Yael Kochman
February 12, 2025
Tasq.ai offers a customizable AI platform that enhances generative AI models through decentralized human guidance and world-class models. Their solutions include data validation, enrichment, collection, content moderation, and computer vision applications. They also provide tools for ranking, surveys, and model validation. Tasq.ai enables businesses to streamline workflows and improve machine learning outcomes by offering scalable, tailored solutions for diverse industries, ensuring accuracy and efficiency in AI-driven tasks.
The AI industry faces a critical challenge: acquiring high-quality, scalable, and cost-effective data for AI model training. Traditional labeling methods are slow, expensive, and struggle to keep up with evolving AI demands. Tasq.ai was founded to change that—offering an innovative decentralized approach to AI data labeling that blends ML automation with human intelligence for faster, more efficient model validation.
The story of Tasq.ai isn’t just about technology—it’s about the people behind it. Three founders—Erez Moscovich, Nati Catalan, and Yossi Motro—brought not only their expertise but an incredible passion for making a difference.
Erez, the company’s CEO, Nati, the driving force behind business development, and Yossi, the technological innovator, complete this puzzle, which feels as though it was meticulously designed. Their shared commitment to revolutionizing AI data workflows through a decentralized, human-in-the-loop approach has positioned Tasq.ai as a leader in scalable, high-quality data labeling and model evaluation.
Together, they’ve not only built a company but also attracted the attention of industry giants like Meta and PayPal, who became key partners early on.
Unlike competitors, Tasq.ai offers a decentralized workforce model that reduces costs while increasing scalability and precision. Instead of relying solely on traditional, fixed-labor data annotation, Tasq.ai leverages an on-demand, AI-assisted human workforce to provide more adaptable and cost-efficient data solutions for enterprises worldwide. By dynamically allocating data tasks to a global workforce, Tasq.ai enables AI models to be trained and validated with higher accuracy while significantly reducing labeling and deployment time. This ensures that AI models receive not only large quantities of data but also the highest quality inputs necessary for optimal performance. Additionally, the combination of human insight with automation enhances AI decision-making in industries like retail, fintech, and eCommerce.
Tasq.ai has already secured major clients, including Meta, Reddit, PayPal, and Toyota. These partnerships have validated the company’s approach, demonstrating its ability to improve AI model performance, reduce time to deployment, and provide highly scalable AI solutions. Companies using Tasq.ai report higher efficiency in data labeling and significantly improved AI-driven decision-making.
Tasq.ai’s platform is transforming retail and eCommerce through AI-driven solutions such as:
Looking ahead, Tasq.ai aims to become the go-to partner for AI teams worldwide, providing cutting-edge, scalable data solutions. As AI continues to expand into more industries, Tasq.ai plans to enhance its platform capabilities, introduce new automation features, and forge deeper partnerships with AI-driven enterprises.
Tasq.ai’s story is so much more than a startup. It’s a tale of vision, persistence, and the belief that the right combination of technology and people can change the world.
Interested in working with Tasq.ai? They are hiring for multiple roles in AI and data operations. Explore their open positions here or reach out to them directly to join the future of AI-driven data solutions. For businesses seeking state-of-the-art AI model evaluation and data labeling, contact them for a demo or partnership discussion.
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