How much funding has Toloka raised?

Toloka has raised $72.0M in total funding. Their latest funding round was Series C ($72.0M, May 2025). Key investors include ["Bezos Expeditions","Mikhail Parakhin","Nebius Group"].

Where is Toloka headquartered?

Toloka is headquartered in Amsterdam, Netherlands. The company has a team of 501-1000 people.

Toloka operates in the AI Infrastructure sector. A human-in-the-loop data labeling and AI training platform that provides high-quality training data for machine learning models, specializing in large language models and generative AI systems through crowdsourced human expertise combined with automation. Delivers enterprise-grade human expert training data at scale by combining human expertise with state-of-the-art automation, enabling faster AI development with superior quality through human-in-the-loop annotation, model evaluation, and RLHF services for generative AI.

When was Toloka founded?

Toloka was founded in 2014. It is based in Amsterdam, Netherlands.

How much funding has Toloka raised?

Toloka has raised $72.0M in total funding. Key investors include ["Bezos Expeditions","Mikhail Parakhin","Nebius Group"].

Who is the CEO of Toloka?

Olga Megorskaya is the CEO of Toloka. The company was founded in 2014.

Where is Toloka located?

Toloka is headquartered in Amsterdam, Netherlands.

What funding stage is Toloka at?

Toloka is currently at the Growth Stage stage.

How many employees does Toloka have?

Toloka has approximately 501-1000 employees.

Toloka

Category: AI Infrastructure

A human-in-the-loop data labeling and AI training platform that provides high-quality training data for machine learning models, specializing in large language models and generative AI systems through crowdsourced human expertise combined with automation. Toloka was founded in 2014. The company is led by Olga Megorskaya. Based in Amsterdam, Netherlands. Team size: 501-1000. Total funding raised: $72.0M. Latest round: Series C ($72.0M, May 2025). Key investors include ["Bezos Expeditions","Mikhail Parakhin","Nebius Group"].

Founded: 2014
Headquarters: Amsterdam, Netherlands
Team size: 501-1000
Total funding: $72.0M

Value proposition

Delivers enterprise-grade human expert training data at scale by combining human expertise with state-of-the-art automation, enabling faster AI development with superior quality through human-in-the-loop annotation, model evaluation, and RLHF services for generative AI.

Products and solutions

["Data Labeling & Annotation Platform","Human-in-the-Loop AI Training Services","RLHF (Reinforcement Learning from Human Feedback) Solutions","LLM Fine-tuning & Evaluation Services","Model Evaluation & Red-teaming","Computer Vision Annotation","NLP & Text Annotation","Audio/Video Transcription & Analysis","Medical Imaging & 3D Point Cloud Annotation","AI Safety & Alignment Services"]

Unique value

Proprietary platform integrating crowdsourced human expertise (6,000+ active contributors, millions registered users across 100+ countries, 40+ languages) with advanced automation for AI training. Offers PhD-level domain expertise across 90+ domains with 50+ automated quality control methods and 60+ platform-level antifraud measures, delivering 45% throughput increase with custom AI solutions.

Target customer

Leading AI labs, frontier model developers, and enterprise companies including Amazon, Microsoft, Anthropic, Shopify, poolside, and Recraft

Industries served

["Artificial Intelligence & Machine Learning","Large Language Models & Generative AI","Autonomous Vehicles & Robotics","Computer Vision & Image Recognition","Natural Language Processing","Healthcare AI & Medical Imaging","Enterprise Software","E-commerce & Web Services","Banking & Financial Services","Research & Development"]

Technology advantage

Combines massive global crowd workforce with enterprise-grade quality assurance (ISO 27001/27701, SOC 2, GDPR, CCPA, HIPAA compliant) on MS Azure infrastructure. Expert-level human-in-the-loop services for complex tasks including RLHF, active learning, and model evaluation critical for generative AI, supporting supervised fine-tuning (SFT) and reinforcement learning workflows.

How they differentiate

Toloka differentiates through its massive global crowd network (millions across 100+ countries, 40+ languages) combined with PhD-level domain expertise across 90+ domains. Proprietary platform offers 50+ automated quality control methods and 60+ platform-level antifraud measures, delivering 45% throughput increase with custom AI solutions. Specialized in frontier AI training (RLHF, LLM evaluation) for generative AI systems.

Main competitors

["Scale AI","Labelbox","Appen"]

Key partnerships

["Amazon (major client & strategic relationship)","Microsoft (enterprise partnership)","Anthropic (frontier AI lab collaboration)","Shopify (platform integration & investment via CTO Mikhail Parakhin)","poolside (AI development partnership)","Recraft (generative AI collaboration)","Nebius Group NV (parent company ecosystem)","Bezos Expeditions (lead investor & strategic backing)","Nvidia (technology partner & investor)"]

Notable customers

["Amazon","Microsoft","Anthropic","Shopify","poolside","Recraft"]

Major milestones

["Series C funding of $72M led by Bezos Expeditions in May 2025","Gained operational independence from Nebius Group while retaining significant economic stake","Mikhail Parakhin (Shopify CTO) joined as Executive Chairman of the Board"]

Growth metrics

Gained operational independence from parent company Nebius Group after funding; serves leading AI labs including Amazon, Microsoft, Anthropic, Shopify

Market positioning

Premium AI data solutions provider serving frontier AI labs and enterprise clients building LLMs and generative AI systems. Positioned as a trusted data partner for leading technology companies, bridging human expertise with machine learning at enterprise scale.

Geographic focus

Global operations with headquarters in Amsterdam, Netherlands; additional offices in United States, Israel, Switzerland, and Serbia. Serves clients worldwide with recent focus on US market expansion.

Patents and IP

No registered patents publicly disclosed; company maintains proprietary intellectual property rights to platform technology, models, algorithms, software, and methodologies under comprehensive legal protection

About Olga Megorskaya

Founder and CEO at Toloka (2014–present); former Head of Crowdsourcing and Platforms at Yandex (~10+ years); specialist in human-in-the-loop AI data, crowdsourcing, and ML data labeling

Official website: https://toloka.ai