Production‑grade agent data
Toloka builds environments & RL-gyms, collecting trajectories and graded eval signals to train and evaluate AI agents. Get the data you need without diverting your researchers into data ops
Trusted by Leading AI Teams
What we deliver
Virtual environments
Agent capability evaluation
Agent trajectory data
Agent safety data
Expertise domains
Enterprise systems
Salesforce
Servicenow
Zendesk
Software engineering
Pyton
Javascript
C++
Typescript
Java
Rust
Golang
Quantitative sciences
Mathematics
Physics
Chemistry
Data analysis
Agent types we work for
How it works:
a managed pipeline
built by engineers,
for engineers
Managed, end-to-end data operations
You provide objectives, guidelines, and constraints. We design the environment, run data collection, generation, and annotation at scale, then return versioned datasets, eval reports, and deliverables ready for training.
Automated QA
Signals produced
Senior human review
Task execution
Privacy, security, and reproducibility
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PII scrubbing, policy-compliant use of foundation models, and client-approved data handling.
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Secure, containerized environments and controlled credentials in testbeds.
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Versioned environments, deterministic resets, and audit logs for exact repro.
Partner with Toloka
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Keep your research org focused on model innovation; offload environment engineering, data collection, and QA operations to a team that does this full‑time.
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Faster to first useful dataset; more flexible than hiring for bursty, specialized work.
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Depth in agentic data: instrumented, stateful environments—not just annotation.
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Hybrid QA that blends tool‑enabled checks with senior human judgment, tuned to your rubric.
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A rigorously vetted expert network with measurable quality controls.
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Active R&D posture; we collaborate on novel evals and safety protocols with leading labs.
Learn more about Toloka
Trusted by Leading AI Teams