People for AI

People for AI offers data labeling and annotation services with an in-house team, focusing on producing high-quality training data for AI projects. The company emphasizes an ethical, human-first approach and aims to turn raw data into a competitive advantage for its clients. It highlights a combination of technical rigor, practical processes, and expert teams to support data-driven workflows.

The service works by allocating dedicated, permanent-labeler teams and project managers who collaborate with clients to define annotation strategy, ensure quality, and scale for complex tasks. It stresses avoiding crowdsourcing to maintain security and consistency, while providing regular metrics and progression updates to maintain transparency.

The main capability is delivering high-quality data across domains such as autonomous driving, microscopy, infrastructure, and food and retail. The in-house approach is complemented by expertise in data labeling strategy and long-term project management to handle complex, long-duration annotation efforts.

Plans and limitations include a focus on in-house annotators, permanent contracts, GDPR compliance, and a capacity to scale while maintaining quality.

Use cases

• Data annotation across industries such as autonomous vehicles, microscopy, OCR and social content moderation.