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Tasq AI

Category: AI Infrastructure

AI evaluation / trust-layer platform that orchestrates model, expert, and crowd judgment to validate trust-critical AI outputs in production for global enterprises. Tasq AI was founded in 2019. The company is led by Yoav Ziv. Based in Tel Aviv, Israel. Team size: 51-150. Total funding raised: $4.0M. Latest round: Seed. Key investors include Alpha Protocol Ventures, Tal Ventures, Silicon Gardens, TLV Seed, Shai Dekel.

Founded
2019
Headquarters
Tel Aviv, Israel
Team size
51-150
Total funding
$4.0M

Value proposition

Bridges the 'AI trust gap' by combining massive-scale human guidance with automated data orchestration, delivering high-quality, bias-free training data at a speed and scale that traditional labeling services cannot match.

Products and solutions

Model / Expert / Crowd as a Judge evaluation modules, HERO / Data Refinery orchestration (micro-tasking), Production-time AI validation & LLM evaluation, Multimodal workflows (text, image, video, audio), Global localization & cultural adaptation (BLEND network, 120+ languages)

Unique value

Utilizes a proprietary 'NanoTasking' approach that decomposes complex data labeling into thousands of micro-tasks, allowing for massive parallel processing and built-in cross-verification by a global crowd.

Target customer

Enterprise AI teams, LLM developers, data scientists, and global companies deploying generative AI and autonomous systems.

Industries served

Artificial Intelligence & LLM Development, Automotive (Autonomous Driving), Healthcare & Life Sciences, E-commerce & Retail, Finance & Legal Tech

Technology advantage

Full-stack trust layer: proprietary decomposition/orchestration plus in-house judgment network—100M+ contributors and 75K+ credentialed domain experts across 120+ languages—enabling production-time validation (not only pre-launch annotation).

How they differentiate

Differentiates via micro-decision orchestration routed across model, crowd, and expert judges, plus an in-house 75K+ expert / 100M+ contributor network in 120+ languages—positioning as a production trust/evaluation layer rather than a pure annotation BPO.

Main competitors

Scale AI, Labelbox, Appen, Snorkel AI

Key partnerships

NVIDIA (Inception Program member), Major LLM providers (OpenAI, Anthropic, etc. for RLHF workflows), Global localization and translation networks via the BLEND merger

Notable customers

Meta, PayPal, Reddit, iHerb, Puma, Payoneer, Toyota Research Institute

Major milestones

Launched NanoTasking™ platform in 2020, Secured $4M Seed funding in Sep 2021, Strategic merger with BLEND (formerly One Hour Translation) on Jan 12, 2026, Yoav Ziv appointed CEO of unified Tasq AI; Erez Moscovich President, Shaul Cohen appointed CTO (May 2026)

Growth metrics

Estimated combined ARR of $20M - $40M post-merger; global workforce of 25,000+ experts.

Market positioning

The 'Trust Layer' for enterprise AI, positioning itself as a high-accuracy, culturally-aware alternative to traditional mass-market data labeling services.

Geographic focus

Global, with a strong presence in North America, Europe, and Israel.

Patents and IP

Proprietary NanoTasking™ technology and AI-driven task distribution algorithms (specific patent filings are typically held as trade secrets or private IP).

About Yoav Ziv

Yoav Ziv is a technology executive with ~27–30 years in software. He became CEO of BLEND (formerly One Hour Translation) in September 2024, then CEO of the merged Tasq AI entity after the January 2026 Tasq.ai–BLEND merger. Prior roles include VP at Checkmarx and senior leadership at Amdocs (customer success, business transformation, operational excellence).

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