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Toloka

Full company profile

uuid00006zq

Namestring
Toloka
Legal namestring
Toloka AI BV
Websiteurl
toloka.ai
Company typeenum
Private
Founded yearint
2014
Descriptiontext

Toloka is a Netherlands-headquartered AI training data platform founded in 2014 by Olga Megorskaya, operating as a subsidiary of Nebius Group N.V. The company combines proprietary agentic technology with a vetted global network of 6,000+ human contributors spanning 100+ countries, 40+ languages, and 90+ domains to produce AI training, evaluation, and quality-assurance data for frontier AI labs and large technology companies. Its core technology stack — the Toloka Quality Loop — deploys five stages of AI-augmented quality management including BILT calibration, expert matching, real-time Production Copilot guidance, and an LLM-based QA system achieving 89.1% failure-detection accuracy, backed by ISO 27001/27701, SOC 2, GDPR, CCPA, HIPAA, and ISO 9001/42001/23894/5259 certifications. Toloka also operates Toloka Arena, an independent evaluation platform for agentic AI using private, non-contaminated RL Gym-style benchmarks with deterministic database-state-hash grading.

Short descriptiontext

Toloka is a Netherlands-based AI training data platform combining a vetted global network of 6,000+ expert contributors with proprietary agentic quality systems to produce training, evaluation, and benchmarking data for frontier AI labs and major technology companies including Anthropic, Amazon, Microsoft, and Shopify.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
251–500
akta.pro rankint
HeadquartersLuzern, Switzerland
HQ citystring
Luzern
HQ countrystring
Switzerland
HQ regionstring
Europe
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
AI training data, data annotation platform, RLHF data solutions, AI agent evaluation, human-in-the-loop data
Industry2 codes
1Generative AI & LLM Solutions Services (RAG, Agents, Copilots)
CodeBPAEAHAGPrimaryYes
2LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG)
CodeHDAEANADPrimaryNo
NAICS code1 code
  • Computer Systems Design and Related Services54151
SIC code1 code
  • Services-Computer Programming, Data Processing, Etc.7370
Product category
AI Training Data Services
Social media profiles2 records
GTM motion3 records

Each record includes

Type, Description, Source

Revenue model4 records
1Managed Service Data Business
TypeManaged Services
Description

Full-service data annotation and collection for enterprise partners requiring custom pipelines, dedicated project management, and domain expert matching. Revenue generated through project-based contracts with defined quality SLAs.

pulse2.com
2Self-Service Data Annotation Platform
TypeUsage Based
Description

SaaS platform enabling researchers and ML teams to configure, launch, and manage annotation projects independently. Pay-per-task model with transparent pricing, no minimums or long-term contracts. Users pay only for work that passes QA.

toloka.ai
3Tendem Hybrid Agent Platform
TypeSubscription Recurring
Description

Subscription or per-task model for professionals delegating work to hybrid AI-human teams. The platform manages full workflows from request to verified delivery, handling market research, writing, analysis, and content creation.

toloka.ai
4Benchmark/RL Gym Licensing
TypeLicensing Royalties
Description

Toloka Arena benchmarks and RL Gym datasets are available for purchase, allowing AI labs to license evaluation data for training and testing their own models.

toloka.ai
Marketing channels6 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels3 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Operations, Technology or R&D, Marketing or Sales, Supply Chain
Pricing details4 tiers
1Domain Experts tier for specialized tasks
ModelUsage-basedBilling cadencePay-as-you-go
Notes

Credentialed specialists in medicine, law, finance for tasks requiring real subject-matter knowledge. Higher cost than general annotators due to specialized expertise.

toloka.ai
2General Annotators tier for scalable tasks
ModelUsage-basedBilling cadencePay-as-you-go
Notes

Trained generalists for consistent and scalable labeling. Used for text generation, image/video classification, preference labeling. Results typically within 24-48 hours.

toloka.ai
3Global Crowd tier for high-volume tasks
ModelUsage-basedBilling cadencePay-as-you-go
Notes

High-volume, geographically distributed workforce for data collection and simple annotation. Maximizes speed and scale at lowest cost.

toloka.ai
4AI Tutors / RLHF-trained annotators
ModelUsage-basedBilling cadencePay-as-you-go
Notes

RLHF-trained annotators for preference labeling and instruction tuning on complex reasoning and domain-specific tasks.

