Enterprise Data

Turn your enterprise data into a new source of revenue

Turn your enterprise data into a new source of revenue

Turn your enterprise data into a new source of revenue

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

We pay you to apply your enterprise data to training AI

We pay you to apply your enterprise data to training AI

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

Teach AI how businesses actually operate

Tomorrows AI requires data that's

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.

  • Your finance & accounting record

    Show how financial work gets done, including the decisions, approvals, exceptions, and adjustments behind the numbers.

    Relevant data includes close-to-report cycles, sourcing and procurement, payables and receivables, reconciliations, and contract negotiations.

    What the data can show

    Approval and exception chains

    Reconciliations and adjustments

    Redline and negotiation history

    Resolution outcomes

    Calendar and scheduling events

    Sources

    ERP & finance
    Procurement
    Contracts & e-signature
    Data warehouse
    BI
    Email

    Industries

    Any industry using established financial applications and systems of record.

  • Your finance & accounting record

    Show how financial work gets done, including the decisions, approvals, exceptions, and adjustments behind the numbers.

    Relevant data includes close-to-report cycles, sourcing and procurement, payables and receivables, reconciliations, and contract negotiations.

    Description

    Approval and exception chains

    Reconciliations and adjustments

    Redline and negotiation history

    Resolution outcomes

    Calendar and scheduling events

    Description

    ERP & finance
    Procurement
    Contracts & e-signature
    Data warehouse
    BI
    Email

    Industries

    Any industry using established financial applications and systems of record.

  • Your healthcare operations record

    Show how clinical and operational work moves from one step to the next, including the decisions and exceptions behind each record.

    Relevant data includes claims and revenue-cycle work, care coordination, and de-identified clinical documentation.

    What the data can show

    Escalation and hand-off paths

    Stage transitions and their reasons

    Approval and exception chains

    Resolution outcomes

    Sources

    Support desk
    Internal apps
    Databases
    Docs & wikis
    Email

    Industries

    Healthcare & Life Sciences · Pharmaceuticals & Biotech — providers, payers and life-science operators alike.

  • Your healthcare operations record

    Show how clinical and operational work moves from one step to the next, including the decisions and exceptions behind each record.

    Relevant data includes claims and revenue-cycle work, care coordination, and de-identified clinical documentation.

    Description

    Escalation and hand-off paths

    Stage transitions and their reasons

    Approval and exception chains

    Resolution outcomes

    Description

    Support desk
    Internal apps
    Databases
    Docs & wikis
    Email

    Industries

    Healthcare & Life Sciences · Pharmaceuticals & Biotech — providers, payers and life-science operators alike.

  • Your deal record

    Show a deal from opportunity through invoice, including the work performed by every team involved. A connected record can include CRM activity, contract negotiations, project work, financial records, emails, and meetings. These records show how a deal progressed and why decisions were made.

    What the data can show

    Stage transitions and their reasons

    Redline and negotiation history

    Document revision history

    Resolution outcomes

    Sources

    CRM
    Contracts & e-signature
    Project tracking
    ERP & finance
    Email
    Meetings

    Industries

    B2B organizations, including software, professional services, telecom & media, and manufacturing.

  • Your deal record

    Show a deal from opportunity through invoice, including the work performed by every team involved. A connected record can include CRM activity, contract negotiations, project work, financial records, emails, and meetings. These records show how a deal progressed and why decisions were made.

    Description

    Stage transitions and their reasons

    Redline and negotiation history

    Document revision history

    Resolution outcomes

    Description

    CRM
    Contracts & e-signature
    Project tracking
    ERP & finance
    Email
    Meetings

    Industries

    B2B organizations, including software, professional services, telecom & media, and manufacturing.

  • Your people record

    Show how employees are hired, onboarded, and supported.

    Relevant records include the decisions, approvals, exceptions, and documentation involved in applying company policies to individual employees.

    What the data can show

    Approval and exception chains

    Escalation and hand-off paths

    Task state transitionsRedline and negotiation history

    Resolution outcomes

    Sources

    HR & payroll
    Email
    Docs & wikis
    Meetings

    Industries

    Any industry with an established workforce and HR operations.

