Tasq AI and BLEND Announce Merger to Launch the “Trust Layer” for Global Enterprise AI
The unified entity establishes a powerhouse in the multi-billion-dollar AI data market, merging proprietary data refinery technology with a global network of millions of humans including 25,000 domain experts
Tasq AI’s combined client roster includes 200 enterprises with some of the world’s most recognizable brands, such as Meta, PayPal, Reddit and Payoneer
Yoav Ziv, CEO of the merged company: “Tasq AI’s technology enables AI models to be trained up to 10× faster than existing approaches. This breakthrough will allow enterprises to close the AI trust gap efficiently”
Despite the immense potential of artificial intelligence, the “Trust Gap” remains a primary barrier to enterprise adoption. To tackle this challenge, Tasq AI and BLEND announce a comprehensive merger, creating a unified platform dedicated to ensuring the accuracy and reliability of production-grade AI.
The merged company, operating under the Tasq AI brand, establishes itself as a key player, generating tens of millions of dollars in revenue and employing a global team of 120. Its combined client roster includes some of the world’s most recognizable brands, such as Meta, PayPal, Reddit, iHerb, Puma, and Payoneer.
Salesforce research shows that 76% of business leaders feel pressure to deliver value from data, yet incomplete or low-quality data undermines confidence in AI. In the “Your Data, Your AI” survey, 54% of AI users said they don’t trust the data training their models, and those who distrust it are significantly more hesitant to adopt AI.
Bridging the AI Trust Gap
“Data has become the critical defensive layer in the $1.5 trillion AI market, that safeguards the quality and reliability of AI models,” said Yoav Ziv, CEO of the merged Tasq AI, formerly a top executive at Amdocs (NASDAQ: DOX) and Checkmarx. “We are establishing a single entity that combines technology and people to tackle the greatest challenge in AI implementation: trust, at speed and quality levels no one thought possible. Tasq AI’s technology enables AI models to be trained up to 10X faster than existing approaches.”
The global AI market is expected to reach trillions of dollars by the early 2030s, yet AI adoption remains limited. MIT research shows that around 95% of generative AI projects fail, mainly due to poor data quality and fragmented data processes rather than model limitations (“garbage in, garbage out”). As a result, the data layer is the most critical foundation for AI success, and the Tasq AI–BLEND merger addresses this gap by combining an end-to-end Data Refinery with deep enterprise expertise to accelerate trusted AI adoption.
A Multi-Layer Model Mission-Critical AI
Enterprises currently face a trade-off between scale and precision. Tasq AI eliminates this friction through a proprietary multi-layer model that deploys human intelligence “just in time.” For tasks requiring volume and diversity, the platform leverages a near-real-time global crowd of millions of contributors to handle massive-scale workloads. Meanwhile, missions that demand high levels of specialized expertise are directed to a curated network of over 25,000 vetted domain experts across over 120 languages.
This architecture enables the platform to flexibly deploy the precise level of expertise required, ensuring exceptional data quality at unprecedented speeds for tasks ranging from fraud detection and LLM evaluation to video annotation.
Erez Moscovich, Founder and President of Tasq AI, said: “If we compare the AI revolution to the automotive revolution, NVIDIA builds the highways, AI model companies build the engines, and data is the fuel. Yet data-related challenges prevent many AI systems from reaching their destination, despite massive investments in infrastructure and models. Tasq AI’s mission is to ensure AI models deliver real, production-grade value and that the adoption of AI models and GPUs continues to scale. We build the modern refinery that organizes data and human expertise to power the AI revolution.”
Founded in 2019, Tasq AI pioneered the “Data Refinery” approach to AI training. By orchestrating work across a tiered network of global contributors and specialized experts, Tasq AI delivers 99% trust-grade data for 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 $30M in funding from the 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 context required for global AI deployments.
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