Tasq.ai

What Tasq.ai does

Tasq.ai (legal entity Tasq Technologies Ltd., domiciled in Israel) is an enterprise AI data infrastructure and trust-layer company that operates a proprietary orchestration platform called HERO (Human Expertise & Reasoning Orchestration). The platform deconstructs high-stakes AI decisions into micro-tasks and routes each to the appropriate tier of judgment — machine automation for routine work, a global crowd of 100M+ contributors for moderate-ambiguity perception tasks, and 25K+ credentialed domain experts for complex reasoning across 120+ languages. The company delivers three integrated layers: L1 data infrastructure, L2 build/train services including RLHF, SFT, and benchmarking, and L3 production-time continuous validation that monitors live AI systems for drift, hallucinations, and edge-case failures. Named production customers include Reddit, Toyota Research Institute, BRIA, an aliased top-5 social platform, an aliased top-3 global commerce platform, and a government agency, spanning physical AI, defense and intelligence, social media, and commerce verticals.

The company was formed from the January 2026 merger of pre-merger Tasq.ai with BLEND, combining AI orchestration technology with a global localization and domain-expert network. It is backed by Fortissimo Capital with $30 million in funding and operates with approximately 120 employees across three continents under a Tel Aviv and remote-first model. Tasq.ai sells exclusively through enterprise sales — there is no self-serve entry point — with custom pricing based on project scope, volume, and workflow complexity, multi-year contracts, and dedicated account management. The company also exposes an API for engineering teams to embed human-in-the-loop validation into their ML/LLM stacks. Distribution is direct enterprise field sales with demo-driven engagement, supplemented by content marketing (blog, SEO, LinkedIn) targeting enterprise AI decision-makers in foundation model development, robotics, defense, social platforms, and retail/financial services. The company's central differentiator is its independence from hyperscaler ownership, which it cites as an active buying criterion because client data does not pass through competitor infrastructure.

Name

Tasq.ai

Legal name

Tasq Technologies Ltd.

Website

https://tasq.ai

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

11–50 employees

Short description

Tasq.ai is an Israel-based enterprise AI trust-layer company that uses its HERO orchestration platform and a 25K-expert, 100M-contributor network to deliver production-time data validation, RLHF/SFT, and GenAI evaluation for foundation-model developers, robotics labs, defense agencies, and major platforms.

Ownership category

akta.pro rank

Product category

AI Data Validation Platform

NAICS

Other Computer Related Services (541519), Custom Computer Programming Services (541511)

SIC

Services-Computer Processing & Data Preparation (7374), Services-Computer Programming Services (7371)

akta.pro primary industry

AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)

akta.pro secondary industries

Model Monitoring, Accountability & Incident Management (HDAAAMAF), Safety, Alignment & Content Moderation (Guardrails, Red Teaming) (HDAAACAI), Human Oversight, Review & Content Moderation Tooling (HDAAAMAH), Responsible AI, AI Governance & Compliance Services (BPAEAHAJ)

Keywords

• AI data validation
• Human-in-the-loop AI
• LLM evaluation platform
• Enterprise AI trust layer
• RLHF model tuning

Headquarters

HQ city

Tel Aviv-yafo

HQ country

Israel

HQ region

Middle East

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations

Revenue model

1. Enterprise Data Annotation Services: Full-service data annotation and validation for enterprise AI teams. Pricing is custom based on project scope, volume, and workflow complexity. No self-serve entry point; built for enterprise scale with dedicated account management.
2. Model Evaluation and Benchmarking: GenAI and LLM evaluation services including RLHF and SFT. Delivered through Automated HERO Workflow with tiered expertise routing.
3. Custom Enterprise Engagements: Tailored engagements for high-stakes AI validation including physical AI, defense, social media, and global commerce verticals. Pricing requires sales conversation; custom quotes based on scope.

Pricing tiers

Go-to-market motion2 records

Distribution channels2 records

Marketing channels4 records

Core offering

Tasq.ai provides an enterprise AI trust-layer platform built on its HERO (Human Expertise & Reasoning Orchestration) workflow that deconstructs high-stakes AI problems into micro-decisions and routes each to the optimal tier of judgment—from 100M+ crowd contributors for routine perception tasks to 25K+ credentialed domain experts for complex reasoning. The platform delivers continuous production-time validation (L3), data annotation, GenAI/LLM evaluation, RLHF and SFT model tuning, and high-stakes data validation for enterprise AI teams, foundation model developers, defense agencies, and global platforms.

