For data buyers

Enterprise data your research, legal and procurement teams can understand.

Source differentiated operational data through direct owner relationships, representative samples and a documented path from provenance to delivery.

Direct owner relationshipRepresentative sampleRights summary

Tell us what you need Review a sample dossier →

Example buyer sampleConnected workflow data

BriefDocument

DecisionConversation

ExecutionProject work

ResolutionSupport

OutcomeCRM

Rights summarySchemaTreatment manifestKnown limitations

Direct provenance

A clear relationship to the enterprise controlling the source data.

Sample before scale

Calibrate the corpus and preparation before a full delivery.

Procurement-ready context

Rights, treatment, limitations and acceptance made visible early.

Example dataset dossier

A package, not a mystery folder.

Before scale, teams should be able to understand what the data represents, where it came from, what changed and whether it fits the intended capability.

Customer issue resolution corpusIllustrative brief

Workflow: Ticket → internal discussion → action → resolution
Source systems: Zendesk, Slack, Jira, CRM
Useful signals: Escalation, reasoning, revision, outcome
Documentation: Rights summary, schema, scope and treatment manifest
Evaluation: Representative sample with agreed acceptance criteria

What matters to buyers

Data you can understand before you commit.

Maryah helps both sides make the important facts visible early, so evaluation and procurement can focus on real fit.

Clear provenance

Who controls the data, where it came from and what the corpus represents.

Defined preparation

What was treated, excluded or transformed, plus what limitations remain.

Agreed use

Purpose, term, controls and evaluation conditions established in writing.

Human coordination

A named Maryah partner keeps enterprise, research and procurement teams aligned.

Representative sample

A smaller package to test usefulness, format, preparation and acceptance criteria in your environment.

Delivery record

Recipients, tranches, access conditions, retention and acceptance recorded for the engagement.

Enterprise data briefs

Start with what the model must learn.

Maryah sources around a capability and the evidence required to teach or evaluate it. These are examples of the briefs our enterprise network can help address.

Issue resolution

Tickets, internal discussion, actions and outcomes for support reasoning and escalation models.

Zendesk · Slack · Jira · CRM

Project delivery

Briefs, revisions, reviews and final work for agents that plan and execute professional workflows.

Drive · Email · Asana · Figma

Commercial decisions

Account context, conversations, proposals and results for sales and customer-success reasoning.

Salesforce · HubSpot · Gmail

Operational judgement

Exceptions, approvals, QA and remediation for models operating inside complex enterprise processes.

ERP · ServiceNow · Internal tools

A useful first brief includesModel capability · domain · preferred sources · language or geography · format · evaluation criteria · target timeline

Send a data brief

How sourcing works

Start with the model capability.

We translate the need into a responsible enterprise data opportunity, then coordinate calibration, evaluation and licensing.

01
Tell us the capability
Describe the model behaviour, domain and evidence your team needs, not merely a file format.
02
Calibrate the brief
We align on useful examples, exclusions, quality signals, rights, formats and acceptance criteria.
03
Evaluate a documented sample
Review a representative package with its provenance, treatment manifest and known limitations.
04
License and deliver
Commercial scope, delivery tranches, recipients, retention and acceptance are agreed before scale.

Straight answers

For research and procurement teams.

Does Maryah operate an open marketplace?

No. We work directly with qualified enterprises and serious buyers through private, scoped conversations.

Can we request a specific data capability?

Yes. Start with the behaviour or task your model needs to learn. Maryah can assess whether suitable enterprise data may exist.

Can we evaluate a sample before committing?

Yes. Maryah uses representative samples to calibrate usefulness, preparation, formats, quality and acceptance criteria before a larger delivery is considered.

What documentation accompanies a package?

The exact package varies, but it can include the source and rights summary, scope record, schema, treatment manifest, exclusions, known limitations, acceptance criteria and delivery record.

How is sensitive enterprise data handled?

Owner-specific requirements are agreed before transfer. Preparation, evaluation recipients, access conditions, retention and deletion obligations are recorded for the engagement.

Can Maryah source to a custom brief?

Yes. Maryah can assess qualified enterprise relationships against a workflow, domain, language, geography, format or model-capability brief.

Start with the need

Tell us what your model needs to learn.

Share the domain, workflow or capability you are targeting. We will respond with a clear view of whether Maryah can help.

Discuss a data request