Turn your first data asset into cash today

Data licensing for AI labs

Monetize the data
supply only you have

Your company’s data could be worth .

Abstract survey of geological strata marked for appraisal
Fig. 01Raw material, appraised.

01 — The gap

What AI can’t do

Even the best AI systems complete only a small fraction of real expert work end to end. To improve, they need real examples of how people take a task from start to finish.

Your private data

support tickets

Worth more than you think

Public data

image boards

Already scraped and trained on

closes it

bridges
that gap.

02 — What counts

Data is power

Half of what makes data valuable is what people did with it: the steps they took, the calls they made, the checks they ran before anything got signed off. That record already lives in the tools you use every day.

No 00 — Workspaces

Your team’s tools, connected read-only.

Messages, docs, tickets, code, and records. We remove customer names, contact details, and identifying information before anything leaves processing.

Business dataExpertise traces

Up to 6 figures per workspace

01 Abstract illustration of interweaving message threads

Messages

Chats, threads, and channels where your team coordinates work — including the decisions reached and the reasoning behind them.

Listed sources

SlackMicrosoft TeamsGmailOutlook
02 Abstract illustration of layered code history like tree rings

Codebases

Real repositories plus the history behind them: commits, reviews, and issues that explain why the code looks the way it does.

Listed sources

GitHubGitLabBitbucketJira
03 Abstract illustration of an archival stack of documents

Documents

Docs, contracts, reports, slides, and PDFs — the written record of what your organization knows and how it operates.

Listed sources

Google DriveSharePointNotionDocuSign
04 Abstract illustration of raw ore becoming cut crystal

Raw data

Records, tables, logs, and exports from the systems that run the business: pipelines, invoices, ledgers, and orders.

Listed sources

SalesforceHubSpotQuickBooksXero
05 Abstract illustration of a sequential process in geometric blocks

Tasks

Tickets and project work captured end to end: the brief, the steps taken, the back-and-forth, and the finished result.

Listed sources

ZendeskAsanaServiceNow

03 — Who qualifies

Experts we’re looking for
across real workflows

We pay professional rates for the expertise you already use at work. We welcome every vertical and role, and we’re especially looking for the people below.

Don’t see your role? We still want to hear from you.

04 — The process

List, review,
get paid.

  1. 01

    List your assets

    Bring your sources, accounts, and workflows. We help you assess what your data and expertise are worth, step by step.

  2. 02

    We review and package

    We check your supply, strip out identifying details, and package it so buyers can judge quality — which is also how you get a better price.

  3. 03

    Labs buy, you get paid

    Approved listings reach AI labs. When they purchase, the money comes to you. Get paid in as little as 7 days.

Your data stays under your control until a buyer purchases. Buyers only see redacted previews before the sale.

05 — Start here

Value it before
you list it.

Answer a few questions about your company and see an estimated payout range in 60 seconds.

Estimate your assets →

No listing required. The estimate stays private to you.