For AI labs
The human data you can't source anywhere else
Native speakers, credentialed specialists, verified students — sourced, task-managed and paid in markets other platforms can't operate in. Start with a paid validation batch.
Verified against institutional records. Contributors paid in local currency, usually within a week.
The "Meetro Lab" Operating Model
The "Meetro Lab" Operating Model
The "Meetro Lab" Operating Model
The easy data is gone.
Post-training and evaluation now need credentialed human judgment in specific languages and domains — and the scarcest supply sits in markets the incumbent platforms can neither verify nor legally pay.
Staffing agencies are slow and can't confirm credentials. The large data platforms run on self-reported profiles and payment rails that stop at a handful of countries.
Get Started
The easy data is gone.
Post-training and evaluation now need credentialed human judgment in specific languages and domains — and the scarcest supply sits in markets the incumbent platforms can neither verify nor legally pay.
Staffing agencies are slow and can't confirm credentials. The large data platforms run on self-reported profiles and payment rails that stop at a handful of countries.
Get Started
The easy data is gone.
Post-training and evaluation now need credentialed human judgment in specific languages and domains — and the scarcest supply sits in markets the incumbent platforms can neither verify nor legally pay.
Staffing agencies are slow and can't confirm credentials. The large data platforms run on self-reported profiles and payment rails that stop at a handful of countries.
Get Started
The easy data is gone.
Post-training and evaluation now need credentialed human judgment in specific languages and domains — and the scarcest supply sits in markets the incumbent platforms can neither verify nor legally pay.
Staffing agencies are slow and can't confirm credentials. The large data platforms run on self-reported profiles and payment rails that stop at a handful of countries.
Get Started
The easy data is gone.
Post-training and evaluation now need credentialed human judgment in specific languages and domains — and the scarcest supply sits in markets the incumbent platforms can neither verify nor legally pay.
Staffing agencies are slow and can't confirm credentials. The large data platforms run on self-reported profiles and payment rails that stop at a handful of countries.
Get Started
The easy data is gone.
Post-training and evaluation now need credentialed human judgment in specific languages and domains — and the scarcest supply sits in markets the incumbent platforms can neither verify nor legally pay.
Staffing agencies are slow and can't confirm credentials. The large data platforms run on self-reported profiles and payment rails that stop at a handful of countries.
Get Started
Verified, not self-reported:
We handle the recruitment, vetting, and onboarding of all specialized talent.
We built the payment rails:
We pay contributors legally in markets where most infrastructure simply doesn't operate. That's why the supply exists here and not elsewhere.
Quality history compounds:
Every completed task adds scored performance data to a contributor's profile. Your fifth engagement draws on people with a proven track record on work like yours.
Why we can reach supply others can't
Verified, not self-reported: We handle the recruitment, vetting, and onboarding of all specialized talent.
We built the payment rails:
We pay contributors legally in markets where most infrastructure simply doesn't operate. That's why the supply exists here and not elsewhere.
Quality history compounds:
Every completed task adds scored performance data to a contributor's profile. Your fifth engagement draws on people with a proven track record on work like yours.
Why we can reach supply others can't
How an engagement works
How an engagement works
From Scope to high-quality data delivery in record time.
From Scope to high-quality data delivery in record time.
Scope
Tell us the languages, domains, credentials and volume. We come back with available contributor supply.
Validate
A small paid batch. You assess the output before committing to volume.
Scale
Routed, scored and delivered at volume. Contributors paid within the week.
Verified, not self-reported: We handle the recruitment, vetting, and onboarding of all specialized talent.
We built the payment rails:
We pay contributors legally in markets where most infrastructure simply doesn't operate. That's why the supply exists here and not elsewhere.
Quality history compounds:
Every completed task adds scored performance data to a contributor's profile. Your fifth engagement draws on people with a proven track record on work like yours.
The ask
Native speakers of low-resource African languages, with technical backgrounds, to generate model training data.
Why it went unserved
Staffing agencies couldn't source them. The large data platforms had no payment rails into those markets.
What we did
Sourced from our verified network, routed and scored the tasks, paid every contributor in local currency.
"An AI lab came to us because nobody else could find or pay these people."
KrosAI's CEO
What
we
deliver
Translation and localisation
Low-resource languages, regional dialects, and the pairs most vendors quietly decline.
Annotation and labelling
Domain-specific work by students actually studying the domain — engineering, law, medicine, computer science.
Evaluation and preference data
Human judgment on model outputs from contributors who know the subject well enough to spot what's wrong.
Reasoning and expert traces
Step-by-step problem solving from credentialed specialists, at volume.
What
we
deliver
Translation and localisation
Low-resource languages, regional dialects, and the pairs most vendors quietly decline.
Annotation and labelling
Domain-specific work by students actually studying the domain — engineering, law, medicine, computer science.
Evaluation and preference data
Human judgment on model outputs from contributors who know the subject well enough to spot what's wrong.
Reasoning and expert traces
Step-by-step problem solving from credentialed specialists, at volume.
What
we
deliver
Translation and localisation
Low-resource languages, regional dialects, and the pairs most vendors quietly decline.
Annotation and labelling
Domain-specific work by students actually studying the domain — engineering, law, medicine, computer science.
Evaluation and preference data
Human judgment on model outputs from contributors who know the subject well enough to spot what's wrong.
Reasoning and expert traces
Step-by-step problem solving from credentialed specialists, at volume.
FAQs
How do you verify contributors?
How do you handle quality?
What languages and domains can you cover?
How fast can you start?
What about data handling?
How do you verify contributors?
How do you handle quality?
What languages and domains can you cover?
How fast can you start?
What about data handling?
Tell us what you've been unable to source.
We'll come back with contributor availability and a scoped validation batch.
Tell us what you've been unable to source.
We'll come back with contributor availability and a scoped validation batch.
Scope a validation batch
Why we can reach supply others can't
The ask
Native speakers of low-resource African languages, with technical backgrounds, to generate model training data.
Why it went unserved
Staffing agencies couldn't source them. The large data platforms had no payment rails into those markets.
What we did
Sourced from our verified network, routed and scored the tasks, paid every contributor in local currency.
"An AI lab came to us because nobody else could find or pay these people."
"An AI lab came to us because nobody else could find or pay these people."
KrosAI's CEO
KrosAI's CEO
The ask
Native speakers of low-resource African languages, with technical backgrounds, to generate model training data.
Why it went unserved
Staffing agencies couldn't source them. The large data platforms had no payment rails into those markets.
What we did
Sourced from our verified network, routed and scored the tasks, paid every contributor in local currency.
"An AI lab came to us because nobody else could find or pay these people."
KrosAI's CEO