Model pre-labelling
Bring your own model or start from a general one.
Acceleration you can measure
AI-Assisted Tools
Pre-labelling, interactive segmentation and propagation — each with its effect on quality measured.
Speed That Does Not Cost Accuracy
Every assistive feature is an accuracy risk until proven otherwise. Each is measured against blind, unassisted control batches so its effect on quality is a number rather than an assumption.
What Is Included
Interactive segmentation
Click and refine, at pixel level.
Frame propagation
Labels carried across video, then verified.
Smart selection
Region and object grouping to reduce clicks.
Auto-QA flagging
Suspicious labels surfaced for human attention.
Active learning queues
Work ordered by what the model most needs.
How We Work
- Assistance is a suggestion It never becomes a label without a human decision.
- Effect measured per feature Each accelerator is evaluated separately.
- Thresholds are configurable A high-risk project can turn assistance down or off.
- Transparent reporting Assisted proportion is stated in every delivery.
The Controls Behind It
- Control batches Unassisted samples measure the real effect.
- Correction-rate monitoring A rising correction rate is an alarm, not a statistic.
- Model provenance The assisting model and version are recorded per label.
- Opt-out per project Assistance is a project setting you control.
Ready When You Are
Tell us what you are building and we will come back with a plan, a sample and a price.