For AI teams
Human expertise for your training data.
Tell us what your model needs to learn. We put together reviewed people with the right background, starting with a small pilot so you can judge the quality first.
What we can help with
Each project is scoped to your task, and we'll tell you up front if we're not the right fit.
Response evaluation
People compare and rank model outputs against your guidelines, and explain why.
Prompt and response writing
Original prompts and model answers written by people who know the subject.
Domain-expert review
Accuracy checks by people with a background in fields like medicine, life sciences and law.
Code evaluation
Programmers solve problems, review generated code and find where it fails.
Bangla and multilingual data
Writing, review and evaluation by people who work in the language every day.
Adversarial testing
Structured attempts to find where your model gives unsafe or wrong answers.
How we work
Scope
We define the task, skills, volume and what good work looks like, using your guidelines.
Assemble
We select people from our reviewed community and ask each one before they join your project.
Pilot
A small batch comes first. You review it and we adjust before committing to more.
Deliver
We scale what works, and review work against your guidelines as we go.
Common questions
Who would work on our project?
People from the Tabiz community, whose profiles we've reviewed by hand. We select for your task and share relevant background with you once the person has agreed.
How is our data handled?
We agree how your data and work will be handled before anything is shared, and can work under an NDA.
What does it cost?
Pricing depends on the expertise, volume and complexity of the task, so we quote each project once it's scoped. A pilot lets you test the work on a small budget first.
What's the smallest project you take?
Tell us what you have in mind. We'd rather start small and prove the quality than promise too much.
Tell us about your project
We read every inquiry and reply by email. Please don't include confidential data here.
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