How we work

A process built to de-risk your data.

Clear scope, a low-risk pilot, expert production and a rigorous four-stage QA workflow process — and you are only invoiced for deliverables you approve.

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Watch the intro

Meet Graveiens AI

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

Watch the full Graveiens AI intro →

The workflow

A process from brief to approved delivery

Every engagement follows the same disciplined process — so quality is predictable and nothing is invoiced until you sign off.

Scope & spec

Understand your requirements
Write a clear, shared spec
Agree acceptance criteria
Define languages & volumes

Pilot

Small paid pilot batch
Prove fit on real work
Calibrate to your bar
Near zero-risk to start

Produce

Right experts for the task
Tooling adapted to you
Consent & metadata built in
Managed throughput

Internal QA

Create & internal review
Gold-set benchmarking
Inter-reviewer agreement
Rework loops

Client review

You review against criteria
Transparent metrics
Feedback captured
Fast iteration

Approve & deliver

Rework until it meets the bar
You approve deliverables
Invoiced on approval only
Ready for your models

Ways to engage

Overflow, dedicated or fully managed

Scale a single skill or run a whole managed team — you choose the model, we own the quality.

Overflow capacity

Add specialists into your existing workflow to absorb peaks — one skill, one language or one dataset type.

Dedicated team

A ring-fenced pod trained to your guidelines, scaling up and down as your program needs.

Managed delivery

We run the whole workflow against your spec and hand back approved deliverables — a single point of accountability.

How we work

A measured, low-risk path from sample to scale

Every Graveiens AI engagement follows the same disciplined path, whether it is a single-language voice batch or a multi-modal annotation programme. We start by understanding your model, your ontology and your acceptance criteria, prove quality on a small sample, then scale production behind a four-stage quality workflow — so you always see quality before you commit.

The result is predictable delivery, transparent quality and pricing that only bills for work you approve.

Talk to us about your project

1 · Create

Trained specialists produce data to your guidelines, tooling and ontology.

2 · Internal review

Our reviewers check every batch against guidelines and a gold-standard set.

3 · Client review

You review deliverables and flag anything for correction.

4 · Rework & approve

We rework flagged items; you download approved files and are billed only for those.

Discovery

We align on scope, volume, languages and quality criteria.

Pilot batch

A small sample proves accuracy and turnaround on your real data.

Scale

We ramp capacity while holding the quality bar you approved.

Quality and accountability

ISO-certified processes, pay on approval

Quality is designed in, not inspected at the end. ISO 9001:2017 processes, gold-standard checks and clear guidelines keep the bar consistent as volume grows, while consent and privacy are handled up front. Pay-on-approval delivery means a first project carries almost no risk.

Start a pilot

Why Graveiens AI

Why the process works

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

Quality is measured

Gold sets and agreement scores you can defend, not vague assurances.

Compliance built in

Consent onboarding, PII handling, access controls and audit trails.

Pay on approval

You are invoiced only for deliverables you approve.

Fast to scale

A 700+ expert network across 25+ languages and time zones.

FAQ

Questions, answered

What does a pilot involve?

A small, paid batch scoped to your spec. You review it against your acceptance criteria and only approve what meets the bar — so you can judge quality before committing to a larger program.

How are you paid?

On a pay-for-approved-deliverables basis. Files go through creation, internal review, your review and rework, and we invoice only for approved files.

Can you work in our tools?

Yes — we work in your tooling or adapt ours to your ontology and guidelines.

How do you protect our data?

Consent-based sourcing, PII handling, access controls and audit trails, aligned to your compliance requirements.

How quickly can we start?

Most pilots can be scoped and underway quickly; we draw on an existing expert network rather than hiring from scratch.