Data as of Aug 25, 2026 · Based on 1,609 AI responses · See how Parse measures this
Data Labeling Platforms and Services
Parse
https://parse.gl
Labelbox maintains its lead as the most-cited data labeling platform, favored for its flexibility and workflow management. However, the most significant shift is the rapid ascent of managed service providers like , , and , which now dominate recommendations for outsourced projects.
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | Maintains its #1 position with platform flexibility and enterprise workflow management. | 55% | |
| 2 | Major gainer, rising to #2 for its scalable managed annotation services. | 48% | |
| 3 | A top platform for CV, praised for its AI-assisted collaboration tools. | 47% | |
| 4 | New to the leaderboard, known for precision, non-crowdsourced annotation. | 38% | |
| 5 | Praised for its managed, human-in-the-loop workforce and scalable solutions. | 35% | |
| 6 | Cited for its massive global workforce, ideal for large, multilingual projects. | 29% | |
| 7 | 27% | ||
| 8 | 21% | ||
| 9 | Recognized for its ethical outsourcing model using a dedicated, managed workforce. | 20% | |
| 10 | An emerging leader for high-quality language data and RLHF annotation tasks. | 20% | |
| 11 | The leading open-source choice, valued for flexibility and custom workflows. | 19% | |
| 12 | 13% | ||
| 13 | 12% | ||
| 14 | 12% | ||
| 15 | 12% | ||
| 16 | 10% | ||
| 17 | 9% | ||
| 18 | 9% | ||
| 19 | 8% | ||
| 20 | 8% | ||
| 21 | 7% | ||
| 22 | 7% | ||
| 23 | 6% | ||
| 24 | 5% | ||
| 25 | 5% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
voxel51.com is the page AI reaches for most here, cited in 41% of analyzed answers.
Jumped from rank #9 to #2 between October 2025 and March 2026.
“A strong choice for speed and scalability.” → “The industry standard for full-stack, enterprise-level managed services.”
Emerged on the leaderboard in late 2025 and climbed to rank #3 by March 2026.
Dropped from rank #7 to #14 between October 2025 and March 2026.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 69% | 53% | ||
| 64% | 55% | ||
| 56% | 51% | ||
| 45% | 19% | ||
| 26% | 35% |
The two models disagree most about Encord (ChatGPT #6, Google #17) and Surge AI (ChatGPT #9, Google #18).
Labelbox maintains its lead as the most-cited data labeling platform, favored for its flexibility and workflow management. However, the most significant shift is the rapid ascent of managed service providers like Scale, iMerit, and CloudFactory, which now dominate recommendations for outsourced projects.
Across 1,609 AI responses, Labelbox is mentioned most, named in 55% of them, followed by Scale (48%) and SuperAnnotate (47%).
Parse measures each brand's mention rate — the share of answers naming it — across 1,609 AI responses to this market's buyer questions. Answers are collected daily and the ranking is published weekly.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
AI consistently recommends fully managed service providers for startups. While Labelbox appeared in early responses, recommendations since November 2025 have solidified around
Scale,
iMerit, and
CloudFactory for their promise of high-quality, scalable workforces.
Across the observation period, AI answers have consistently highlighted platform-first solutions for ML engineers. Labelbox and are the most frequent recommendations for their workflow automation and team management features. is reliably suggested as the primary open-source alternative for teams seeking maximum flexibility.
Brands mentioned
Brands mentioned
Across the observation period, AI answers have consistently highlighted platform-first solutions for ML engineers. Labelbox and
SuperAnnotate are the most frequent recommendations for their workflow automation and team management features.
Label Studio is reliably suggested as the primary open-source alternative for teams seeking maximum flexibility.