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Tasq.ai

Enterprise human-in-the-loop AI platform for data labeling, collection and production model QA.

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IL Est. 2019 Active AI API / SDK for Developers

Our Verdict

A competent labeling-to-evals partner, but not obviously differentiated from the bigger human-in-loop incumbents.

Pros

  • Strong human-in-the-loop workforce
  • Covers labeling through prod QA
  • Enterprise security and SLAs

Cons

  • Opaque pricing behind sales team
  • Quality varies by task and geography
  • Overlaps with Scale, Surge, Labelbox
Best for: Enterprises needing managed labeling and ongoing model QA with SLAs Not for: Startups that can run tight in-house labeling via cheaper self-serve tools

When to Use Tasq.ai

Good fit if you need

  • Managing and annotating ML training data with collaborative tools
  • Running AI-assisted annotation on image, video, and text datasets
  • Tracking annotation quality and labeler performance across projects
  • Building active learning loops to reduce annotation cost over time

Tasq.ai Pricing

Pricing Model
custom
Free Tier
No
Entry Price
β€”
Enterprise Available
No
Transparency Score
β€”

Beta β€” estimates may differ from actual pricing

1,000
1001K10K100K1M

Estimated Monthly Cost

$25

Estimated Annual Cost

$300

Estimates are approximate and may not reflect current pricing. Always check the official pricing page.

Lock-in Assessment

High 2/5
Lock-in Score
2/5

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