The unified entity establishes a powerhouse within the multi-billion-dollar AI knowledge market, merging proprietary knowledge refinery expertise with a world community of thousands and thousands of people together with 25,000 area specialists
Tasq AI’s mixed shopper roster consists of 200 enterprises with among the world’s most recognizable manufacturers, similar to Meta, PayPal, Reddit and Payoneer
Yoav Ziv, CEO of the merged firm: “Tasq AI’s expertise permits AI fashions to be educated as much as 10× sooner than current approaches. This breakthrough will enable enterprises to shut the AI belief hole effectively”
Regardless of the immense potential of synthetic intelligence, the “Belief Hole” stays a main barrier to enterprise adoption. To deal with this problem, Tasq AI and BLEND announce a complete merger, making a unified platform devoted to making sure the accuracy and reliability of production-grade AI.
The merged firm, working beneath the Tasq AI model, establishes itself as a key participant, producing tens of thousands and thousands of {dollars} in income and using a world staff of 120. Its mixed shopper roster consists of among the world’s most recognizable manufacturers, similar to Meta, PayPal, Reddit, iHerb, Puma, and Payoneer.
Salesforce analysis reveals that 76% of enterprise leaders really feel stress to ship worth from knowledge, but incomplete or low-quality knowledge undermines confidence in AI. Within the “Your Knowledge, Your AI” survey, 54% of AI customers mentioned they don’t belief the information coaching their fashions, and people who mistrust it are considerably extra hesitant to undertake AI.
Bridging the AI Belief Hole
“Knowledge has turn out to be the important defensive layer within the $1.5 trillion AI market, that safeguards the standard and reliability of AI fashions,” mentioned Yoav Ziv, CEO of the merged Tasq AI, previously a high government at Amdocs (NASDAQ: DOX) and Checkmarx. “We’re establishing a single entity that mixes expertise and other people to deal with the best problem in AI implementation: belief, at velocity and high quality ranges nobody thought doable. Tasq AI’s expertise permits AI fashions to be educated as much as 10X sooner than current approaches.”
The worldwide AI market is predicted to achieve trillions of {dollars} by the early 2030s, but AI adoption stays restricted. MIT analysis reveals that round 95% of generative AI tasks fail, primarily on account of poor knowledge high quality and fragmented knowledge processes moderately than mannequin limitations (“rubbish in, rubbish out”). Consequently, the information layer is essentially the most important basis for AI success, and the Tasq AI–BLEND merger addresses this hole by combining an end-to-end Knowledge Refinery with deep enterprise experience to speed up trusted AI adoption.
A Multi-Layer Mannequin Mission-Essential AI
Enterprises presently face a trade-off between scale and precision. Tasq AI eliminates this friction by means of a proprietary multi-layer mannequin that deploys human intelligence “simply in time.” For duties requiring quantity and variety, the platform leverages a near-real-time international crowd of thousands and thousands of contributors to deal with massive-scale workloads. In the meantime, missions that demand excessive ranges of specialised experience are directed to a curated community of over 25,000 vetted area specialists throughout over 120 languages.
This structure permits the platform to flexibly deploy the exact degree of experience required, making certain distinctive knowledge high quality at unprecedented speeds for duties starting from fraud detection and LLM analysis to video annotation.
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Erez Moscovich, Founder and President of Tasq AI, mentioned: “If we examine the AI revolution to the automotive revolution, NVIDIA builds the highways, AI mannequin firms construct the engines, and knowledge is the gas. But data-related challenges stop many AI methods from reaching their vacation spot, regardless of large investments in infrastructure and fashions. Tasq AI’s mission is to make sure AI fashions ship actual, production-grade worth and that the adoption of AI fashions and GPUs continues to scale. We construct the fashionable refinery that organizes knowledge and human experience to energy the AI revolution.”
Based in 2019, Tasq AI pioneered the “Knowledge Refinery” method to AI coaching. By orchestrating work throughout a tiered community of worldwide contributors and specialised specialists, Tasq AI delivers 99% trust-grade knowledge for industries the place accuracy and cultural nuance are important. The corporate is backed by personal traders led by Professor Shai Dekel.
Based in 2008 and backed by $30M in funding from the main Israeli personal fairness fund Fortissimo, BLEND focuses on serving to international firms scale by means of AI-powered localization. Its community of 25,000 specialists offers the deep linguistic and cultural context required for international AI deployments.
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