toloka.ai
GTM typeB2B and B2C
B2B and B2C
Offering typeSoftware
Software
Brand1 of 3 records shown
1Tendem
Description

Hybrid AI agent platform combining AI orchestration with vetted human experts for professional task delegation including market research, writing, analysis, and content creation.

toloka.ai
+2 more records
Core offering1 text field

Toloka is an AI training data platform that combines a vetted global network of human experts with proprietary AI automation to produce, evaluate, and quality-assure training data for AI agents, LLMs, and VLMs. Its core offerings include a self-service data annotation platform (Toloka Platform), managed enterprise data services, the Tendem hybrid AI-human agent platform for professionals, and the Toloka Arena private benchmarking platform for agentic AI evaluation.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 7 values shown
  • 89.1% accuracy in catching QA failures automatically before reaching pipeline
+6 more records
Product overview1 text field

Toloka is an AI training data platform offering a portfolio of products centered on human-AI collaboration for AI development. The core offering is the Toloka Platform (self-service data annotation) complemented by Tendem (hybrid AI agent for prosumer markets) and Toloka Arena (agent evaluation benchmarking). The company provides specialized training datasets for AI agents, LLMs/VLMs, coding assistants, and creative AI, along with proprietary benchmarks including VOX-DUB (AI dubbing), JEEM (Arabic dialects), and U-MATH (university math). A five-stage Quality Loop system ensures data quality through proprietary agentic technology and human expertise. The expert network spans 6000+ contributors in 90+ domains.

Product and service10 records
1Toloka Platform
CategoryData Annotation Platform
Description

Self-service SaaS platform enabling researchers and ML teams to configure, launch, and manage data collection and annotation projects independently without operational overhead. Features AI-assisted project builder, LLM-based quality assurance (89.1% failure detection accuracy), instant expert matching across 90+ domains, multi-stage pipeline support, and pay-as-you-go pricing with no minimum commitments.

2Tendem
CategoryHybrid AI Agent Platform
Description

Hybrid AI agent platform combining AI orchestration with vetted human experts for professional task delegation. Enables professionals to delegate market research, writing, analysis, content creation, and consulting tasks with verified quality. Delivers 1.8x higher quality than AI-only tools and 2.1x faster delivery than freelance platforms. Accessible via self-serve early access at tendem.ai.

3Toloka Arena
CategoryAI Agent Evaluation Platform
Description

Independent evaluation platform for agentic intelligence providing private benchmarking of frontier AI models on RL Gym-style enterprise workflows. Tests multi-step, multi-tool agent capabilities using deterministic grading (database state hash comparison) across manufacturing, airlines, logistics, banking, food services, and other domains. Includes public leaderboard showcasing model evaluation results.

4AI Agent Training & Evaluation Data
CategoryManaged Data Service
Description

Managed data service providing training and evaluation data solutions for AI agents, including agent trajectory demonstrations, step-by-step evaluations, virtual environments with MCP replicas, safety red-teaming, and expert-captured workflows. Targets frontier AI labs building agentic systems.

5Advanced LLM & VLM Datasets
CategoryManaged Data Service
Description

Managed data service providing domain-specific demonstration and preference data for large language and vision-language models. Includes reinforcement learning tasks with built-in verification, step-by-step reasoning chains for complex problem-solving, and multilingual content for foundation model training.

6Programming Data for AI Coding Assistants
CategoryManaged Data Service
Description

Managed data service providing training data for AI coding assistants and software engineering workflows, including production-ready code generation examples, repository structures, issue resolution data, code review demonstrations, and rapid prototyping datasets.

7VOX-DUB Benchmark
CategoryBenchmark Product
Description

First open human-evaluated benchmark for AI dubbing systems using pairwise A/B testing with native speakers. Rates systems on pronunciation, naturalness, audio quality, emotional accuracy, and voice similarity across multilingual content.

8JEEM Benchmark
CategoryBenchmark Product
Description

Benchmark for evaluating multimodal models in low-resource Arabic dialects including Jordanian, Egyptian, Emirati, and Moroccan. Covers image captioning and visual question-answering tasks in four regional dialects. Developed in partnership with MBZUAI.

9U-MATH Benchmark
CategoryBenchmark Product
Description

Largest multimodal benchmark for university-level math problems with 1,000+ complex prompts and 20% visual reasoning component. Developed in partnership with Gradarius for evaluating LLM capabilities in academic mathematics.

