FileFunding Assess my data

For companies that are active, winding down, or closed

Don't take the first offer for your company's data.

AI labs and data buyers now pay companies for old email, Slack, tickets, docs and screen recordings. FileFunding profiles what you have, flags what could sink a deal, and takes that profile to several kinds of buyer so you can pick the best offer.

Start the 3-minute assessment How it works
  • No raw data shared up front
  • Nothing up front
  • Paid only when a deal closes, always disclosed
$10MGoogle's winning bid for bankrupt Spirit Airlines' data (100M emails, 500M Teams messages); court approval pending
150+dead-startup data deals done through SimpleClosure's Asset Hub
~$40Kone founder's take for his codebase plus Slack, Notion and Figma data (about $15K of it pending)

Source: MIT Technology Review, Oct 13, 2026. Market facts only. FileFunding had no part in these deals.

Free data assessment

What do you have, and who would pay for it?

Start with your domain to pre-fill most of it, then five quick steps. You'll get a data profile scorecard, red flags to fix, and the kinds of buyer that fit. Nothing is sent anywhere until you ask for offers.

Skip most of the typing

We only read public info: DNS, the website, the web archive, domain records and GitHub. Nothing is saved until you ask for offers.

Step 1 of 5

Company basics

Company status

Size and history

People who used your systems (current + former)

Years of records you still have

Systems with history in them

Tick everything that still holds records.

Rough volumes

Best guesses are fine. Only the systems you ticked are shown.

You didn't tick any systems. Go back a step, or continue and we'll treat volume as unknown.

Sensitivity and permissions

How much personal data about customers is in there?

Regulated data mixed in?

Clients' confidential material (under NDA or contract)?

How was (or would) your Slack data be exported?

HR or employee records mixed into these systems?

Did your privacy policy and employee notices allow this kind of use?

Records about people in the EU or California?

How it works

A quote process, not a cold sale.

  1. 01

    Profile, not data

    You answer questions about systems, volumes and sensitivity. Nobody sees raw records at this stage.

  2. 02

    Fix the deal-killers

    We flag client-confidential content, Slack export issues, privacy-notice gaps and regulated data early, so they don't kill the deal late.

  3. 03

    Several buyers, one profile

    With your approval, the anonymized profile goes to buyers across types: direct programs, marketplaces, brokers, and defunct-asset buyers.

  4. 04

    You pick

    Compare price, timeline, exclusivity and what each buyer wants delivered. Sign directly with the one you choose, or with none.

How we get paid

FileFunding doesn't buy your data. We're the transparent middleman: we compare offers for you and handle the hassle. There's nothing to pay up front. We take a cut only when a deal closes, and how much is disclosed in writing before you sign. We'll tell you exactly which buyers we work with.

Market research

The four kinds of buyer

What each wants, and what they've published about price and timing. Ranges are indicative, not offers.

FAQ

Straight answers

Do I have to send you any data?

No. The assessment and the buyer profile use your answers only. Raw data moves only after you've chosen a buyer and signed with them, under their diligence and de-identification process.

Why compare instead of selling to the first buyer who asks?

Published price ranges for similar data run from five figures to seven, and terms differ (full-corpus license vs. outright purchase, payment timing, what's excluded). One buyer's number tells you little about the market.

What usually can't be sold?

Anything that isn't yours to license: clients' NDA'd material, licensed third-party content, and often data pulled through Slack's API, whose terms ban using API data to train LLMs. HR records are usually excluded, and personal data needs de-identification or consent.

We're shutting down. Is it too late?

Not necessarily. Some buyers specialize in defunct companies' data. Confirm who has authority to sign (founders, board, trustee or assignee) and that the accounts still exist before they're deleted.

How long does it take?

It depends on the buyer. Published examples: payment 2–4 weeks after signing at one direct program, an offer in 1–2 weeks with net 30–60 payment at a broker, or about 2–3 months from signing at another. Cleanup can add time.

Is the range on my scorecard an offer?

No. It's an indicative estimate from a simple formula anchored to ranges buyers and directories have published. Only a buyer can make an offer.

Is this legal advice?

No. The red flags summarize issues lawyers have raised publicly. Have your own counsel review any license before you sign.

How the scorecard is calculated

Data value (0–100): headcount (up to 35) + years of records (up to 20) + systems weighted by what buyers ask for most (up to 30; screen recordings, tickets, SOPs, CRM and chat weigh most) + volume (up to 10) + industry demand (up to 5; logistics, distribution, construction, engineering and accounting are named as strongest demand).

Deal readiness (0–100): starts at 100 and drops for each red flag: client-confidential content, Slack data pulled via API, HIPAA or financial data, heavy consumer PII, privacy notices that didn't cover this use, EU/California individuals, HR records mixed in, and being below buyers' usual 20+ staff / 3+ years.

Indicative range: a base band by headcount (20–49 people starts at $200K–$500K, the range one buyer's affiliate FAQ cites for that size; other bands are interpolated within published ranges of $10K to $2M+), times multipliers for years, systems breadth, volume and industry. Low readiness pulls the bottom of the range down.

Sources