AI data needs a full‑cycle quality management system
Get training data that works the first time. Toloka Quality Loop combines proprietary agentic technology with deep human expertise so every dataset meets your specs before delivery.
Toloka Quality Loop follows ISO 9001:2015, ISO 9000:2015, ISO/IEC 42001, ISO/IEC 23894, ISO/IEC 5259
AI data needs a full‑cycle quality management system
Get training data that works the first time. Toloka Quality Loop combines proprietary agentic technology with deep human expertise so every dataset meets your specs before delivery.
Toloka Quality Loop follows ISO 9001:2015, ISO 9000:2015, ISO/IEC 42001, ISO/IEC 23894, ISO/IEC 5259
Trusted by Leading AI Teams
Five-stage Quality System:
Powered by Agents and Human Experts
Five-stage Quality System: Powered by Agents and Human Experts
1
Calibrate Quality System with Toloka’s proprietary framework
Toloka Quality Agent + Quality Team
Goal:
Establish comprehensive alignment on principles, data integrity, compliance, and model signals using our proprietary frameworkStep Gate:
Quality framework calibration2
Scope with Full Depth of Industry Knowledge
Toloka Delivery Agent + Solutions team
Goal:
Align on objectives, expectations, and quality definitions with measurable success criteriaStep Gate:
Quality SLA approval3
Onboard Experts with Confidence
Toloka Smart Matching Suite + Marketplace Team
Goal:
Define contributor profiles, source qualified domain experts, verify complianceStep Gate:
Compliance check (data handling, profile verification)4
Fine-tune Control
with CopilotToloka Production Copilot + Domain Experts
Goal:
Generate high-quality, authentically human data while maintaining efficiency through real-time guidance and quality controlsStep Gate:
Real-time quality validation and issue resolution5
Evaluate and Improve
Quality and Training Agents (multi‑tool agentic system)+ Senior QA specialists with domain expertise
Goal:
Evaluate content and workflows against agreed criteria with quantitative scoring, enabling personalized retraining based on individual expert performance patternsStep Gate:
Framework compliance validationLessons learned
Continuous improvement loop
1
Calibrate Quality System with Toloka’s proprietary framework
Toloka Quality Agent + Quality Team
Goal:
Establish comprehensive alignment on principles, data integrity, compliance, and model signals using our proprietary frameworkStep Gate:
Quality framework calibration2
Scope with Full Depth of Industry Knowledge
Toloka Delivery Agent + Solutions team
Goal:
Align on objectives, expectations, and quality definitions with measurable success criteriaStep Gate:
Quality SLA approval3
Onboard Experts with Confidence
Toloka Smart Matching Suite + Marketplace Team
Goal:
Define contributor profiles, source qualified domain experts, verify complianceStep Gate:
Compliance check (data handling, profile verification)4
Fine-tune Control
with CopilotToloka Production Copilot + Domain Experts
Goal:
Generate high-quality, authentically human data while maintaining efficiency through real-time guidance and quality controlsStep Gate:
Real-time quality validation and issue resolution5
Evaluate and Improve
Quality and Training Agents (multi‑tool agentic system)+ Senior QA specialists with domain expertise
Goal:
Evaluate content and workflows against agreed criteria with quantitative scoring, enabling personalized retraining based on individual expert performance patternsStep Gate:
Framework compliance validationLessons learned
Continuous improvement loop
1
Calibrate Quality System with Toloka’s proprietary framework
Toloka Quality Agent + Quality Team
Goal:
Establish comprehensive alignment on principles, data integrity, compliance, and model signals using our proprietary frameworkStep Gate:
Quality framework calibration2
Scope with Full Depth of Industry Knowledge
Toloka Delivery Agent + Solutions team
Goal:
Align on objectives, expectations, and quality definitions with measurable success criteriaStep Gate:
Quality SLA approval3
Onboard Experts with Confidence
Toloka Smart Matching Suite + Marketplace Team
Goal:
Define contributor profiles, source qualified domain experts, verify complianceStep Gate:
Compliance check (data handling, profile verification)4
Fine-tune Control
with CopilotToloka Production Copilot + Domain Experts
Goal:
Generate high-quality, authentically human data while maintaining efficiency through real-time guidance and quality controlsStep Gate:
Real-time quality validation and issue resolution5
Evaluate and Improve
Quality and Training Agents (multi‑tool agentic system)+ Senior QA specialists with domain expertise
Goal:
Evaluate content and workflows against agreed criteria with quantitative scoring, enabling personalized retraining based on individual expert performance patternsStep Gate:
Framework compliance validationLessons learned
Continuous improvement loop
1
Calibrate Quality System with Toloka’s proprietary framework
Toloka Quality Agent + Quality Team
Goal:
Establish comprehensive alignment on principles, data integrity, compliance, and model signals using our proprietary frameworkStep Gate:
Quality framework calibration2