10Toloka Expert Network
CategoryManaged Expert Service
Description

Vetted global network service providing 6,000+ active contributors across 90+ domains with 70%+ holding advanced degrees. Spans 100+ countries and 40+ languages. Provides credentialed experts in medicine, law, finance, and other specialized fields for complex annotation, evaluation, and data production tasks.

Scale indicator7 records

Each record includes

Type, Value, Description, Source

Partnership4 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-06-11
Description

Toloka participates in the BigCode project with HuggingFace and ServiceNow, contributing to open-source code AI development.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-06-11
Description

Toloka collaborates with ServiceNow on the BigCode project for AI code generation research.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-04-14
Description

Partnership to create JEEM benchmark for evaluating AI models in low-resource Arabic dialects. MBZUAI provided expertise in Arabic multimodal models, Toloka contributed data annotation capabilities. Benchmark covers Jordanian, Egyptian, Emirati, and Moroccan dialects.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2024-12-05
Description

Partnership with educational math platform to launch U-MATH benchmark for evaluating LLMs on university-level math problems. Combined Toloka's data annotation capabilities with Gradarius's Math Engine for comprehensive multimodal evaluation.

Recent move7 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Scale AI is the most direct competitor to Toloka, offering RLHF, data annotation, and evaluation services for foundation models. Both serve frontier AI labs with high-quality human-labeled training data and operate globally distributed expert workforces.

TypeDirect peer
Description

Surge AI specializes in RLHF and preference data for foundation model alignment, directly competing with Toloka's domain expert network and serving similar AI lab customers with human feedback pipelines.

TypeDirect peer
Description

Appen is a global data annotation company providing training data for AI/ML models, comparable to Toloka's managed services and crowd-based annotation offerings across multiple data modalities.

TypeDirect peer
Description

Labelbox provides a data labeling platform with human-in-the-loop annotation capabilities, comparable to Toloka's self-service Platform offering for ML teams needing configurable annotation pipelines.

TypeEmerging player
Description

Snorkel AI focuses on data-centric AI with programmatic labeling and weak supervision. It overlaps with Toloka's data production services but emphasizes automated labeling over human annotation.

TypeDirect peer
Description

Defined.ai provides training data and evaluation datasets for AI systems, competing with Toloka across speech, NLP, and computer vision annotation with similar enterprise sales motion.

TypeDirect peer
Description

SuperAnnotate offers an AI data annotation platform with managed services for ML teams, comparable to Toloka's hybrid model of self-service tools combined with expert annotation workforce.

TypeDirect peer
Description

Sama provides high-quality data annotation and validation for AI applications, serving enterprise customers with curated workforces similar to Toloka's expert network approach.

TypeDirect peer
Description

CloudFactory offers managed data annotation with a distributed workforce, comparable to Toloka's managed services offering for enterprises needing scalable human-in-the-loop data production.

TypeEmerging player
Description

Roboflow specializes in computer vision data preparation and annotation, overlapping with Toloka's image and video annotation capabilities for ML teams building vision models.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers6 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment5 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile5 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability13 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature6 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles4 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

Subsidiaries1 record

Each record includes

Name, Acquired on, Relationship type, Type, Business focus

Compliance8 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds1 record

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors1 record

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Toloka

AI Training Data Servicestoloka.ai

Toloka is a Netherlands-based AI training data platform combining a vetted global network of 6,000+ expert contributors with proprietary agentic quality systems to produce training, evaluation, and benchmarking data for frontier AI labs and major technology companies including Anthropic, Amazon, Microsoft, and Shopify.

What Toloka does

Toloka is a Netherlands-headquartered AI training data platform founded in 2014 by Olga Megorskaya, operating as a subsidiary of Nebius Group N.V. The company combines proprietary agentic technology with a vetted global network of 6,000+ human contributors spanning 100+ countries, 40+ languages, and 90+ domains to produce AI training, evaluation, and quality-assurance data for frontier AI labs and large technology companies. Its core technology stack — the Toloka Quality Loop — deploys five stages of AI-augmented quality management including BILT calibration, expert matching, real-time Production Copilot guidance, and an LLM-based QA system achieving 89.1% failure-detection accuracy, backed by ISO 27001/27701, SOC 2, GDPR, CCPA, HIPAA, and ISO 9001/42001/23894/5259 certifications. Toloka also operates Toloka Arena, an independent evaluation platform for agentic AI using private, non-contaminated RL Gym-style benchmarks with deterministic database-state-hash grading.

