Your failed startup is worth more than you think.

Companies are paying for real code, product history and workflows to train AI. What your startup left behind can still be licensed, even after you've closed.

Recent AI data deals

  • $50M/yrNews Corp → MetaUp to, for three yearsWall Street Journal · 2026
  • $20–25M/yrNew York Times → AmazonMulti-year licenceWall Street Journal · 2025
  • $250MNews Corp → OpenAIOver five yearsWall Street Journal · 2024
  • $60M/yrReddit → GoogleTraining and search accessReuters · 2024
  • $203MRedditData-licensing contracts disclosed at its IPOReddit S-1 · 2024
  • $23MWiley → large tech companyOne-off, non-exclusive licenceWiley · 2024
  • $10M+Taylor & Francis → MicrosoftInitial data accessInforma · 2024
  • $104MShutterstockAI licensing revenue in one yearBloomberg · 2023

Reported deals involving large platforms. They show the market is real; they do not set a price for any one archive.

We find companies willing to pay for what your startup left behind, and you set the terms.

How much is your startup's data worth?

Lower range
$48K
to
Upper range
$130K
LowHigh

Based on published rates for expert-produced AI training data.

People who worked there
20 people
11050250+
Years it ran
How this is worked out

Replacement cost: what a lab would pay to commission this work from scratch, discounted because an existing archive is messier than data built to order.

Hours of work behind the archive128,000
Share that leaves a usable record5%
Published rate for expert AI work$75–200/hr
Archive discount applied90%

Assumes 1,600 working hours per person per year.

Illustrative estimate in US dollars. Not an offer, not a valuation, and no sale or payment is guaranteed. Real value depends on what your records contain, who wants them, and what rights you can grant.

Know a startup that closed? Refer it →Earn up to 10% of the deal, capped at $150,000, when a startup you introduce licenses its data. Paid on completed transactions, under written terms.

What you can sell

From the codebase to the Slack history, most of what your startup built can still be licensed.

Get a detailed assessment

Codebases

Source code with its full history: the commits, the reviews, and the bugs that were found and fixed along the way.

Bring your data fromGitHubGitLabBitbucketorUpload a zip
  • Payments API monorepo$180k
    640k LOC6 years history
  • Mobile banking app$95k
    iOS + Androidreview threads
  • B2B SaaS backend$140k
    1.1M LOCtest suite
  • Data pipeline platform$85k
    210k LOC90 jobs
  • Developer tools CLI$45k
    70k LOCissue history
  • ML training stack$120k
    150k LOCexperiment logs

What stays out

× Passwords or credentials× Card or banking details× Identities sold as-is× Access to live systems

Do not send raw records during an assessment. We start with counts and descriptions; data moves only after a deal is agreed.

Startups we're looking for.

Requirements
  • Built and shipped a real product
  • At least a year of real work behind it
  • Records you can still get into, or exports of them
Sectors
B2B SaaSDeveloper toolsFintechHealthtechBiotechMarketplacesEcommerceAI and machine learningHardwareLegal techEdtechClimateConsumer apps

Three steps to getting paid.

  1. 1

    Tell us what's left

    List the tools your startup used and roughly what's in them. You don't upload anything or hand over logins. We'll tell you if it's worth licensing and give you a ballpark figure.

  2. 2

    We sort out the rights and prepare it

    We work out who owns the data now, whether that's the company, its founders, its investors or a liquidator, and get it signed off in writing. Then we replace names and contact details and package it so buyers can see what they'd be paying for.

  3. 3

    You pick an offer and get paid

    We take it to companies, put their offers side by side and push for the best price. Your data doesn't go anywhere until you sign, and you're paid on the terms in that contract.

What we do before a buyer sees it

We swap names, companies and contact details for consistent labels and take out anything sensitive. The work itself stays intact, because that's the part buyers pay for.

Before

An example from a team Slack thread

Priya Shah merged the billing fix for Lumen Health. Send the release notes to priya@lumenhealth.io.

Priya Shah confirmed the patch held in production.

After

The same thread once we've prepared it

Person 07 merged the billing fix for Company 03. Send the release notes to Email 07.

Person 07 confirmed the patch held in production.

Replace identifying details

Priya Shah becomes Person 07 everywhere in the set, so a thread still follows one person. Companies and email addresses get labels too.

Take out sensitive information

Passwords, payment details and anything you've ruled out come out before a buyer sees a single record.

Keep the useful story

The problem, the decision and the outcome stay joined up. That's the part an AI model learns from.

Made-up example. Replacing names is one step, not a guarantee: a record can still point to someone through context, so we review for that as well, and the limits go in the agreement.

Straight answers

You decide exactly what you share.

Nothing is uploaded to start with. These are the things worth checking before you commit to anything.

Our startup has shut down. Can we still sell its data?

Often, yes. What matters is that the records still exist, that someone can still get into them, and that whoever owns the company's assets now agrees. That might be the company itself, its founders, its investors or a liquidator. Working that out is one of the first things we do.

Who gets paid?

Whoever owns the data. Usually that's the company, and the money then goes to its shareholders or creditors under the normal rules. If the company is being wound up, the payment goes through that process. If its assets were sold or handed over when it closed, the new owner is the seller.

How much is it worth?

It depends on what the records contain, how much there is, whether the rights are clear, and what buyers are looking for at the time. The estimator on this page is an illustration built from published rates, not an offer. An assessment gives you a better-informed answer, still not a guaranteed figure.

Do you already have buyers waiting?

Yes. We have buyers already lined up, including several from the AI labs, and we know what they are looking for.

What about our customers' and employees' personal details?

Chats, emails and tickets are full of other people's details. They are replaced with labels before a buyer sees anything, and some records can't be offered at all, for example where customers were promised their data would never be shared. We check that before anything is listed.

Do we have to share everything?

No. You can leave out tools, channels, customers or whole parts of the product. The agreed scope sets exactly which records are offered, and it's fixed before anything moves.

Does replacing names make it anonymous?

Not on its own. A record can still identify someone through context, especially in a small team where everyone knows who did what. Replacing names is one step. The review has to cover identifying context and sensitive fields as well, and the limits belong in the agreement rather than in a promise.

We've already cancelled our tools. Is it too late?

Not always. Many tools keep data for a while after an account closes, and exports or backups often survive. Tell us what you used and roughly when you shut it down, and we'll tell you what's likely still recoverable.

What should we not send you?

Don't send raw records, credentials, API keys or payment details through this website or by email. Start by telling us which tools you used and roughly what's in them. Data moves only after a deal is agreed, and into the environment named in that agreement.