Scope with Full Depth of Industry Knowledge
Toloka Delivery Agent + Solutions team
Goal:
Align on objectives, expectations, and quality definitions with measurable success criteriaStep Gate:
Quality SLA approval3
Onboard Experts with Confidence
Toloka Smart Matching Suite + Marketplace Team
Goal:
Define contributor profiles, source qualified domain experts, verify complianceStep Gate:
Compliance check (data handling, profile verification)4
Fine-tune Control
with CopilotToloka Production Copilot + Domain Experts
Goal:
Generate high-quality, authentically human data while maintaining efficiency through real-time guidance and quality controlsStep Gate:
Real-time quality validation and issue resolution5
Evaluate and Improve
Quality and Training Agents (multi‑tool agentic system)+ Senior QA specialists with domain expertise
Goal:
Evaluate content and workflows against agreed criteria with quantitative scoring, enabling personalized retraining based on individual expert performance patternsStep Gate:
Framework compliance validationLessons learned
Continuous improvement loop
1
Calibrate Quality System with Toloka’s proprietary framework
Toloka Quality Agent + Quality Team
Goal:
Establish comprehensive alignment on principles, data integrity, compliance, and model signals using our proprietary frameworkStep Gate:
Quality framework calibration2
Scope with Full Depth of Industry Knowledge
Toloka Delivery Agent + Solutions team
Goal:
Align on objectives, expectations, and quality definitions with measurable success criteriaStep Gate:
Quality SLA approval3
Onboard Experts with Confidence
Toloka Smart Matching Suite + Marketplace Team
Goal:
Define contributor profiles, source qualified domain experts, verify complianceStep Gate:
Compliance check (data handling, profile verification)4
Fine-tune Control
with CopilotToloka Production Copilot + Domain Experts
Goal:
Generate high-quality, authentically human data while maintaining efficiency through real-time guidance and quality controlsStep Gate:
Real-time quality validation and issue resolution5
Evaluate and Improve
Quality and Training Agents (multi‑tool agentic system)+ Senior QA specialists with domain expertise
Goal:
Evaluate content and workflows against agreed criteria with quantitative scoring, enabling personalized retraining based on individual expert performance patternsStep Gate:
Framework compliance validationLessons learned
Continuous improvement loop
1
Calibrate Quality System with Toloka’s proprietary framework
Toloka Quality Agent + Quality Team
Goal:
Establish comprehensive alignment on principles, data integrity, compliance, and model signals using our proprietary frameworkStep Gate:
Quality framework calibration2
Scope with Full Depth of Industry Knowledge
Toloka Delivery Agent + Solutions team
Goal:
Align on objectives, expectations, and quality definitions with measurable success criteriaStep Gate:
Quality SLA approval3
Onboard Experts with Confidence
Toloka Smart Matching Suite + Marketplace Team
Goal:
Define contributor profiles, source qualified domain experts, verify complianceStep Gate:
Compliance check (data handling, profile verification)4
Fine-tune Control
with CopilotToloka Production Copilot + Domain Experts
Goal:
Generate high-quality, authentically human data while maintaining efficiency through real-time guidance and quality controlsStep Gate:
Real-time quality validation and issue resolution5
Evaluate and Improve
Quality and Training Agents (multi‑tool agentic system)+ Senior QA specialists with domain expertise
Goal:
Evaluate content and workflows against agreed criteria with quantitative scoring, enabling personalized retraining based on individual expert performance patternsStep Gate:
Framework compliance validationLessons learned
Continuous improvement loop
1
Calibrate Quality System with Toloka’s proprietary framework
Toloka Quality Agent + Quality Team
Goal:
Establish comprehensive alignment on principles, data integrity, compliance, and model signals using our proprietary frameworkStep Gate:
Quality framework calibration2
Scope with Full Depth of Industry Knowledge
Toloka Delivery Agent + Solutions team
Goal:
Align on objectives, expectations, and quality definitions with measurable success criteriaStep Gate:
Quality SLA approval3
Onboard Experts with Confidence
Toloka Smart Matching Suite + Marketplace Team
Goal:
Define contributor profiles, source qualified domain experts, verify complianceStep Gate:
Compliance check (data handling, profile verification)4
Fine-tune Control
with CopilotToloka Production Copilot + Domain Experts
Goal:
Generate high-quality, authentically human data while maintaining efficiency through real-time guidance and quality controlsStep Gate:
Real-time quality validation and issue resolution5
Evaluate and Improve
Quality and Training Agents (multi‑tool agentic system)+ Senior QA specialists with domain expertise
Goal:
Evaluate content and workflows against agreed criteria with quantitative scoring, enabling personalized retraining based on individual expert performance patternsStep Gate:
Framework compliance validationLessons learned
Continuous improvement loop
1
Calibrate Quality System with Toloka’s proprietary framework