Toloka firmographics

Firmographics
Name
Toloka
Legal name
Toloka AI BV
Website
https://toloka.ai
Company type
Private
Founded year
2014
Operating status
Operating
Headcount range
251–500 employees
Short description
Toloka is a Netherlands-based AI training data platform combining a vetted global network of 6,000+ expert contributors with proprietary agentic quality systems to produce training, evaluation, and benchmarking data for frontier AI labs and major technology companies including Anthropic, Amazon, Microsoft, and Shopify.
Ownership category
akta.pro rank

Toloka industry classification

Industry
Product category
AI Training Data Services
NAICS
Computer Systems Design and Related Services (54151)
SIC
Services-Computer Programming, Data Processing, Etc. (7370)
akta.pro primary industry
Generative AI & LLM Solutions Services (RAG, Agents, Copilots) (BPAEAHAG)
akta.pro secondary industry
LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG) (HDAEANAD)

Keywords

  • AI training data
  • Data annotation platform
  • RLHF data solutions
  • AI agent evaluation
  • Human-in-the-loop data

Where Toloka is headquartered

Location

Headquarters

HQ city
Luzern
HQ country
Switzerland
HQ region
Europe

Offices1 record

Markets served

Toloka business model

Business model
GTM type
B2B and B2C
Offering type
Software
Cost components
Personnel, Operations, Technology or R&D, Marketing or Sales, Supply Chain

Revenue model

  1. Managed Service Data Business: Full-service data annotation and collection for enterprise partners requiring custom pipelines, dedicated project management, and domain expert matching. Revenue generated through project-based contracts with defined quality SLAs.
  2. Self-Service Data Annotation Platform: SaaS platform enabling researchers and ML teams to configure, launch, and manage annotation projects independently. Pay-per-task model with transparent pricing, no minimums or long-term contracts. Users pay only for work that passes QA.
  3. Tendem Hybrid Agent Platform: Subscription or per-task model for professionals delegating work to hybrid AI-human teams. The platform manages full workflows from request to verified delivery, handling market research, writing, analysis, and content creation.
  4. Benchmark/RL Gym Licensing: Toloka Arena benchmarks and RL Gym datasets are available for purchase, allowing AI labs to license evaluation data for training and testing their own models.

Pricing tiers

ModelBillingPrice
Usage-basedPay-as-you-goDomain Experts tier for specialized tasks
Usage-basedPay-as-you-goGeneral Annotators tier for scalable tasks
Usage-basedPay-as-you-goGlobal Crowd tier for high-volume tasks
Usage-basedPay-as-you-goAI Tutors / RLHF-trained annotators

Go-to-market motion3 records

Distribution channels3 records

Marketing channels6 records

Toloka product offering

Product offering

Core offering

Toloka is an AI training data platform that combines a vetted global network of human experts with proprietary AI automation to produce, evaluate, and quality-assure training data for AI agents, LLMs, and VLMs. Its core offerings include a self-service data annotation platform (Toloka Platform), managed enterprise data services, the Tendem hybrid AI-human agent platform for professionals, and the Toloka Arena private benchmarking platform for agentic AI evaluation.

Product overview

Toloka is an AI training data platform offering a portfolio of products centered on human-AI collaboration for AI development. The core offering is the Toloka Platform (self-service data annotation) complemented by Tendem (hybrid AI agent for prosumer markets) and Toloka Arena (agent evaluation benchmarking). The company provides specialized training datasets for AI agents, LLMs/VLMs, coding assistants, and creative AI, along with proprietary benchmarks including VOX-DUB (AI dubbing), JEEM (Arabic dialects), and U-MATH (university math). A five-stage Quality Loop system ensures data quality through proprietary agentic technology and human expertise. The expert network spans 6000+ contributors in 90+ domains.

