CVAT.ai
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.
New check
Comparison
CVAT.ai vs SuperAnnotate
CVAT.ai and SuperAnnotate both land on Depends.
SuperAnnotate
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.
| 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
official
- CVAT Reviews . G2g2.comreview
- CVAT.ai seller page . G2g2.comreview
- CVAT on GitHubgithub.comofficial
- CVAT Online Pricingcvat.aiofficial
- CVAT Enterprise Pricingcvat.aiofficial
- Reddit: Reliable data annotation tool?reddit.comreview
- OpenCVE: CVAT CVEsapp.opencve.iosecurity
- NVD CVE-2026-44369nvd.nist.govsecurity
- GitHub advisory GHSA-w6mx-95ff-72cvgithub.comsecurity
- CVAT.ai revenue . GetLatkagetlatka.comnews
- CVAT.ai company profile . PitchBookpitchbook.comnews
- CVAT details . CheckThat.aicheckthat.ainews
- Best data labeling tools . SuperAnnotatesuperannotate.comreview
- ProMetronics case studycvat.aiofficial