Toloka is headquartered in Amsterdam, Netherlands, and has built a global platform for producing the human-generated data that modern AI depends on. As foundation models have grown more capable, the frontier of useful training data has shifted from simple image tags to sophisticated, expert-level work: nuanced preference judgments, complex reasoning traces, code review, domain-specific evaluation and multimodal annotation. Toloka specializes in exactly this higher-end data, positioning itself as a data partner for advanced AI development rather than a commodity labeling vendor.
The company combines a worldwide network of vetted contributors and subject-matter experts with a robust platform for designing, running and quality-controlling data projects. This lets AI labs and enterprises commission everything from large-scale annotation and content moderation to RLHF preference data, model evaluation and red-teaming. Quality and expertise are central selling points: many advanced training tasks require contributors who can reason about correctness in specialized domains, not just apply simple labels.
Toloka serves the needs of teams building and aligning large language models and generative systems, supplying the human signal required to make those models more accurate, safe and useful. Its emphasis on expert data and evaluation aligns with the industry's move toward post-training, alignment and rigorous benchmarking as the key levers of model quality.
Toloka has secured significant strategic investment to accelerate its expansion in the AI training-data market, including backing connected to Jeff Bezos and Mikhail Parakhin announced in 2025, reflecting strong demand for high-quality human data from leading AI developers. As an established, Amsterdam-based player with global reach and a focus on expert-grade data, Toloka is one of Europe's most relevant companies in the AI data-engineering category.