Differentiator

Problem solved

Functional benefit

Brands

  • Tendem: Hybrid AI agent platform combining AI orchestration with vetted human experts for professional task delegation including market research, writing, analysis, and content creation.
  • Toloka Arena
  • Toloka Platform

Products and services

  • Toloka Platform Self-service SaaS platform enabling researchers and ML teams to configure, launch, and manage data collection and annotation projects independently without operational overhead. Features AI-assisted project builder, LLM-based quality assurance (89.1% failure detection accuracy), instant expert matching across 90+ domains, multi-stage pipeline support, and pay-as-you-go pricing with no minimum commitments.
  • Tendem Hybrid AI agent platform combining AI orchestration with vetted human experts for professional task delegation. Enables professionals to delegate market research, writing, analysis, content creation, and consulting tasks with verified quality. Delivers 1.8x higher quality than AI-only tools and 2.1x faster delivery than freelance platforms. Accessible via self-serve early access at tendem.ai.
  • Toloka Arena Independent evaluation platform for agentic intelligence providing private benchmarking of frontier AI models on RL Gym-style enterprise workflows. Tests multi-step, multi-tool agent capabilities using deterministic grading (database state hash comparison) across manufacturing, airlines, logistics, banking, food services, and other domains. Includes public leaderboard showcasing model evaluation results.
  • AI Agent Training & Evaluation Data Managed data service providing training and evaluation data solutions for AI agents, including agent trajectory demonstrations, step-by-step evaluations, virtual environments with MCP replicas, safety red-teaming, and expert-captured workflows. Targets frontier AI labs building agentic systems.
  • Advanced LLM & VLM Datasets Managed data service providing domain-specific demonstration and preference data for large language and vision-language models. Includes reinforcement learning tasks with built-in verification, step-by-step reasoning chains for complex problem-solving, and multilingual content for foundation model training.
  • Programming Data for AI Coding Assistants Managed data service providing training data for AI coding assistants and software engineering workflows, including production-ready code generation examples, repository structures, issue resolution data, code review demonstrations, and rapid prototyping datasets.
  • VOX-DUB Benchmark First open human-evaluated benchmark for AI dubbing systems using pairwise A/B testing with native speakers. Rates systems on pronunciation, naturalness, audio quality, emotional accuracy, and voice similarity across multilingual content.
  • JEEM Benchmark Benchmark for evaluating multimodal models in low-resource Arabic dialects including Jordanian, Egyptian, Emirati, and Moroccan. Covers image captioning and visual question-answering tasks in four regional dialects. Developed in partnership with MBZUAI.
  • U-MATH Benchmark Largest multimodal benchmark for university-level math problems with 1,000+ complex prompts and 20% visual reasoning component. Developed in partnership with Gradarius for evaluating LLM capabilities in academic mathematics.
  • Toloka Expert Network Vetted global network service providing 6,000+ active contributors across 90+ domains with 70%+ holding advanced degrees. Spans 100+ countries and 40+ languages. Provides credentialed experts in medicine, law, finance, and other specialized fields for complex annotation, evaluation, and data production tasks.

Quantifiable outcome

  • 89.1% accuracy in catching QA failures automatically before reaching pipeline
  • +6 more outcomes

Companies that use Toloka

Customer profile

Named customers6 records

Segments5 records

Ideal customer profiles5 records

Toloka technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability13 records

Feature6 records

Toloka partnerships and signals

Strategic signal

Partnerships

Four partnerships are on record, tiered core.

  • HuggingFacecoreStrategic or Co-development Partner · 11 June 2026Toloka participates in the BigCode project with HuggingFace and ServiceNow, contributing to open-source code AI development.
  • ServiceNowcoreStrategic or Co-development Partner · 11 June 2026Toloka collaborates with ServiceNow on the BigCode project for AI code generation research.
  • Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)coreStrategic or Co-development Partner · 14 April 2025Partnership to create JEEM benchmark for evaluating AI models in low-resource Arabic dialects. MBZUAI provided expertise in Arabic multimodal models, Toloka contributed data annotation capabilities. Benchmark covers Jordanian, Egyptian, Emirati, and Moroccan dialects.
  • GradariuscoreStrategic or Co-development Partner · 5 December 2024Partnership with educational math platform to launch U-MATH benchmark for evaluating LLMs on university-level math problems. Combined Toloka's data annotation capabilities with Gradarius's Math Engine for comprehensive multimodal evaluation.

