Volume and flow
How much useful history exists and whether new records continue to be created.
For data owners
Maryah helps established companies assess, prepare and license operational data through a sample-first process with clear handling and commercial terms.

Your team makes defined exports. Maryah does not sit inside your systems.
A representative package comes before any full-corpus decision.
Scope, use, safeguards and economics are documented first.
How value is assessed
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 →How much useful history exists and whether new records continue to be created.
Whether records show decisions, actions, revisions and outcomes, not only isolated files.
How conversations, documents, projects, CRM and outcomes connect across the business.
The expertise, edge cases and real-world judgement represented in the work.
Whether the company can lawfully license the material within a workable risk perimeter.
What may be valuable
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.
Slack · Teams · Google Chat · Zoom
Threads, decisions, hand-offs and the context around how work moves.
Gmail · Outlook · Google Calendar
Business correspondence, attachments, meeting sequences and response patterns.
Drive · OneDrive · SharePoint · Dropbox
Documents, presentations, spreadsheets, reports and reusable templates.
Jira · Linear · Asana · Monday · Notion
Tickets, briefs, project plans, reviews, status changes and resolutions.
Salesforce · HubSpot · Intercom · Zendesk
Opportunities, account activity, support journeys, outcomes and linked notes.
Stripe · QuickBooks · GitHub · Snowflake
Transactions, operating patterns, code, technical documentation and structured data.
The Maryah anonymization standard
Raw data stays inside a controlled processing environment. The prepared package moves only after your written approval.
Defined playbooks and an encrypted upload path without a permanent system connection.
Sensitive people, client and company references are treated inside a controlled processing perimeter.
The sample and treatment manifest make the preparation and residual risk visible before delivery.
Controls agreed for the engagement
Evidence that accompanies the package
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
A named Maryah partner coordinates the commercial, preparation and buyer conversations throughout.
We map your systems, history, workflows, likely rights position and potential buyer relevance.
Scope, permitted use, safeguards, commercial structure and review points are put in writing.
Your team follows a defined export guide. Maryah prepares a small, representative package first.
You inspect the prepared sample and its treatment record before a full corpus or buyer delivery is considered.
Time and effort
The first cycle is designed around defined decisions, not an open-ended technical project. Larger or more complex corpora receive an individual plan.
Systems, history, workflow depth, rights posture and geography.
Across intake, guided exports, list confirmation and one review sitting.
From inventoried export to prepared package, QA and owner review.
Once a package is approved. Contracting can extend the timeline.
Commercial clarity
Maryah uses the same core principle as established specialist licensing programs: one owner mandate, multiple buyer opportunities and clear company payment terms.
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
No. Your team performs defined exports using an agreed guide. Maryah does not require a permanent connection or software installation inside your tools.
We qualify the opportunity, agree the handling perimeter and prepare a representative sample. A full corpus is not the first step.
Review and approval points are defined before preparation begins. The treatment manifest explains what was excluded, replaced or transformed and records known limitations.
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.
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.
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.
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.
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.
No. Rights, geography, sensitivity, quality and intended use are assessed before an opportunity proceeds.
Start with your data
The assessment takes only a few minutes and gives Maryah the context needed for a useful first conversation.