Data annotation services
Training data your models can actually learn from.
Image, video, audio and text labelling by trained human annotators — following your guidelines exactly, checked for consistency, and delivered in the format your pipeline expects.
LABELS
LABELS
Annotation types
Labelled the way your model needs.
Bounding boxes
Tight, consistent boxes around every object class you define, for detection models.
Polygons & segmentation
Pixel-precise outlines for irregular shapes and segmentation masks.
Image tagging
Scene, attribute and category tags for classification and search datasets.
Audio labelling
Speech, speaker, music, noise and event segments with precise timestamps.
Speech data for ASR
Verbatim, time-aligned transcripts to train and evaluate speech recognition — our core strength.
Text annotation
Classification, sentiment and entity tagging for language models.
How a project runs
Start small. Scale when the quality is proven.
Scope
Share your data, label schema and guidelines. We flag edge cases before work begins.
Pilot batch
We label a small sample so you can check quality against your expectations.
Production
Trained annotators label at volume, with reviewers checking work for consistency.
Deliver
Export in your format — or directly in your annotation tool — on an agreed schedule.
Trained on your guidelines
Annotators are trained on your guidelines with a pilot batch first, and reviewers check work throughout production so edge cases are handled the same way every time.
Your data stays yours
Your data is handled securely, accessed only by the team assigned to your project, and we are happy to sign your NDA.
Pilot to pipeline
From small pilot sets to ongoing production pipelines.
Pricing
Quoted per project.
Annotation pricing depends on the task, so we quote after seeing a sample of your data.
Request a quoteWhat affects the price
- Volume — number of images, clips or hours
- Complexity — classes, objects per item, precision
- Review depth — single pass or multi-pass QA
- Turnaround and tooling requirements
FAQ
Data annotation questions.
Can you work in our annotation tool?
We can work in your existing platform or our own tools, and export in COCO, YOLO and Pascal VOC formats.
How do you keep labels consistent?
Annotators are trained on your guidelines with a pilot batch first, and reviewers check work throughout production so edge cases are handled the same way every time.
Is our data kept confidential?
Yes. Your data is handled securely, accessed only by the team assigned to your project, and we are happy to sign your NDA.
What is the minimum project size?
The minimum project amount is $100. Tell us your volume — we handle everything from small pilot sets to ongoing production pipelines.
See the quality before you commit.
Send a sample and your guidelines — we will label a pilot batch for you to review.