Enterprise Data
The most valuable training data in the world exists inside your own company. We want to partner with enterprises to anonymize and license your operational data for AI training by frontier labs. And we’ll pay you for it.
Why Centific
The most valuable training data in the world exists inside your own company. We want to partner with enterprises to anonymize and license your operational data for AI training by frontier labs. And we’ll pay you for it.
OWNERSHIP
You license your data. You never hand it over.
You choose the applications, teams, and time periods included. We enforce your exclusions in the extraction code. You review an anonymized sample before anything is used. Without your approval, the data does not move forward.
VALUE
Connected records are worth more.
A single extraction across your stack keeps the deal, the thread, the approval and the invoice attached to each other. AI labs pay more for data that preserves these relationships because it shows how work gets done across an organization. Connecting more applications can increase the value of your data and the amount you are paid.
YOUR PEOPLE
Your experts earn with you, not without you.
AI companies already pay former employees to reconstruct past work from memory, often without involving their former employers.
ZERO LIFT
No cost, no engineering, no exposure.
We pay for extraction, anonymization, and transfer. There are no setup fees or deductions from your payment. The process is automated. AI labs and third parties never see your raw data, and no manual reviewer reads it during extraction and anonymization.
Industries & Areas of Interest
We license enterprise data across industries and business functions. We are especially interested in records that show how employees make decisions, handle exceptions, and complete work across multiple applications.
Other industries and business functions are welcome. Tell us about yours.
Security & Privacy
How It Works
Most partnerships reach their first accepted contribution within six to ten weeks. Companies winding down can often move faster because they have shorter approval processes.
01
Talk to our team
We review your applications, data, and requirements. If it is not a fit, we say so.
You walk away with
a written estimate of what your dataset is worth.
02
Connect what is in scope
Read-only access across 188 supported enterprise applications. You choose which ones, and you set the exclusions.
You walk away with
a scoped access plan — your exclusions enforced in the extraction code, not just the agreement.
03
Extraction runs in the background
A single extraction across your selected systems. It requires nothing further from your team once the connections are approved.
04
Anonymize and review
Our pipeline removes personal data while preserving the workflow structure. You review a sample pack and sign it off before the dataset goes anywhere.
You walk away with
an anonymized sample pack for your review and sign-off — nothing moves without it.
05
Payment, and an optional refresh
Paid on acceptance rather than submission. Most partners then move to a quarterly refresh, which is where a one-time sale becomes a recurring line.
You walk away with
payment, the complete audit trail of every object read, and a recurring revenue option.

A state is Markov when it contains everything needed to determine what happens next.
A ticket without its thread leaves out the conversation that led to the resolution. An approval without the discussion behind it leaves out why the decision was made. A financial figure without its reconciliation leaves out how the number was produced.
Connected enterprise data preserves that history, giving AI models more of the information behind each decision and outcome.
P(st+1 | st) = P(st+1 | s1, …, st)
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