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.

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Meet Graveiens AI

A quick look at how Graveiens AI partners with teams to deliver human data for AI models.

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

From learning content to AI data

Graveiens AI 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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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 AI 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.

Our approach

From education expertise to human data for AI

Graveiens AI grew out of an established education-services group that has delivered content and learning solutions to publishers and EdTech leaders since 2017. That heritage gives us something most data vendors lack: a deep bench of STEM, medical, legal and finance subject-matter experts who can handle the judgement-heavy work behind modern AI — from expert LLM evaluation to specialist annotation.

Today that expertise powers consent-backed voice data, high-accuracy annotation and human feedback for AI teams worldwide, delivered with enterprise-grade quality and terms designed to de-risk working with us.

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How Graveiens AI compares

How Graveiens AI stacks up against other data annotation and AI data companies on focus, QA and engagement.

ProviderCore focusModalitiesQA / accuracy approachEngagement model
Graveiens AIUsHuman data services — annotation, collection, voice and LLM fine-tuningImage, video, 3D/LiDAR, text, audioFour-stage QA vs a gold standard, ISO 9001:2017Pay-on-approval pilots, managed teams
MacgenceAI training data and multimodal annotationText, image, audio, videoManaged crowd with human QAProject-based managed teams
Cogito TechData annotation and content workforceImage, video, textHuman-in-the-loop QAManaged teams
ShaipHealthcare-focused data and speechAudio, text, imageDomain-expert QAOff-the-shelf datasets plus services
iMeritEnterprise data annotation and data opsImage, video, geospatial, textExpert-in-the-loop QADedicated managed teams
SamaEthical AI data annotationImage, video, sensorSamaAssure QA, impact sourcingManaged workforce
Surge AIRLHF and LLM data labelingText, dialogueExpert human ratersAPI plus managed service
Why Graveiens AI

Why teams choose Graveiens AI

Compliance-first delivery and a pay-on-approval model that de-risks every engagement.

Consent-backed data

Voice and human data collected with explicit consent and an auditable metadata trail.

STEM & expert bench

Subject-matter experts and LLM trainers for the work that needs real judgement.

ISO 9001:2017 certified

A measured, four-stage quality workflow behind every deliverable.

25+ languages

Deep Indic plus major Asian and European coverage.

Pay on approval

You are invoiced only for deliverables you accept.

350+ clients

Trusted across education and AI by leading teams worldwide.

FAQ

Questions, answered

When was Graveiens AI 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 AI 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

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