Toloka Quality Agent + Quality Team
Goal:
Establish comprehensive alignment on principles, data integrity, compliance, and model signals using our proprietary frameworkStep Gate:
Quality framework calibration2
Scope with Full Depth of Industry Knowledge
Toloka Delivery Agent + Solutions team
Goal:
Align on objectives, expectations, and quality definitions with measurable success criteriaStep Gate:
Quality SLA approval3
Onboard Experts with Confidence
Toloka Smart Matching Suite + Marketplace Team
Goal:
Define contributor profiles, source qualified domain experts, verify complianceStep Gate:
Compliance check (data handling, profile verification)4
Fine-tune Control
with CopilotToloka Production Copilot + Domain Experts
Goal:
Generate high-quality, authentically human data while maintaining efficiency through real-time guidance and quality controlsStep Gate:
Real-time quality validation and issue resolution5
Evaluate and Improve
Quality and Training Agents (multi‑tool agentic system)+ Senior QA specialists with domain expertise
Goal:
Evaluate content and workflows against agreed criteria with quantitative scoring, enabling personalized retraining based on individual expert performance patternsStep Gate:
Framework compliance validationLessons learned
Continuous improvement loop
Make your quality precisely measurable
We transform subjective requirements into objective metrics.
Example request
When you say "responses should be thorough, but concise," we translate that into concrete targets:
200-400 words
95%+ completeness
<5% off-topic content
Reviewer ratings ≥4/5
Result
Real‑time monitoring and trend visualization of key quality metrics.
Real‑time monitoring and trend visualization of key quality metrics.
Objective, threshold‑based interventions in the data pipeline and task workflow.
Objective, threshold‑based interventions in the data pipeline and task workflow.
Transparent communication across every stage of the project
Transparent communication across every stage of the project
Proactive actions instead of reactive fixes
Proactive actions instead of reactive fixes
A full-lifecycle Quality System
Built‑in quality governance
Pre‑agreed Quality SLAs with measurable acceptance criteria
Live telemetry and real-time monitoring during task creation
Systematic sampling and staged validation
Control mechanisms and monitoring triggers at every pipeline step
Transparent process
Version‑controlled
standards
Version‑controlled standards
Complete evidence chain
for regulatory compliance
Complete evidence chain for regulatory compliance
Visibility into key
quality metrics
Visibility into key quality metrics
Two-pronged error analysis: quantitative tracking plus LLM-driven pattern recognition
Predictable outcomes
65% increase in first pass client acceptance
65% reduction in client escalations
3X faster preparation-to-production timelines
Consistent metrics
across deliveries
Consistent metrics across deliveries
Commercial terms aligned to delivered quality levels
Read the detailed blog post
Quality and ROI at Scale
Faster model development with fully validated data
Faster model development with fully validated data
Predictable budgets without surprise rework: reduced rework and waste through real-time quality assistance
Predictable budgets without surprise rework: reduced rework and waste through real-time quality assistance
Audit confidence with a complete evidence trail
Audit confidence with a complete evidence trail
Scalable quality: consistent delivery of complex, high-quality datasets at scale
Scalable quality: consistent delivery of complex, high-quality datasets at scale
Collaborative environment between trainers and researchers
Collaborative environment between trainers and researchers
What you get with every dataset
What you get
with every dataset
Delivery assurance
Quality SLAs with measurable acceptance floors
Real‑time progress visibility
Staged validation with your team
Documentation
Quality reports with statistical validation results
Comprehensive guidelines and process documentation
Post‑delivery support
Issue resolution with RCA and CAPA
Lessons Learned applied to future projects
Why it matters
For over a decade, Toloka has been the trusted partner powering frontier AI — from reasoning and code to the latest agentic systems.
1. Quality is complex
As AI evolves, "great quality" requires more than clean data — it needs diversity, naturalness, and human nuance
2. 99% quality at speed
Meeting industry standards for agentic work demands fast alignment, clarity, and thoughtfulness at scale
3. Built for what's next
When projects launch with urgency, we deliver the robust data quality approach AI systems need.
Data security and integrity assurance
Client data specifications and requirements remain confidential. Your bespoke data is never used for training external models. Our Copilot technology is fine-tuned to eliminate LLM toxicity and derive pure human-generated data.
Trusted by Leading AI Teams
Ready for data that works
the first time?
Toloka is the quality partner enabling clients to push the boundaries of AI
© 2026 Toloka AI BV
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