CVAT.ai vs SuperAnnotate

CVAT.ai and SuperAnnotate both land on Depends.

CVAT.ai

cvat.ai

Analyzed September 24, 2026

Depends

Confidence: Medium

Buy if your team labels images, video, or 3D data regularly and wants AI-assisted annotation with QA workflows and a free self-hosted option.

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SuperAnnotate

superannotate.com

Analyzed September 26, 2026

Depends

Confidence: Medium

Buy if you run serious ML data operations at scale and can handle enterprise contracting . case studies with Databricks and ServiceNow back the claim.

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CVAT.ai versus SuperAnnotate
Compare	CVAT.ai	SuperAnnotate
Verdict	Depends	Depends
Best for	Computer vision teams labeling images/video/3D	ML teams labeling data at production scale
Who it's not for	Solo users with one-off, small labeling jobs	Small teams labeling a few thousand images . heavy overkill
Privacy	Open-source with public security policy, but 16 CVEs tracked since 2025, including XSS and missing-authorization flaws . patch self-hosted installs promptly.¹¹	No known public vulnerabilities found in the sources reviewed.
Support quality	Docs and academy strong; engineers for enterprise	No usable support evidence found
Public sentiment	Users rate CVAT 4.5/5 on G2, favoring its AI and polygon tools for quality datasets, though some Reddit users hunt alternatives for video annotation.^²	Buyer-side reviews on G2 and AWS are broadly positive about the annotation tooling, while annotator-side Reddit and Glassdoor threads complain about the SME program's pay and recruiting.
Biggest gotcha	Steady CVE stream: patch self-hosted deployments quickly¹⁰	Pricing is quote-based; expect enterprise negotiation, not a checkout page

Pick CVAT.ai when

Computer vision teams labeling images/video/3D
ML teams needing QA and review workflows
Teams wanting open-source self-hosting
Orgs outsourcing labeling to experts

When CVAT.ai is not a fit

Solo users with one-off, small labeling jobs
Guess: NLP, audio, or tabular data labeling projects
Buyers with no DevOps help who want turnkey SaaS
Teams without an ML pipeline to feed

Pick SuperAnnotate when

ML teams labeling data at production scale
Enterprise AI platforms needing SOC 2 vendors
LLM evaluation and fine-tuning data pipelines
Computer vision and NLP annotation programs

When SuperAnnotate is not a fit

Small teams labeling a few thousand images . heavy overkill
Buyers wanting transparent, self-serve pricing
Non-ML teams; this is not a generic data tool
Anyone unwilling to manage enterprise contracts and onboarding

Sources

CVAT: Data Annotation Platform for Vision AIcvat.ai
official
CVAT Reviews . G2g2.com
review
CVAT.ai seller page . G2g2.com
review
CVAT on GitHubgithub.com
official
CVAT Online Pricingcvat.ai
official
CVAT Enterprise Pricingcvat.ai
official
Community vs CVAT Online changelogcvat.ai
official
Reddit: Reliable data annotation tool?reddit.com
review
OpenCVE: CVAT CVEsapp.opencve.io
security
NVD CVE-2026-44369nvd.nist.gov
security
GitHub advisory GHSA-w6mx-95ff-72cvgithub.com
security
CVAT.ai revenue . GetLatkagetlatka.com
news
CVAT.ai company profile . PitchBookpitchbook.com
news
CVAT details . CheckThat.aicheckthat.ai
news
Best data labeling tools . SuperAnnotatesuperannotate.com
review
ProMetronics case studycvat.ai
official