A unified organization establishes great power in the world. Bringing together a multi-billion dollar AI data market, unique data refinement technology, and a global network of millions of humans, including 25,000 domain experts
Tasq AI's comprehensive client roster includes 200 companies with some of the world's most recognizable brands, including Meta, PayPal, Reddit, and Payoneer.
Yoav Ziv, CEO of the combined company: “Tasq AI's technology allows us to train AI models up to 10 times faster than existing approaches. This breakthrough allows businesses to efficiently close the AI trust gap.”
Despite the immense potential of artificial intelligence, the “trust gap” remains a major barrier to enterprise adoption. To address this challenge, Tasq AI and BLEND are announcing a comprehensive merger to create an integrated platform dedicated to ensuring the accuracy and reliability of production-grade AI.
The combined company, operating under the Tasq AI brand, has established itself as a leading company generating tens of millions of dollars in revenue and employing a global team of 120 people. The company's client roster includes some of the world's most recognizable brands, including Meta, PayPal, Reddit, iHerb, Puma, and Payoneer.
Salesforce research shows that while 76% of business leaders feel pressure to deliver value from their data, incomplete or low-quality data undermines trust in AI. The Your Data, Your AI survey found that 54% of AI users say they don't trust the data that trains their models, and those who don't trust their data are significantly more hesitant to adopt AI.
Closing the AI trust gap
“Data is a critical layer of defense in the $1.5 trillion AI market. “This protects the quality and reliability of our AI models,” said Yoav Ziv, former CEO of Amdocs (NASDAQ: DOX) and Checkmarx and CEO of the combined Tasq AI. “We are creating a single organization that combines technology and talent to tackle the biggest challenge in AI implementation: trust, at a speed and quality level that no one thought possible.” Tasq AI's technology allows you to train AI models up to 10x faster than existing approaches. ”
The global AI market is expected to reach trillions of dollars by the early 2030s, but AI adoption remains limited. According to research from MIT, approximately 95% of generative AI projects fail. The main cause is poor data quality and data process fragmentation, rather than model limitations (“Garbage goes in, garbage goes out.”). As a result, the data layer is the most critical foundation for AI success, and the combination of Tasq AI and BLEND addresses this gap and accelerates the adoption of trusted AI by combining an end-to-end Data Refinery with the company's deep expertise.
Mission-critical AI in a multi-layer model
Businesses currently face a trade-off between scale and accuracy. Tasq AI eliminates this friction through a unique multi-layered model that deploys human intelligence “just in time.” For tasks that require volume and variety, the platform leverages a near real-time global crowd of millions of contributors to handle large-scale workloads. Meanwhile, missions that require advanced expertise are directed to a curated network of more than 25,000 vetted domain experts across more than 120 languages.
This architecture gives the platform the flexibility to deploy the exact level of expertise required, ensuring superior data quality at unprecedented speed for tasks ranging from fraud detection and LLM assessment to video annotation.
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“If we liken the AI revolution to the automotive revolution, NVIDIA builds the highways, AI modeling companies build the engines, and data is the fuel. But despite massive investments in infrastructure and models, data-related challenges prevent many AI systems from reaching their destinations,” said Erez Moscovici, Founder and President of Tasq AI. “We are the refinery that organizes data and human expertise to power the AI revolution.”
Founded in 2019, Tasq AI is pioneering the “Data Refinery” approach to AI training. By coordinating work across a layered network of global contributors and expert experts, Tasq AI delivers 99% trust-grade data to industries where accuracy and cultural nuance are critical. The company is backed by private investors led by Professor Shai Dekel.
Founded in 2008 and backed by $30 million in funding from leading Israeli private equity fund Fortissimo, BLEND specializes in helping global companies scale through AI-powered localization. Its network of 25,000 experts provides the deep linguistic and cultural background needed for global AI deployment.
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