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Recently Funded|Amount: USD 72.0M|Industry: IT Services and IT Consulting
Toloka Secures $72M to Drive Next-Generation, Responsible AI Solutions
Toloka

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Toloka is excited to announce a major milestone in our journey towards empowering businesses to build high quality, safe, and responsible AI. We have successfully raised $72,000,000 to further our mission and accelerate the adoption of innovative data solutions across the global market. For over a decade, Toloka has been the trusted data partner for companies at every stage of AI development—from initial training to rigorous evaluation. Our unique blend of machine learning technology and human expertise has set industry standards by delivering scalable and reliable solutions that consistently meet the high benchmarks of quality and safety. With this significant funding, we are poised to expand our platform’s capabilities, enhance our proprietary methodologies, and continue pushing the boundaries of what AI can accomplish. The new capital will enable us to make strategic investments in research and development, fueling advancements in our cutting-edge technology stack while also scaling our operations to better serve the ever-growing needs of our partners. We plan to leverage this funding to strengthen our infrastructure and bring more innovative solutions to market that ensure seamless integration, improved performance, and increased security for our clients. Additionally, we will invest in expanding our talented team, fostering an environment where creativity meets precision, and further bolstering our commitment to safe and responsible AI practices. This milestone is not only a testament to our robust track record and disruptive approach, but also a catalyst that will drive future growth, setting a new benchmark in the AI landscape. We are grateful for the support and trust from our investors and look forward to delivering even greater value to our community and clients worldwide.
Buying Signals & Intent
Our AI suggests Toloka may be interested in solutions related to:
- Data Labeling
- AI Evaluation
- AI Safety
- LLM Fine-Tuning
- Quality Control
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