  • 1 active project
  • Standard class taxonomy (50 classes)
  • COCO JSON export
  • Email support
Start Pilot
Most Popular
Team
$599 /mo

For robotics teams in active training cycles.

  • 15,000 labeled frames/month
  • 5 active projects
  • Custom class taxonomy (unlimited)
  • COCO, YOLO, Pascal VOC export
  • S3/GCS direct push
  • Priority review queue
Start Team Plan
Studio
$1,499 /mo

For teams handling production-scale annotation needs.

  • 50,000 labeled frames/month
  • Unlimited projects
  • REST API access
  • Webhook on job completion
  • Dedicated model fine-tuning
  • Slack support channel
Start Studio Plan
Over 50,000 frames or need on-premise deployment? Email us. View pricing details

Better robot training starts with current data.

Send your video. We label the frames.

Start Early Access Talk to the team