Scale indicators7 records

Recent moves7 records

Expansion highlights6 records

Toloka competitors and assessment

Company assessment

Direct peers

  • Scale AI: Scale AI is the most direct competitor to Toloka, offering RLHF, data annotation, and evaluation services for foundation models. Both serve frontier AI labs with high-quality human-labeled training data and operate globally distributed expert workforces.
  • Surge AI: Surge AI specializes in RLHF and preference data for foundation model alignment, directly competing with Toloka's domain expert network and serving similar AI lab customers with human feedback pipelines.
  • Appen: Appen is a global data annotation company providing training data for AI/ML models, comparable to Toloka's managed services and crowd-based annotation offerings across multiple data modalities.
  • Labelbox: Labelbox provides a data labeling platform with human-in-the-loop annotation capabilities, comparable to Toloka's self-service Platform offering for ML teams needing configurable annotation pipelines.
  • Defined.ai: Defined.ai provides training data and evaluation datasets for AI systems, competing with Toloka across speech, NLP, and computer vision annotation with similar enterprise sales motion.
  • SuperAnnotate: SuperAnnotate offers an AI data annotation platform with managed services for ML teams, comparable to Toloka's hybrid model of self-service tools combined with expert annotation workforce.
  • Sama: Sama provides high-quality data annotation and validation for AI applications, serving enterprise customers with curated workforces similar to Toloka's expert network approach.
  • CloudFactory: CloudFactory offers managed data annotation with a distributed workforce, comparable to Toloka's managed services offering for enterprises needing scalable human-in-the-loop data production.

Emerging players

  • Snorkel AI: Snorkel AI focuses on data-centric AI with programmatic labeling and weak supervision. It overlaps with Toloka's data production services but emphasizes automated labeling over human annotation.
  • Roboflow: Roboflow specializes in computer vision data preparation and annotation, overlapping with Toloka's image and video annotation capabilities for ML teams building vision models.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key highlights7 records

Customer concentration

Toloka social profiles

Digital presence

Toloka compliance and trust

Trust signal

Compliance8 records

Toloka financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Toloka leadership team

Management profile

Number of profiles

Profiles4 records

Toloka subsidiaries and ownership

Company hierarchy

Subsidiaries1 record

Toloka funding detail

Funding detail

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Toloka M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Toloka

What does Toloka do?

Toloka is an AI training data platform that combines a vetted global network of human experts with proprietary AI automation to produce, evaluate, and quality-assure training data for AI agents, LLMs, and VLMs. Its core offerings include a self-service data annotation platform (Toloka Platform), managed enterprise data services, the Tendem hybrid AI-human agent platform for professionals, and the Toloka Arena private benchmarking platform for agentic AI evaluation.

Is Toloka a public or private company?

Toloka is a private company. It is classified as corporate owned and is currently operating.

When was Toloka founded?

Toloka was founded in 2014. It employs 251 to 500 people.

Where is Toloka based?

Toloka is headquartered in Luzern, Switzerland, in the Europe region.

How does Toloka make money?

Four revenue lines are on record. Managed Service Data Business are the primary driver. The others are self-Service Data Annotation Platform, tendem Hybrid Agent Platform and benchmark/RL Gym Licensing.

Who are Toloka's main competitors?

Direct peers on record are Scale AI, Surge AI, Appen, Labelbox, Defined.ai, SuperAnnotate, Sama and CloudFactory. Emerging players are Snorkel AI and Roboflow.

Does Toloka have an API?

No public API is recorded for Toloka.

What industry is Toloka in?

Toloka's product category is AI Training Data Services. Its primary akta.pro industry code is BPAEAHAG, Generative AI & LLM Solutions Services (RAG, Agents, Copilots), with a secondary code of HDAEANAD, LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG). Its NAICS code is 54151 and its SIC code is 7370.

