Toloka provides expertly curated training and evaluation data for AI agents, LLMs, VLMs, and coding models, combining a managed human expert network with technology-driven quality control. Services include agent trajectory and RL-environment data, LLM/VLM fine-tuning datasets, AI safety red-teaming, creative AI data, and Physical AI/egocentric robotics data collection. The company also offers Toloka Arena, a benchmarking product to evaluate and rank AI models against hidden test sets.
What it's for
Features 18
- Agent trajectory demonstrations and step-by-step evaluations
- Automated quality control methods (50+)
- Computer-use testbeds
- Custom evaluation frameworks (e.g., pairwise comparison)
- Domain-specific demonstrations and preference data
- Egocentric and exocentric Physical AI data capture
- Expert-captured workflows from real teams and tooling
- Full repository structures and rapid prototyping data
- Hidden, private benchmark test sets (Toloka Arena)
- Multi-format creative content collection (text, image, video, audio)
- Open-source HomER egocentric robotics dataset
- Platform-level antifraud methods (60+)
- Production-ready code generation examples
- Professional annotation and quality filtering
- Reinforcement learning tasks with built-in verification
- Safety red-teaming for injection vulnerabilities and policy compliance
- Step-by-step reasoning chains for complex problem-solving
- Virtual environments and RL-gyms with MCP replicas
At a glance
Complianceself-reported
Resources
Pricing
All pricing is quote-based; the pricing page lists four evaluation/data tiers (Closed automatic evaluation, Human-in-the-loop, Off-the-shelf datasets, Bespoke RL-gyms) but no numeric prices are shown — buyers must contact sales for a quote.
Pricing not publicly listed; requires contacting sales.
Pricing not publicly listed; requires contacting sales.
Pricing not publicly listed; licensing of pre-built RL gyms, via catalog/contact.
Custom/enterprise offering; pricing not publicly listed, requires contacting sales.
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