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SuperAnnotate
Multimodal annotation and LLM evaluation platform for image, video, text, audio, and RLHF-style review workflows.
ML teams that need one annotation workspace for vision plus LLM evaluation or RLHF review, with structured QA.
Buyers that only want a managed labeling workforce at hyperscale, or teams that need rock-solid public self-serve rate cards before a demo.
Verdict
SuperAnnotate is a great fit for teams labeling multimodal data and running LLM evaluation or RLHF review in the same workspace. Pricing is mostly quote-led beyond a limited starter path, so it stands with other enterprise labeling platforms on commercial friction. Reviewers praise the editor, collaboration, and support; it is a credible peer to Labelbox, Encord, and Scale when you want platform depth over pure managed labor.
Score Breakdown
How SuperAnnotate scores in the categories that matter to its buyers.
Pricing
SuperAnnotate does not publish a full public rate card for Pro and Enterprise. Third-party listings and AWS Marketplace show contract packaging; treat dollars as directional until you get a quote. As of September 2026.
Model: platform subscription plus compute/usage and optional services. Public signals include a free starter path, a Starter-style per-user tier on some listings, Pro/Enterprise custom quotes, and an AWS Marketplace Pro contract around $50,000 per year plus usage overages. Exact seats, compute hours, and workforce add-ons move with the deal.
The Field at a Glance
Where SuperAnnotate ranks among Human annotation & labeling vendors we reviewed, by Overall Score and relative typical engagement cost.
SuperAnnotate scores 6.6, behind Labelbox (7.9) and Encord (7.3). Scale AI (7.4) is nearby with heavier managed-services economics. Relative typical engagement cost is mid-to-high once you leave starter packaging.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Image and video annotation | Strong | Mature editor and shortcuts. |
| LLM evaluation / RLHF | Strong | Shared review workflows. |
| Audio transcription tasks | Strong | Cited by PeerSpot reviewers. |
| Hyperscale managed labeling only | Moderate | Platform-first; services vary by deal. |
Review Excerpts
Excerpts from public reviews and forum discussions of SuperAnnotate. Paid reviews and pay-for-play sites were excluded.
“The best features SuperAnnotate offers are an easy-to-use annotation interface, support for different types of data, and project and task management. Review and quality control workflows are also some of the main features I particularly liked.”
“I am able to perform a large volume of audio transcriptions and classifications in a very short period of time, all because of the easy interface that SuperAnnotate delivers.”
“One area that can be improved is the performance when working on very large or complex projects. For larger projects, bulk task management and navigation could be more streamlined.”
Company Facts
- Founded
- 2018 (CB Insights)
- Headquarters
- San Francisco, California, United States (CB Insights)
- Total funding raised
- $73.7M (CB Insights)
- Key investors
- Base10 Partners, Dell Technologies Capital, Point Nine Capital, Berkeley SkyDeck, Glynn Capital (CB Insights)
- Website
- superannotate.com
Key Leadership
Vahan Petrosyan
Co-founder and CEO
Methodology
This page is an independent evaluation of SuperAnnotate for buyers comparing options in human annotation & labeling. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. SuperAnnotate did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria fall under it in two groups.
- Buyer outcomes (for human annotation & labeling)
- Multimodal annotation
- LLM / RLHF evaluation
- Collaboration & QA
- Large-project ops
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the use-case matrix above.
Scope
SuperAnnotate is graded here as human annotation & labeling. Criteria scores can move as more review volume and product checks are added.