Platforms

Data Marketplace

Data Canvas

AI Data Foundry

OneForma

Data Procurement

AI Localization

Expert Network

Join our Expert Network

Build & Train AI

RL Environments

Data Collection & Creation

RLHF & Preference Optimization

Supervised Fine Tuning

Model Safety & Evaluation

Internationalization

Vertical AI

Physical AI

Healthcare

Vision AI

Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.

Platforms

Data Marketplace

Data Canvas

AI Data Foundry

OneForma

Data Procurement

AI Localization

Expert Network

Join our Expert Network

Build & Train AI

RL Environments

Data Collection & Creation

RLHF & Preference Optimization

Supervised Fine Tuning

Model Safety & Evaluation

Internationalization

Vertical AI

Physical AI

Healthcare

Vision AI

Platforms

Data Marketplace

Data Canvas

AI Data Foundry

OneForma

Data Procurement

AI Localization

Expert Network

Join our Expert Network

Build & Train AI

RL Environments

Data Collection & Creation

RLHF & Preference Optimization

Supervised Fine Tuning

Model Safety & Evaluation

Internationalization

Vertical AI

Physical AI

Healthcare

Vision AI

Platforms

Data Marketplace

Data Canvas

AI Data Foundry

OneForma

Data Procurement

AI Localization

Expert Network

Join our Expert Network

Build & Train AI

RL Environments

Data Collection & Creation

RLHF & Preference Optimization

Supervised Fine Tuning

Model Safety & Evaluation

Internationalization

Vertical AI

Physical AI

Healthcare

Vision AI

Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.

Platforms

Data Marketplace

Data Canvas

AI Data Foundry

OneForma

Data Procurement

AI Localization

Expert Network

Join our Expert Network

Build & Train AI

RL Environments

Data Collection & Creation

RLHF & Preference Optimization

Supervised Fine Tuning

Model Safety & Evaluation

Internationalization

Vertical AI

Physical AI

Healthcare

Vision AI

Platforms

Data Marketplace

Data Canvas

AI Data Foundry

OneForma

Data Procurement

AI Localization

Expert Network

Join our Expert Network

Build & Train AI

RL Environments

Data Collection & Creation

RLHF & Preference Optimization

Supervised Fine Tuning

Model Safety & Evaluation

Internationalization

Vertical AI

Physical AI

Healthcare

Vision AI

Book a Demo

Book a Demo

Enterprise Data

Your enterprise data

Your enterprise data

Your enterprise data

can advance frontier AI

can advance frontier AI

can advance frontier AI

Be part of something bigger. Join Centific's Expert Community to apply your knowledge directly to real-world AI, shaping how systems learn, perform, and evolve responsibly.

Talk to out team

What We License

The data, and the people, that teach AI

Tomorrows AI requires data that's

how businesses actually operate

how businesses actually operate

Frontier labs cannot build enterprise-grade models on public data alone. They need the operational record, how teams decide, escalate, reconcile and recover when something breaks. That record only exists inside companies, and it is worth more than the polished output it produced.

Productivity

Operations

Systems of record

  • How your teams think, decide and communicate.

    Captured from the tools your teams already use every day: the threads, drafts, revisions and meetings where the real reasoning happens before anything is formalized.

    Sources

    Messaging
    Email
    Docs & wikis
    Cloud storage
    Meetings
    Project tracking

    Signal types

    Thread activity and escalation

    Document revision history

    Meeting transcripts

    Task state transitions

    Calendar and scheduling events

  • How your teams think, decide and communicate.

    Captured from the tools your teams already use every day: the threads, drafts, revisions and meetings where the real reasoning happens before anything is formalized.

    Description

    Messaging
    Email
    Docs & wikis
    Cloud storage
    Meetings
    Project tracking

    Description

    Thread activity and escalation

    Document revision history

    Meeting transcripts

    Task state transitions

    Calendar and scheduling events

  • How work is decided, approved and delivered.

    The systems where process is enforced, not just described. Exception paths matter more than happy paths here: the reopened ticket, the rejected approval, the reconciliation that did not balance the first time.

    Sources

    CRM
    Support desk
    ITSM
    ERP & finance
    HR & payroll
    Procurement

    Signal types

    Approval and exception chains

    Stage transitions with reasons

    Escalation and hand-off paths

    Reconciliations and adjustments

    Resolution outcomes

  • How work is decided, approved and delivered.

    The systems where process is enforced, not just described. Exception paths matter more than happy paths here: the reopened ticket, the rejected approval, the reconciliation that did not balance the first time.

    Description

    CRM
    Support desk
    ITSM
    ERP & finance
    HR & payroll
    Procurement

    Description

    Approval and exception chains

    Stage transitions with reasons

    Escalation and hand-off paths

    Reconciliations and adjustments

    Resolution outcomes

  • The structured truth underneath it all.

    Warehouses and contracts as they really are, with the naming drift, inconsistent join keys and negotiated exceptions of a live business, not a modeled demo schema.

