For data owners

Your business data may be worth more than you think.

Maryah helps established companies assess, prepare and license operational data through a sample-first process with clear handling and commercial terms.

Business partners reviewing an agreement together
Start with a sampleUnderstand the package before considering full scope.
No live connection

Your team makes defined exports. Maryah does not sit inside your systems.

Sample before scale

A representative package comes before any full-corpus decision.

Terms before transfer

Scope, use, safeguards and economics are documented first.

How value is assessed

Useful data has more than volume.

Value comes from connected evidence of how work is actually performed. The assessment gives you a directional first view before any commercial discussion.

Get your data value score →
01

Volume and flow

How much useful history exists and whether new records continue to be created.

02

Workflow richness

Whether records show decisions, actions, revisions and outcomes, not only isolated files.

03

Systems breadth

How conversations, documents, projects, CRM and outcomes connect across the business.

04

Domain specificity

The expertise, edge cases and real-world judgement represented in the work.

05

Rights and deliverability

Whether the company can lawfully license the material within a workable risk perimeter.

What may be valuable

The work inside your systems may be the dataset.

AI teams need real examples of how organisations communicate, decide, execute and improve, not simply isolated files.

These are examples, not a guarantee of suitability or value.

01

Conversations

Slack · Teams · Google Chat · Zoom

Threads, decisions, hand-offs and the context around how work moves.

02

Email & calendar

Gmail · Outlook · Google Calendar

Business correspondence, attachments, meeting sequences and response patterns.

03

Documents & files

Drive · OneDrive · SharePoint · Dropbox

Documents, presentations, spreadsheets, reports and reusable templates.

04

Work & knowledge

Jira · Linear · Asana · Monday · Notion

Tickets, briefs, project plans, reviews, status changes and resolutions.

05

CRM, sales & support

Salesforce · HubSpot · Intercom · Zendesk

Opportunities, account activity, support journeys, outcomes and linked notes.

06

Operational & technical

Stripe · QuickBooks · GitHub · Snowflake

Transactions, operating patterns, code, technical documentation and structured data.

The Maryah anonymization standard

You export.
We de-identify.
You approve.

Raw data stays inside a controlled processing environment. The prepared package moves only after your written approval.

Illustrative raw exportControlled access
Conversation threads2.4 GB
Documents & files6,240
Tickets & outcomes18,912
Maryah standardDetect · replace · reviewProcessing inside a sealed environment
Prepared packageReady for review
FieldTreatmentStatusPerson nameConsistent aliasCheckedClient entityReplacement mapCheckedCredentialsExcludedChecked
  1. 01

    You export

    Defined playbooks and an encrypted upload path without a permanent system connection.

  2. 02

    Maryah prepares

    Sensitive people, client and company references are treated inside a controlled processing perimeter.

  3. 03

    You review

    The sample and treatment manifest make the preparation and residual risk visible before delivery.

Controls agreed for the engagement

  • Access perimeterNamed access, controlled processing and handling boundaries.
  • Buyer conditionsEvaluation terms, approved recipients, permitted use and delivery controls.
  • RetentionAgreed retention, defect disclosure and deletion requirements.

Evidence that accompanies the package

  • Scope recordIncluded systems, exclusions, sensitivity perimeter and intended use.
  • Treatment manifestField-level preparation, exclusions, transformations and known limitations.
  • Delivery recordApproval checkpoint, recipients, access terms and deletion evidence where required.

Plain-language risk statement. De-identification reduces risk; it does not justify claiming that a complex dataset is free of all personal information. Every package documents its treatment, limitations and residual risk.

Your path

From assessment to an informed decision.

A named Maryah partner coordinates the commercial, preparation and buyer conversations throughout.

  1. 01

    Assess the opportunity

    We map your systems, history, workflows, likely rights position and potential buyer relevance.

  2. 02

    Agree the perimeter

    Scope, permitted use, safeguards, commercial structure and review points are put in writing.

