Data as of Aug 16, 2026 · Based on 3,131,739 AI responses across 10,525 prompts · See how Parse measures this
Toloka provides data solutions for AI agents and LLMs by integrating human expertise with technology to accelerate AI development, covering agentic skills, coding, and AI safety. Its offerings include environment generation (context-rich simulations for evaluating and training agents), specialized training datasets for agentic skills, and evaluation/red-teaming to assess performance and identify vulnerabilities. Toloka Arena is live to let users see how their models rank, and the company serves enterprise teams with conversational agents and corporate assistants.
Tone of voice
52% of how AI describes Toloka reads positive.
Words AI uses
AI reaches for specialized · flexible · high-quality when it describes Toloka.
Rivals
Labelbox is the brand AI weighs against Toloka most.
Sources
toloka.ai shapes more of what AI says about Toloka than any other source, at 46% of its citations.
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The market map
RLHF Data Collection & Training Platforms →Where AI ranks Toloka
Excerpts where Toloka appeared in the AI's answer

Toloka AI provides an automated platform and managed crowdsourcing options with global domain experts to handle pairwise ranking and iterative feedback loops.

Toloka AI : Combines scaled crowdsourcing roots with dedicated expert layers
Excerpts where Toloka appeared in the AI's answer

Toloka: Provides a hybrid crowd-and-expert model suitable for large-scale data generation.
Excerpts where Toloka appeared in the AI's answer

Toloka AI (Mindrift): A strong choice for startups requiring high scalability and multilingual capabilities
Excerpts where Toloka appeared in the AI's answer

Toloka – Flexible marketplace for preference judgments, ranking, and evaluation workflows that fit RLHF pipelines.

Toloka — Large-scale human labeling platform supporting preference ranking, pairwise comparisons, and evaluation workflows for RLHF.
Excerpts where Toloka appeared in the AI's answer

Toloka: Provides an environment for large-scale data annotation for ranking and evaluating LLM outputs.