BlockUnitData

Human Intelligence for Artificial Intelligence

We help AI companies worldwide collect, classify, evaluate and validate high-quality datasets through trusted human contributors based in Africa.

Enterprise AI data services

End-to-end human intelligence solutions for training, evaluating and validating AI systems at scale.

AI Data Collection

Collect real-world images, videos, audio and documents based on client requirements.

Data Classification

Human classification, categorization and labeling for AI training.

AI Evaluation

Human evaluation of AI-generated responses including comparison, preference ranking and quality assessment.

Data Quality Assurance

Review datasets for accuracy, consistency, completeness and compliance before delivery.

English Language Evaluation

Evaluate English AI responses for grammar, fluency, tone, clarity and factual accuracy.

Building trusted AI data infrastructure

BlockUnitData is building a trusted network of trained university contributors to support global enterprise AI projects with high-quality data services.

  • Human-reviewed workflows
  • Quality-first approach
  • Global client delivery
  • Scalable operations
  • Guideline compliance

Built for enterprise AI teams

Quality First

Every submission is reviewed before delivery.

Global Clients

Built to serve AI teams and enterprises worldwide.

Human Evaluation

Reliable human intelligence for AI systems.

Scalable Network

Contributor network that grows with project demand.

How we deliver

A structured process from requirements to delivery, ensuring quality at every stage.

Client Requirements

Contributor Recruitment

Training & Guidelines

Collection • Classification • Evaluation

Quality Review & Delivery

Become a Contributor

We're building a trusted network of university students and professionals. Join us to contribute to AI data collection, classification and evaluation projects for international clients.

Join the Network

Get in touch

Tell us about your project. We'll respond within one business day.