Product overview

Tasq.ai is a unified enterprise AI trust layer platform combining data infrastructure, AI orchestration, and human expertise. The platform is built around the HERO (Human Expertise & Reasoning Orchestration) workflow that routes high-stakes AI decisions to appropriate expertise levels. Core offerings include GenAI & LLM Evaluation for model validation, AI Model Tuning (RLHF & SFT) for continuous improvement, and High-Stakes Data Validation for mission-critical applications. Supporting modules include Image/Video Annotations, Content Moderation, Foundation Models support, Synthetic Data Validation, Computer Vision, and Ranking Surveys. The platform serves over 200 enterprise clients including Reddit, Toyota Research Institute, and government agencies.

Differentiator

Problem solved

Functional benefit

Products and services

• HERO Workflow Proprietary Human Expertise & Reasoning Orchestration system that automatically routes data validation micro-decisions to the optimal expertise tier (machine, crowd contributor, or domain expert), delivering 99% accuracy in production environments and 10X faster trust-grade data delivery. Targeted at enterprise AI teams operating production models.
• GenAI & LLM Evaluation

Quantifiable outcome

• 99% accuracy floor in production environments
• +3 more outcomes

Named customers5 records

Segments6 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability10 records

Feature5 records

Scale indicators8 records

Recent moves6 records

Expansion highlights7 records

Direct peers

• Labelbox: Labelbox provides an AI data platform spanning annotation, cataloging, and model evaluation. Overlaps with Tasq.ai's HERO orchestration across computer vision, NLP, and LLM evaluation workflows, targeting similar enterprise AI buyers.
• Scale AI: Scale AI is the largest pure-play AI data labeling and evaluation platform, offering RLHF, SFT, and model benchmarking. Directly comparable to Tasq.ai on core capability (HITL annotation + model evaluation) and enterprise buyer base, though Scale is more verticalized on foundation model labs.
• Sama: Sama delivers AI data annotation with an emphasis on impact-sourcing and high-accuracy labels for computer vision and NLP. Comparable to Tasq.ai on enterprise AI training data and validation services for mission-critical applications.
• Surge AI: Surge AI focuses on RLHF and fine-tuning data for foundation models, competing directly with Tasq.ai's AI Model Tuning offering. Its emphasis on expert-led labeling positions it as a tight peer for high-stakes LLM evaluation.
• Appen: Appen provides training data and human-annotated datasets for AI/ML, with a global contributor crowd similar to Tasq.ai's 100M+ network. It is a direct competitor across data annotation, LLM evaluation, and enterprise AI validation use cases.
• CloudFactory: CloudFactory combines AI-assisted automation with a managed human workforce for data labeling and validation. Directly comparable to Tasq.ai on blended human-AI workflows for enterprise AI teams.
• Roboflow: Roboflow offers computer vision annotation, model training, and evaluation tooling. It overlaps with Tasq.ai's image/video annotation and physical AI validation use cases, particularly relevant for autonomous systems customers like Toyota Research Institute.

Emerging players

• SuperAnnotate: SuperAnnotate provides annotation tooling and managed labeling services for multimodal AI. It overlaps with Tasq.ai on image/video annotation and LLM evaluation but is more focused on platform tooling than production-time monitoring.
• Encord: Encord builds data development tools for multimodal AI, including annotation, curation, and evaluation. Comparable to Tasq.ai on computer vision and multimodal validation, with less emphasis on the global crowd layer.

Broad incumbents

• Amazon SageMaker Ground Truth: AWS's bundled data labeling service provides human annotation integrated into the AWS stack. Tasq.ai explicitly positions against this kind of hyperscaler-owned offering as part of its 'independence' differentiator.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks7 records

Key highlights7 records

Customer concentration

• Xx.com/tasq_ai
• Facebookfacebook.com/tasqai
• LinkedInlinkedin.com/company/tasq-ai

Revenue estimate

Valuation estimate

Number of profiles

Profiles6 records

Subsidiaries1 record

Funding overview

Funding rounds1 record

Investors2 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A2 records

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Tasq.ai