    Sources

    Data warehouse
    Databases
    BI
    Contracts & e-signature
    Internal apps

    Signal types

    Schema drift and join keys

    Executed agreements

    Redline and negotiation history

    Query and reporting lineage

    Custom internal data models

  • The structured truth underneath it all.

    Warehouses and contracts as they really are, with the naming drift, inconsistent join keys and negotiated exceptions of a live business, not a modeled demo schema.

    Description

    Data warehouse
    Databases
    BI
    Contracts & e-signature
    Internal apps

    Description

    Schema drift and join keys

    Executed agreements

    Redline and negotiation history

    Query and reporting lineage

    Custom internal data models

Security & Privacy

Built to the standards of enterprise security teams.

Built to the standards of enterprise security teams.

We are not asking for open access to your systems. Every engagement is scoped before anything moves, and the exclusions you set are enforced in the extraction code, not just the agreement.

Scoped access

You define which systems, teams, workflows and time periods are in scope. Nothing outside that list is read.

Abstract image

Credential isolation

Authentication is scoped per engagement and isolated from the rest of our infrastructure. Your data is never commingled with another partner's.

Abstract image

Secure extraction

Read-only, encrypted in transit, with a named and time-bound access roster and a complete audit trail of every object read.

Abstract image

Anonymization and your sign-off

Personal data is detected and removed, with synthetic rewrite where structure has to survive. You review a representative sample before anything is used — no sign-off, no use.

Abstract image

How It Works

From first conversation to payment, our team handles it.

From first conversation to payment, our team handles it.

No engineering work on your side beyond connecting what you have approved. Most partnerships reach a first accepted contribution in six to ten weeks; companies winding down usually move faster, since the approval chain is shorter.

Talk to our team

Thirty minutes to map your systems, your history and who owns the decision. You leave with an estimate of what the dataset is worth. If it is not a fit, we say so.

Connect what is in scope

Read-only access across 188 supported enterprise applications. You choose which ones, and you set the exclusions.

Extraction runs in the background

A single extraction across your selected systems. It requires nothing further from your team once the connections are approved.

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.

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.

Markov

Markov

State complete, with connected enterprise data

State complete, with connected enterprise data

In reinforcement learning, a state is Markov when it contains everything needed to decide what happens next . The future depends on the present state alone, not on the history that produced it. It is the assumption every model of decision-making rests on, and it is where most enterprise data falls short. A ticket without its thread, an approval without the argument behind it, a figure without the reconciliation that produced it. Each leaves an AI system guessing at context it was never given. Your operational history is what supplies it.

P(st+1 | st) = P(st+1 | s1, …, st)

Get in Touch

Tell us what your company runs on.

Two minutes now saves a discovery call. Everything you share is confidential, and nothing is discussed further before a mutual NDA is in place.

Get in Touch

Tell us what your company runs on.

Two minutes now saves a discovery call. Everything you share is confidential, and nothing is discussed further before a mutual NDA is in place.

Systems in use (select any)

By proceeding, you agree to our Terms of Use and Privacy Policy

Start your journey

Become part of Centific’s network

Join Our Expert Network

Create a Profile

Get onboarded

Join projects

Get compensated

FAQ

We help you find answers

to your questions.

Any more questions?

Contact us

Why do AI labs want our data?
icon

Frontier models are increasingly trained to work inside companies — navigating real tools, workflows and decisions. Public and synthetic data cannot replicate that. Your internal record shows how an organization actually operates, which is exactly what labs need to build systems that handle real enterprise tasks.

Why do you also want our people?
icon

Because the record shows what was done, not always why. Contributing a few experts to annotate their own workflows and settle the ambiguous cases raises what the dataset is worth. It is optional, quoted separately from the licence, and they only ever work on data that has already been anonymized and signed off by you.

How is compensation calculated?
icon

By volume, the systems you connect, workflow complexity, data quality and how rare the operations are. Connecting more systems generally means a higher payout, because the records connect to each other and that is where the value compounds. Terms are agreed in writing before anything is extracted, and payment is on acceptance rather than submission.

Are there any costs to us?
icon

No. We cover extraction, anonymization and transfer. There are no upfront costs, setup fees or deductions from your payment.

Who actually sees our raw data?
icon

Extraction and anonymization are automated. No lab and no third party ever sees your raw data. Our engineering team maintains the pipeline but does not manually review your content, and all access is logged against a named, time-bound roster.

Does this disrupt how our teams work?
icon

No. Extraction is read-only and scoped to the workflows you approve. Your teams keep working exactly as they do now — the point is precisely that the data reflects normal operations rather than anything staged.

We are shutting down. Is it too late?
icon

Usually not, but timing matters — once systems are decommissioned and licenses lapse, the record often becomes unrecoverable. Wind-downs go through a faster path with a dedicated asset-purchase agreement, and can frequently license the complete operational history rather than a scoped subset. Flag it in the form and we prioritize the response.