Human data infrastructure for AI

How NativaData works

We make it simple to get high-quality, consent-based human data for your AI models, designed, collected, validated, and delivered with enterprise-grade trust and compliance.

Request a dataset

Our 4-step process

1

Request

Tell us your needs

Share your use case, data requirements, constraints, and timelines.

2

Design

We plan the right dataset

We design tasks, guidelines, quality controls, and workflows tailored to your goals.

3

Collect

We gather high-quality data

We run scoped collection with built-in validation and monitor quality in real time.

4

Deliver

You get trusted, usable data

We deliver clean, well-documented datasets ready to power your AI models.

Mission design

We collaborate with your team to understand your AI use case and define the right data: task types, languages, regions, formats, and quality targets.

  • Use case workshops
  • Task & schema design
  • Sampling & coverage plan

Collection operations

We manage scoped collection across Latin American markets with clear task instructions and regional coverage.

  • Regional coverage planning
  • Task instructions and controls
  • Operational quality tracking

QA & anonymization

Every dataset goes through multi-layer quality checks and anonymization to protect privacy and ensure safety.

  • Automated & manual validation
  • PII review & redaction
  • Policy & safety compliance

Dataset delivery

Receive your dataset in the format you need, with full documentation and support from our team.

  • Structured, labeled data
  • Comprehensive documentation
  • Secure delivery & support

Ready to build better AI with trusted human data?

Talk to our team about your next dataset.

Enterprise-readySecurity, privacy and compliance built in.
Regional coverageSpanish LatAm data coverage across key markets.