Data operations
with AI doing the first pass
Deepen AI's trained teams extract, label, enrich, enter and transcribe your data inside your tools, checking and correcting your AI's first pass where you have one.
A plan within 2 working days. No sales call.Moving from Mechanical Turk?
Services
Document data extraction
Fields from invoices, forms and receipts, extracted and checked.
Text data labeling
Text classified and entities tagged, in your categories.
Product data enrichment
Product listings completed and corrected to your catalog rules.
Data entry and cleanup
Records entered, cleaned and moved between systems.
Transcription
Audio and video transcribed, or AI transcripts corrected.
How it works
Your items come in, often with an AI first pass. Trained people check, correct and complete each one by your rules, and clean data goes back where your process expects it.
In your tools
People work in your back office, catalog, CRM or spreadsheets, on accounts you control.
In Ground Truth
As a private workforce on your existing SageMaker Ground Truth labeling jobs.
Through a shared sheet or bucket
Items arrive in a sheet or bucket, and clean 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
Data operations is $5 per person-hour in English, with a trained team, a team lead, QA and a weekly report included. Other languages and specialist work are quoted in your plan, 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
Can people check our AI's output instead of starting from scratch?
Yes, and that's how most data work runs today. Your AI does the first pass, and trained people check, correct and complete it, which is faster than typing everything by hand.
How do you measure accuracy?
With items whose correct values you approve, mixed into the work, and QA sampling of finished items. The weekly report shows the acceptance rate, field by field where it matters.
Can the team change size with our volumes?
Yes. Tell your team lead, and people are added or removed. Your weekly report shows the hours and the output.
Do we need to change our tools?
Usually not. People work in the tools you already use, with accounts you create and control.
How is pricing calculated?
$5 per person-hour for standard work in English, with the team lead, QA sampling and the weekly report included. Every job starts with a two-week pilot on your real items, paid upfront, with two weekly reports. Then you decide.