Questions sellers and buyers ask.

Five things matter most. Volume: how many messages, files, repos, tickets or hours of footage exist. History: how many years the records cover. Headcount: how many people produced the data. Usage: how heavily and how consistently the team used its tools. Scarcity: how hard the data is to find elsewhere.

Linked context adds value. Code with its issues, pull requests and the chat around them is worth more than code alone. Rare languages and specialised domains are worth more than common ones.

We review an inventory of what you hold: systems, date ranges, record counts and headcount. We compare it against what buyers are asking for and what similar data has licensed for. You get a written valuation range before you commit to anything.

TODO: State the fee model (for example, a percentage of proceeds, paid only on a completed sale) and whether valuations are free. There is no dissolution or wind-down package to buy.

It depends on the dataset and on how many buyers are in the process. The stages are: submission, valuation, buyer process, then delivery and payment. We give you an estimated timeline with the valuation.

TODO: Add typical durations for each stage once you are comfortable publishing them.

Payment terms are set in each license agreement. TODO: Describe the standard structure (for example, payment on delivery, or an upfront amount plus a balance on acceptance) and how proceeds flow to the seller.

Usually a short intake call, an inventory of systems, and export access or admin credentials for the export window. We handle packaging, redaction, buyer outreach, negotiation and delivery.

Yes. We work with operating companies, companies winding down, and companies that have already closed. Operating companies often license historical data or a defined slice of it, and keep running as before.

Whoever holds the rights to the company’s assets. That may be the board, the investors, an assignee or a liquidator. We check chain of title before any data goes to a buyer.

It can be either. A non-exclusive license lets the same dataset be licensed to several buyers. An exclusive license goes to one buyer and is priced higher. Scope and term are negotiated per deal. We will tell you which structure we expect to get the best result for your dataset.

Personal information is removed or redacted before delivery. That covers names, email addresses, phone numbers, account identifiers and other direct identifiers, using automated detection with human review. The exact treatment is agreed with the seller and documented for the buyer.

TODO: Confirm the redaction standard and any legal review step that applies.

Licensing company data is legal when the seller holds the rights and personal information is handled correctly. We verify rights, document chain of title and redact personal data. See Trust & compliance for details. This is not legal advice. Sellers should involve their own counsel.