Computer vision
Labels for images and video. We do boxes, polygons, keypoints, masks, and frame-by-frame tracking.
Bounding boxesPolygonsKeypointsSegmentationVideo tracking
Now accepting enterprise clients
Data annotation for ML teams
We label your training data for computer vision, text, and LLMs. Senior annotators, clear guidelines, and fast turnaround.
Trusted by ML teams at
Examples
Typical annotation tasks
Simple, concrete tasks that ML engineers send us every day.
Image
Car / person / sign
Draw boxes around pedestrians and traffic signs.
Text
Intent / sentiment
Tag support tickets by topic and urgency.
LLM
Ranking
Rank model outputs from best to worst.
Services
What we do
Image labeling, text annotation, and custom workflows. We work with your schema or help you build one.
Process
How it works
You send us data and guidelines. We return labeled data with a simple, documented pipeline.
- 1
Scope
You tell us what you need labeled and how.
- 2
Test
We do a small batch to make sure we are aligned.
- 3
Label
Our team annotates the full dataset.
- 4
Review
QA checks everything before delivery.
- 5
Deliver
You get labeled data in your format.
Engagement models
How we work
Two options depending on what you need. Pricing depends on volume and complexity.
Managed services
Per-annotation
Starting at $0.08/annotation
- End-to-end project management
- Dedicated QA team
- Fast standard delivery
- Documented audit trail
- Volume discounts available
Most popular
Embedded teams
Ongoing annotation
Custom pricing / month
- Dedicated annotators in your workflow
- Direct Slack or Teams integration
- Uses your tools and governance
- Priority SLA (same-day available)
- Weekly check-in and planning
Research
Internal models
We also build our own models in specific verticals. These are internal projects, not client work.
Internal researchActive development
Farm Probability Model
Predicts crop yields for coffee farms based on soil, weather, and farming practices.
- Soil metrics, weather patterns, farm practices
- Yield probability plus simple recommendations
Internal researchBeta testing
Healthy Person Model
Estimates health risk probabilities from lab results and lifestyle data.
- Lab work, supplementation, lifestyle data
- Risk indicator probability scoring
Internal researchResearch phase
GakuGen Model
Experimental model for predicting price movements in crypto and commodity markets.
- Market data, on-chain metrics, sentiment
- Directional probability distributions
Contact
Want to work together?
Email us with what you need labeled, how much, and when you need it. We usually reply within a day.