About us

Human data services, built on an education legacy.

Graveiens AI grew out of a decade of large-scale educational content work. Today we bring that same discipline — expert people, rigorous QA and a compliance-first mindset — to the data that trains modern AI.

SMEs
2017
Founded
350+
Global clients
700+
Experts & SMEs
25+
Languages
Our story

From learning content to AI data

Graveiens began as an education-outsourcing company, building content, assessments, multimedia and accessibility work at scale for publishers, EdTech companies and institutions. That work demanded exactly what good AI data demands: subject-matter depth, multilingual reach, and quality processes that hold up at volume. Graveiens AI is the natural next step — applying our expert network and QA discipline to data collection, annotation, voice data and model feedback for the AI industry.

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1Scope2Pilot3Produce4QA5Approve
Our approach

Expertise first, tools second

We believe the hardest problems in AI data are human ones — judgment, language, edge cases and consent. So we lead with people: a vetted network of subject-matter experts, linguists and trained specialists, supported by tooling adapted to each client, and wrapped in an ISO 9001:2017 quality workflow.

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98%accuracy after QASchema checksConsistencyGold-set auditHuman review

Our mission

To give AI teams high-quality, responsibly sourced human data — collected, labeled and reviewed by real experts — so their models perform reliably in the real world and across the world's languages.

Our vision

A world where advanced AI is built on data that is accurate, consent-backed and inclusive — where quality and ethics scale together, not in tension.

What makes us different

Not just another data vendor

A combination of things you rarely find in one partner.

Real subject-matter depth

A STEM and domain SME bench inherited from our education business — experts who can judge correctness, not just fluency.

Consent-first by design

Explicit-consent onboarding, metadata tagging and audit trails on every voice and data program.

25+ languages

Deep Indic coverage alongside major Asian and European languages, with native review.

ISO 9001:2017 QA

A four-stage workflow — create, internal review, client review and rework — measured against gold standards.

Pay for approved work

You are invoiced only for deliverables you approve, which makes trying us near zero-risk.

Scales with you

A 700+ expert network you can flex from a single pilot to an ongoing program.

Our people

The expertise behind the work

Graveiens is a network of vetted specialists, organised into teams around the skills our clients need. Rather than a single crowd, you get the right people for the task.

Subject-matter experts

STEM, medical, legal and finance specialists for validation, LLM training and grading.

Linguists & voice specialists

Native speakers across 25+ languages for translation, transcription and voice data.

Annotation & QA teams

Trained annotators and reviewers across image, video, 3D, text and audio.

AI & data engineers

Python, TensorFlow, PyTorch and NLP specialists for pipelines, tooling and fine-tuning.

Delivery & program managers

Single points of accountability who manage scope, quality and turnaround.

Recruitment & compliance

Teams that vet contributors, manage consent and keep data handling compliant.

FAQ

Questions, answered

When was Graveiens founded?
Our education-outsourcing business, GravEiens EduServices, was founded in 2017. Graveiens AI is the group's AI-data services arm, built on that foundation.
Are you certified?
Yes — Graveiens holds ISO 9001:2017 certification, and our four-stage QA workflow is built around it.
How big is your network?
We work with a network of 700+ experts and specialists, including 100+ dedicated AI-line professionals, across 25+ languages.
What makes your data responsibly sourced?
Consent-first onboarding, metadata tagging and audit trails, so every voice and data program can stand up to compliance review.

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Build with a team that takes quality seriously

Send us a sample task. You only pay for deliverables you approve.

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