Agent training data
from people who do the tasks
Deepen AI's trained teams do website and app tasks step by step, grade your agent's runs, and write tool-use tasks with verified answers, so your agent learns from work done right.
A plan within 2 working days. No sales call.Testing an agent before release?
How it works
People do each task the right way. Every step is recorded and checked, and the data arrives in the format your training reads.
In your test environments
People work in the sandboxes, browsers and apps you set up, on accounts you control.
With your recording tool
Your capture tool records each step, and people follow your format for actions and notes.
Through a shared sheet or bucket
Tasks arrive in a sheet or bucket, and finished data is written back in your format.
How we keep quality high
Every reviewer's accuracy is measured
Items you've already answered are hidden in the real work, so we know how accurate each person is.
Nobody guesses on unclear cases
The team lead decides, or asks you. Your answer joins the guidelines.
You see the results every week
A weekly report shows work done, QA results and what's improving.
Pricing
Agent training data is quoted in your plan, because the rate depends on how long your tasks are and the expertise they need. Your plan shows the rate, the hours and the total price before you pay anything.
Tell us the task. What your AI produces, and your rules.
Get a plan and a price within 2 working days.
Run a two-week pilot on real items, with two weekly reports. Then decide.
Questions
How is this different from agent evaluation?
Agent evaluation measures how well your agent performs, before and after release. Agent training data is what it learns from: demonstrations, graded runs and tasks with verified answers. Many teams use both.
Which apps and tools can people work in?
The ones your agent will use: web apps, desktop apps, internal tools and APIs, in an environment you give us access to. Tell us yours when you request a plan.
How do you check the data before we get it?
Every task is checked against your definition of done, QA re-checks a sample, and known tasks measure each person's accuracy. The weekly report shows the results.
What format do you deliver in?
The one your training pipeline reads: your schema for steps, screenshots, tool calls, grades and answers, as JSON lines, CSV or files in a bucket.
How is our data used?
Only for your work. Your tasks and data stay under NDA, with accounts you control. Deepen AI holds SOC 2 Type II, ISO 27001, ISO 9001 and TISAX.