  • Your people record

    Show how employees are hired, onboarded, and supported.

    Relevant records include the decisions, approvals, exceptions, and documentation involved in applying company policies to individual employees.

    Description

    Approval and exception chains

    Escalation and hand-off paths

    Task state transitionsRedline and negotiation history

    Resolution outcomes

    Description

    HR & payroll
    Email
    Docs & wikis
    Meetings

    Industries

    Any industry with an established workforce and HR operations.

  • Your service record

    Show how incidents are identified, escalated, and resolved.

    Service records can capture reopened tickets, failed changes, escalation paths, and other cases that show how teams respond when work does not follow the expected path.

    What the data can show

    Thread activity and escalation

    Stage transitions and their reasons

    Escalation and hand-off paths

    Resolution outcomes

    Sources

    ITSM
    Support desk
    Messaging
    Internal apps

    Industries

    Any industry, particularly software & technology companies and managed IT environments.

  • Your service record

    Show how incidents are identified, escalated, and resolved.

    Service records can capture reopened tickets, failed changes, escalation paths, and other cases that show how teams respond when work does not follow the expected path.

    Description

    Thread activity and escalation

    Stage transitions and their reasons

    Escalation and hand-off paths

    Resolution outcomes

    Description

    ITSM
    Support desk
    Messaging
    Internal apps

    Industries

    Any industry, particularly software & technology companies and managed IT environments.

Security & Privacy

How It Works

From first conversation to payment,

From first conversation to payment,

our team handles it.

our team handles it.

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.

Why Connected Enterprise Data Is More Valuable

Why Connected Enterprise Data Is More Valuable

Give AI the context behind the next decision

Give AI the context behind the next decision

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)

Get in Touch

Tell us what your company runs on.

If your company is winding down, timing can affect what data remains available. Let us know in the form so we can prioritize your request.

Tell us about your company, the applications you use, and the data you may want to license. We will use the information to assess the opportunity before our first call.

Everything you share is confidential. Nothing moves forward before a mutual NDA is in place.

Get in Touch

Tell us what your company runs on.

If your company is winding down, timing can affect what data remains available. Let us know in the form so we can prioritize your request.

Tell us about your company, the applications you use, and the data you may want to license. We will use the information to assess the opportunity before our first call.

Everything you share is confidential. Nothing moves forward before a mutual NDA is in place.

Systems in use (select any)

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FAQ

We help you find answers

to your questions.

Any more questions?

Why do AI labs want our data?
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Frontier models are increasingly being trained to perform enterprise tasks. Your data shows how employees use applications, make decisions, handle exceptions, and complete work across multiple applications. Public and synthetic data often lack the history behind those actions. Connected enterprise records can show both what happened and the steps that led to the outcome.

Why do you also want our people?
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The record shows what employees did, but it may not explain why they made a particular decision. Your employees can annotate their own anonymized records and clarify ambiguous cases. Participation is optional and priced separately from the data license. Employees work only with data that your company has reviewed and approved.

How is compensation calculated?
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Compensation depends on data volume, the applications connected, the complexity of the work represented, data quality, and the availability of comparable data. Connecting multiple applications can increase the value because it preserves relationships among records. We agree to the terms in writing before extraction begins. Payment is made when the data is accepted.

Are there any costs to us?
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No. Centific pays for extraction, anonymization, and transfer. There are no upfront costs, setup fees, or deductions from your payment.

Who sees our raw data?
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Extraction and anonymization are automated. AI labs and third parties do not see your raw data. Our engineering team maintains the technology used for extraction and anonymization but does not manually review your content. Access is logged and restricted to a named, time-bound roster.

Does the process disrupt our teams?
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No. Extraction is read-only and limited to the applications and work you approve. Your employees continue working normally while the approved data is extracted in the background.

We are shutting down. Is it too late?
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Usually not, but timing is important. Once applications are decommissioned and licenses expire, some operational history may become unavailable. Companies winding down can use a faster process with a dedicated asset-purchase agreement. They may also be able to license their complete operational history rather than a limited subset. Select your company status in the form, and we will prioritize the request.