Qualification before access
Track- and language-specific assessments can be reviewed before mapped project access.
For AI & data teams
Operate the human layer of your AI data workflow.
Adatacore combines contributor qualification, controlled production, layered human review and operational traceability—especially for voice and transcription workflows.
Why Adatacore
We operate the workflow—not just the workforce.
The system connects who can work, what they receive, how output is reviewed and what reaches delivery.
Controlled production
Project-scoped access, task limits and explicit assignment controls.
Layered human QA
L1/L2 and reviewer workflows support corrections, notes and escalation.
Operational visibility
Application, task, quality and support context stays connected.
Protected workflow data
Project media can stay behind authenticated, role-aware access.
Visible decisions
Review outcomes retain context instead of becoming a black box.
Operating model
From scope to reviewed delivery.
Project rules differ, but the operating flow stays clear.
01
Define requirementsData type, language, quality bar and review rules.
Scope02
Qualify contributorsApplications and assessments matched to the work.
People03
Route productionControlled assignments and project-scoped queues.
Work04
Review and correctHuman QA, notes, changes and escalation.
QA05
Deliver with contextStatus and decisions remain tied to the work.
DeliveryProject fit
Bring a real workflow problem.
We prefer accurate scope over generic capability claims.
Good starting points
- Voice acting or speech collection with qualification and QA.
- Multilingual transcription with human correction.
- Language-specific review and task auditing.
- Clearly scoped human evaluation or annotation workflows.
What we will ask
- What workflow are you supporting?
- Which languages or contributor profiles are required?
- How should quality be reviewed?
- What volume, timing and delivery format do you need?
Current platform maturity is strongest in voice, transcription and reviewer operations. Additional workflows are scoped against concrete project requirements.
Bring us the workflow, not just a file.
Share the data type, language, quality bar and project stage.