  3. 03

    Prepare a sample

    Your team follows a defined export guide. Maryah prepares a small, representative package first.

  4. 04

    Review before scale

    You inspect the prepared sample and its treatment record before a full corpus or buyer delivery is considered.

Time and effort

A serious process that respects your time.

The first cycle is designed around defined decisions, not an open-ended technical project. Larger or more complex corpora receive an individual plan.

15 to 30 minutesInitial assessment

Systems, history, workflow depth, rights posture and geography.

6 to 8 hoursTypical owner effort

Across intake, guided exports, list confirmation and one review sitting.

About 2 weeksRepresentative sample cycle

From inventoried export to prepared package, QA and owner review.

4 to 8 weeksTypical market window

Once a package is approved. Contracting can extend the timeline.

Commercial clarity

Simple economics, written down.

Maryah uses the same core principle as established specialist licensing programs: one owner mandate, multiple buyer opportunities and clear company payment terms.

$100K–$1MTypical company payment range per qualifying licensing event.Exceptional large enterprise corpora can reach up to $5M. Actual terms are scoped per partnership.
You retain ownershipThe agreement grants defined license rights. It does not transfer ownership of the source business data.
Multiple license opportunitiesMaryah may license the approved scope to more than one qualified buyer, subject to the agreed mandate.
Payment timingThe company payment is made on the timeline stated in the agreement after Maryah receives the accepted buyer license fee.
Performance protectionAny exclusivity is defined, time-bound and linked to agreed commercial performance rather than an open-ended lockup.
Receipts are definedThe agreement separates license fees, taxes and any separately scoped professional services so the calculation is clear.
Buyer rights are documentedPermitted AI use, recipients, term, retention and downstream conditions are set in the applicable buyer agreement.
How repeat licensing can compoundIllustrative gross license path
Example only. It is not a valuation, offer or forecast.
First buyer$180K
+
Second buyer$180K
+
Enriched package$120K
+
Continuous feed$30K
=
Illustrative company earnings$510K

This example shows how one approved dataset can create several company payments over time. It is illustrative only. Actual value and terms depend on rights, scope, quality, scarcity, acceptance and buyer demand.

Straight answers

Before you begin.

Does Maryah need live access to our systems?

No. Your team performs defined exports using an agreed guide. Maryah does not require a permanent connection or software installation inside your tools.

What happens before we share a full dataset?

We qualify the opportunity, agree the handling perimeter and prepare a representative sample. A full corpus is not the first step.

Can we review what has been prepared?

Review and approval points are defined before preparation begins. The treatment manifest explains what was excluded, replaced or transformed and records known limitations.

How much work is involved?

The initial cycle is designed to be light for the data owner: an assessment, a working session, a guided export and a sample review. Exact effort depends on the number and complexity of systems.

What determines commercial value?

Buyers typically care about volume, operating history, connected workflows, domain depth, outcome signals, scarcity, quality and the rights available for the intended use. Maryah uses ranges until a real sample and buyer brief exist.

Do we lose control of our source data?

The agreement must distinguish ownership of source data from the specific license rights being granted. Term, permitted use, exclusivity, downstream rights and approval points are addressed explicitly before export.

How much can our company be paid?

Most qualifying companies fall in the $100K to $1M range per licensing event. Exceptional large enterprise corpora can reach up to $5M. These are directional market ranges, not a quote or guarantee. Actual payment depends on the approved scope, rights, quality, scarcity, acceptance and buyer demand.

Can the same data be licensed more than once?

Yes, where the agreement permits it. The owner grants Maryah a defined mandate and Maryah can place the approved data with multiple qualified buyers. Buyer-specific scope and rights are documented for each license.

Is every dataset suitable for licensing?

No. Rights, geography, sensitivity, quality and intended use are assessed before an opportunity proceeds.

Start with your data

Find out whether there is a real opportunity.

The assessment takes only a few minutes and gives Maryah the context needed for a useful first conversation.