HUMAN DATA INFRASTRUCTURE

Ground truth
starts with people.

HUMAN INTELLIGENCE
↓
BETTER AI

Qualified multilingual human networks.
Built to create, evaluate and validate
the data behind better AI.

THE HUMAN INFRASTRUCTURE BEHIND BETTER AIExplore capabilities

THE HUMAN DIFFERENCE

Models generate answers.
People establish
what is actually correct.

01 — OUR PURPOSE

AI is only as reliable as the data behind it. We connect language, context and human judgment to the systems that need them.

THE HUMAN DATA LOOP

Intelligence.
With people
in the loop.

Raw data → Human intelligence
Ground truth → Better AI

01

Collect

Raw audio, text or multimodal data.

02

Annotate

Qualified native contributors create and refine labels.

03

Review

Quality systems verify consistency and accuracy.

04

Deliver

QA-approved ground truth enters the AI pipeline.

05

Evaluate

Model performance meets trusted human output.

06

Improve

Failures inform the next generation of high-value data.

↗ Back to collect. Better each time.

OUR CAPABILITIES

Human intelligence.
Across the AI lifecycle.

Explore capabilities

ON THE HORIZON Multimodal dataExpanding capability

THE LANGUAGE NETWORK

Native understanding.
Local context.

Language is more than translation. Accent, dialect, vocabulary and cultural context matter when humans establish ground truth.

Meet the network
es-ESfr-FRde-DEpt-PTes-MXfr-CHde-CHpt-BRes-ARfr-CAde-ATes-CO
DIFFERENT LANGUAGES. SHARED STANDARD.

QUALITY, BY DESIGN

Quality isn’t a final check.
It’s the system.

01Qualification
02Calibration
03Annotation
04Validation
05Human review
06Adjudication
07Accepted data

Contributors qualify before production. Project-specific guidelines establish a common standard.

Automated validation and human review work together. Review intensity can adapt to measured quality.

Ambiguous cases move to language specialists. Accepted data carries the context behind the decision.

FLEXIBLE CAPACITY

Capacity when
the data demands it.

Pre-qualified contributor pools, matched by language, locale, skill and availability. A workforce shaped around the project.

Qualified pool → Project matching → Active contributors → QA delivery

FOR THE PEOPLE BEHIND THE DATA

Help teach AI to
understand people better.

Your language. Your perspective. A place in the loop.

Remote, flexible, project-based opportunities.
No previous AI experience required for many projects.

Apply to the network

Qualification-based access. Applying does not guarantee work or project hours.

BUILD ON HUMAN INTELLIGENCE

Better AI begins with
better ground truth.