Who Sells Data (Secludy)
Who's buying data
A sourced comparison of programs that pay companies for their data: what each pays, the data it wants and who qualifies, with quotes as of Oct 14, 2026. It is the best single page for comparing buyers.
Learn · 109 sources
Every card links to the original and names its author. Posts from buyers and our referral partners are labelled. We show the best-rated items first; switch on “everything” for the full set, critics included.
Who Sells Data (Secludy)
A sourced comparison of programs that pay companies for their data: what each pays, the data it wants and who qualifies, with quotes as of Oct 14, 2026. It is the best single page for comparing buyers.
MIT Technology Review
From a buyerA reported feature on the wind-down industry's data-resale arm. One founder netted about $25K for code with more pending for workspace data, and SimpleClosure says 47% of its deals now include code or data. Sunset prices data on headcount, years, volume and tool usage, while lawyers warn the data can be 'legally radioactive'.
Business Insider
An investigation into the operating-company market. Owners get six-figure 'exploding offers' with 48-hour deadlines, and data is priced by volume and anonymized before resale. It quotes sellers, brokers and a law professor who calls employee consent an ethical gray area.
Corey Ganim
A full podcast interview with Polyshares co-founder Ryan Lock on how a data broker finds companies, does diligence, de-identifies records and sells licenses to labs. The description includes a Polyshares referral link, so the host has a commercial interest.
beri.net
Argues that micro1's offer will likely reach a business-unit head before legal does. It notes that the program's public terms name no end buyer or exclusivity and that CRM records may hold customer data you cannot license, and recommends taking inventory and checking rights first.
The Next Web
micro1 plans to spend $1B over 12 months licensing company data, financed by Citi and Hercules Capital. Payouts are tiered at $100K+, $500K+ and $1M+, US firms with 30+ employees are prioritised, and some datasets are synthetically rewritten.
micro1
From a referral partnermicro1's official announcement of $1B for enterprise data over 12 months. It explains that de-identified company data is used to build RL environments reflecting real business operations.
Frankfurt Kurnit Klein & Selz (Technology Law blog)
A law-firm client alert with a practical checklist: confirm you have the right to sell (third-party confidential data, platform API terms, privilege), honour old privacy promises, check employee notices and NLRA issues, and remember that CCPA treats such a transfer as a sale. It recommends excluding high-risk data rather than relying on scrubbing, and tight deal terms.
micro1
micro1 and a referral partner explain to business owners what data licensing involves, which kinds of operational data are valuable, and how anonymization protects what makes a business unique.
Troveo
From a buyerA guide to exclusive versus non-exclusive data licenses. Exclusivity raises the price of one deal but blocks other buyers for the term, and field-of-use carve-outs are a middle path. It is written by a data marketplace.
TIME
An explainer on why Google paid $10M for Spirit's corporate data: RL environments for agents that do white-collar work need real emails and chats. Surge's Nick Heiner frames the purchase as a bet that agents will generalise across the economy.
Hacker News
The largest Hacker News discussion of the trend. Commenters doubt that 100M emails and 30M call recordings can really be de-identified, question the legality, and speculate the data will be used to build simulated airline environments.
The Register
A detailed inventory of what $10M bought from Spirit: over 100M emails, 500M Teams items, 30M recorded calls, plus SharePoint, OneDrive, ServiceNow, Oracle and SAP records. It is a useful reference for what 'company data' means in practice.
Reuters
A wire report that court filings show Google as the winning $10M bidder for Spirit Airlines' business data, with Mercor as backup bidder.
Sequoia Capital
Mercor's CEO explains the three parts of an RL environment: worlds (a real project's messages, docs and files), apps (clones of tools like Salesforce) and tasks with rubric-based graders. It is the clearest explanation of why labs want internal company records.
micro1
The founder of a marketing agency explains why his company joined micro1's data partnership and what he chose to share. It is one of the few on-record seller accounts, though it was published by the buyer.
The Information
The Information reports how micro1 approached the CEO of a Troy, Michigan HVAC company in June to license his firm's data. It is the clearest example of buyers moving past tech startups into ordinary trades businesses at about $150K per deal.
micro1
micro1's CEO walks through the Company Data Partnership Program: which business workflows qualify and how compensation of $100K to $2M+ is set by the scope and value of the data.
Chris Barber
An interview with Sean Cai on which data areas are under-supplied, what the sales process with a lab looks like, and why labs renew or expand purchases. He says good-quality data is rarely turned down for budget reasons.
Forbes
The story that started the trend. cielo24's former CEO sold 13 years of Slack, email, Jira and Drive records through SimpleClosure for 'hundreds of thousands of dollars', and buyers like Surge AI use such data for RL gyms. Privacy experts raise concerns.
Epoch AI (Gradient Updates)
Based on interviews with 18 people across RL-environment startups and labs, this FAQ finds that contracts often run six to seven figures per quarter and individual tasks cost about $200 to $2,000. Enterprise workflows are named as a major growth area.
Surge AI
Surge AI put nine frontier models in a simulated workplace with 150 jobs and found most lacked basic common sense. It shows concretely why labs want realistic company environments.
TechCrunch
The late-2025 explainer on RL environments, including reports that Anthropic leaders discussed spending over $1B on them. This is the demand that later drove company-data purchases.
EPIC (Electronic Privacy Information Center)
EPIC and Prof. Seema Patel's amicus brief arguing the Spirit sale agreement protects consumer data but not employee data, and that de-identification does not prevent inferences about workers.
micro1
From a referral partnermicro1's program page lists eligibility (30+ employees, US first, English), payout tiers ($100K+, $500K+, $1M+), the data it wants (SOPs, CRM, project histories) and sample review before use.
Handshake AI
From a buyerHandshake AI buys operational data across industries, with partnerships from $100K to $4M+ depending on what is shared. Data is de-identified, and use is limited by contract.