Compare two data programs

What they do

Prepares company data and licenses it to AI buyers you approve.

Prepares company records at its own cost and licenses them to AI labs.

Organization type

Intermediary

Intermediary

DataDeals Score: Public Program Transparency

92/100

88.5/100

Data types

Internal communications, Customer support, Documents and SOPs, Projects and workflows, Audio, video and images

Internal communications, CRM and sales, Customer support, Software engineering, Documents and SOPs, Projects and workflows, Design and product

Systems named

Slack

Slack, Microsoft Teams, Microsoft 365, Salesforce, Jira, Confluence, GitHub, GitLab, Notion, Linear, Figma

Who qualifies

Any company size, industry or geography if it has historical records and rights to license them

Active, winding-down or closed businesses with years of operating history and authorized rights holder

Company size

No minimum size published

No minimum size published

How you are paid

You are paid when data is first delivered and again each time it is relicensed. SuperAnnotate's own fee or margin is not published.

Turing pays you a share of each sale to an AI lab, so you are paid only when a sale happens. Preparation costs are recovered from later sales rather than invoiced. The revenue split and payout timing are not published.

Seller fees

No seller-side spread, fee percentage or commission transparency.

Preparation charged against later sales, not upfront seller invoice; actual revenue-split fraction private.

Payment timing

Payment on delivery and each relicense; exact calendar remittance frequency not stated.

Payment follows each downstream sale, but no precise payout window or buyer remittance disclosed.

Advertised compensation (not an offer)

$100K to $1M+ indicative

No universal public payout amount

Exclusivity

License: Negotiated per deal

License: Non-exclusive by defaultSelling mandate: Exclusive selling mandate

Permitted AI use

AI labs/enterprise teams receive only approved data uses; seller can block competitors.

AI lab training datasets and derived RL/evaluation product licensing explicitly described.

Privacy

Deidentification to seller's standard, isolated pipelines, audit logs and controls stated.

Mutual NDA before samples, personal-data and secret removal, isolated processing, SOC 2 claim.

Retention and deletion

Approved buyer list, sample review, agreed retention term and deletion on request described.

Opt out after 90 days, but post-license deletion and trained-model survival not public.

Last verified

November 9, 2026

November 9, 2026

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