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Live signals
Financial ExpressPage 5 of Jeff bezos News: Jeff bezos Latest News, Jeff bezos Today news, Jeff bezos Breaking NewsJeff Bezos and Lauren Sanchez's wedding plans faced protests in Venice, Italy, and their reunion in France was marked by a bachelorette party. Bezos's firm led a $72-million investment in AI data company Toloka. Additionally, Donald Trump contacted Bezos over Amazon's tariff surcharges, which Amazon then reversed.VestbeeCargofy lands $11M to automate freight operations with AI agentsCargofy, a Kyiv-based logtech AI company, closed an $11 million Series A round led by u.ventures, Toloka, and Movens Capital. The funds will support expansion into new international markets and scaling of its AI agents that automate freight operations across 70+ tools.Pulse 2.0Toloka: Interview With CEO Olga Megorskaya About The Training Data PlatformToloka, an AI training data platform founded in 2014, has raised $72M in funding and developed three core products: a Managed Service Data Business for enterprise partners, a Self-Service Data Annotation Platform for researchers and startups, and Tendem, a hybrid AI agent for prosumer markets. The company works with clients like Poolside and Shopify, helping them achieve high accuracy in tasks such as product catalog mapping through human-AI collaboration. CEO Olga Megorskaya discussed the company's evolution from simple labeling tasks to complex RL gym environments for AI agent training and evaluation.TolokaToloka ∙ Training data for AI agents and LLMsThe article discusses Toloka's role in providing training data for AI agents and large language models, highlighting its technological solutions and client testimonials. It emphasizes the company's capabilities in generating specialized environments and datasets for various AI applications.IbtimesTop 10 AI Companies in Netherlands 2026: Leading Innovators Powering Europe's AI Talent HubA 2026 ranking has identified the Netherlands as Europe's leading AI talent hub, with 10.9 AI professionals per 10,000 inhabitants and the continent's highest talent density, spanning hardware, software, data platforms, and applied AI solutions. The list features 10 companies including Axelera AI, Weaviate, Innatera, ScreenPoint Medical, Nebius, Toloka, FRISS, Pyramid Analytics, Source, and Wonderflow, collectively representing hardware innovation in Eindhoven and software leadership in Amsterdam. Despite strong fundamentals, the Dutch AI ecosystem faces challenges in scaling startups, with 27% of venture capital flowing to AI but conversion from startup to scaleup lagging behind European peers.TherobotreportPhAIL ranks top robotics foundation models on real hardwarePositronic Robotics, a Springfield, Missouri-based company founded in September 2025, has launched the Physical AI Leaderboard (PhAIL), a benchmark evaluating robotics foundation models on real commercial hardware using tasks like bin-to-bin order picking. The inaugural evaluations tested four models—OpenPI 0.5 from Physical Intelligence, GR00T from NVIDIA, SmolVLA from HuggingFace/LeRobot, and ACT from LeRobot—revealing a measurable gap between current foundation models and human-level performance in both throughput and reliability. The company launched PhAIL as a governed consortium with Nebius as founding partner and Toloka as data partner, aiming to establish objective metrics for commercial readiness and ROI signals in the physical AI ecosystem.AlphrHuman Expertise Meets AI: Our Tendem AI ReviewTendem AI, a service powered by the Dutch multinational Toloka, combines generative AI with human oversight to produce content, code, and data scraping results. The platform operates on a pay-as-you-go model with tasks reviewed by vetted experts within 48 hours, targeting copywriting, development, design, and data gathering.NebiusBlogNebius and Toloka announced plans to integrate Tendem into the Nebius ecosystem to enhance their AI stack with human expert input. Tendem is designed as a hybrid human-AI platform embedding vetted human experts into AI workflows.TolokaComplete guide to RLHF for LLMs: How human feedback shapes modern AIThis article is an instructional guide explaining the mechanics, pipeline stages, limitations, and practical implementation considerations of Reinforcement Learning from Human Feedback (RLHF) as a post-training alignment technique for large language models. It covers the three-stage RLHF process, alternative methods such as DPO, RLAIF, and reasoning-focused approaches like GRPO, and discusses how human preference data quality ultimately constrains alignment outcomes. The article is authored by Toloka as promotional educational content for its data annotation platform.Unite.AIOlga Megorskaya, Founder and CEO of Toloka – Interview SeriesOlga Megorskaya, founder and CEO of Toloka, discusses the company's positioning as a Netherlands-based AI data services firm and its evolution since her departure from Yandex in 2020, highlighting the development of Tendem, a hybrid AI agent product that combines machine-learning automation with human expertise for training and evaluating large-scale AI models. She argues that hybrid agents combining AI speed and structure with human judgment for ambiguity and edge cases represent the model that will ultimately win in knowledge work, enabling verifiable, auditable workflows suitable for regulated industries. The interview covers her views on how the shift to hybrid agents will reshape the freelance economy, shifting experts from low-level repetitive tasks to higher-value specialized contributions.