Pricing

Flexible pricing
that scales with your data.

Every dataset is different, so we price by what your project actually needs. Start small, prove quality, then scale.

Start here

Pilot

Prove quality on your own data before committing to full volume.

Fixed-scope batch

Custom quote for your data

  • A sample of your real data
  • Guidelines & taxonomy set up together
  • Accuracy report and review call
  • A clear quote for full volume

Scale up

Project

Defined datasets labeled to spec, priced by what's delivered.

Per label or task

Custom quote for your data

  • Multi-layer QA on every batch
  • Delivery in your preferred format
  • Progress & accuracy reporting
  • Scale volume up as you go

Long term

Dedicated Team

A trained team working as an extension of yours.

Monthly, per team

Custom quote for your data

  • Annotators trained on your edge cases
  • A dedicated project lead
  • Flexible team size
  • Built for ongoing data pipelines

What shapes your quote

  • Data typeImages, video, text, audio or 3D.
  • ComplexityBoxes, polygons or pixel-level masks.
  • Volume & timelineHow much data, and how fast.
  • Quality targetReview depth and accuracy goals.
FAQ

Questions,
answered.

Everything teams usually ask before starting a labeling project. Can't find your question?

Talk to our team
What types of data do you label?

Images, video, text, audio and 3D point clouds, including LiDAR and sensor-fusion data. We also support generative AI work such as preference ranking, response rating and prompt writing for RLHF and fine-tuning.

How do you make sure labels are accurate?

Quality is built into every stage. We agree on clear guidelines with you up front, train annotators on your edge cases, and run multi-layer QA with consensus review on every batch. You get regular reporting on accuracy and throughput, so there are no surprises.

How do you keep our data secure?

Access is limited to the people working on your project, all of whom are bound by NDA, and your data is never reused for anything else. If you have specific security or compliance requirements, tell us and we'll work within them.

Can we start with a small pilot?

Yes, and we recommend it. A pilot batch lets both teams validate the guidelines, taxonomy and quality targets on real data before scaling to full volume.

How much does data labeling cost?

It depends on the data type, how complex the annotation is, the volume, and your quality targets. Share a sample of your data and your requirements, and we'll come back with a quote.

How long does a project take?

Timelines depend on volume and complexity. After the pilot, we agree on throughput with you and scale the team to hit your delivery dates.

Which tools and output formats do you support?

We can work inside your preferred labeling platform or recommend one, and deliver in the format your pipeline expects, such as COCO, YOLO, Pascal VOC, JSON or CSV.

Can you handle specialized or domain-specific data?

Yes. For projects in areas like healthcare, geospatial or linguistics, we bring in annotators with relevant domain backgrounds and build guidelines around your field's edge cases.

Ready for training data
you can trust?

Tell us about your project and we'll recommend the right workflow, starting with a pilot on your own data.