Roboflow vs SuperAnnotate
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
SuperAnnotate is the stronger AI pick in MLOps Platforms: it has a visibility score of 2.1 versus 1.7 for Roboflow, and ranks ahead in 100% of the answers that name both.
Choose Roboflow if…
- You want a free plan to start
- You need a self-hosted or on-premises option
- You need SOC 2 or HIPAA coverage
- Usage-based pricing suits your budget better than flat tiers
Choose SuperAnnotate if…
- You want the brand AI engines rank higher (2.1 vs 1.7)
- You need SOC 2 Type II or ISO 27001:2022 coverage
- Flat tiers pricing suits your budget better than usage-based
- high rating from many reviews
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Roboflow | SuperAnnotate |
|---|---|---|
| Visibility score | 1.7% | 2.1% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #33 | #28 |
| Share of voice | 0.3% | 0.3% |
| Mentions this run | 2 | 2 |
| Positive in AI answers | 50% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Roboflow 0pp · SuperAnnotate 0pp over 0 weekly runs.
Engine by engine
SuperAnnotate leads on 3 of 3 engines
Head to head in AI answers
2 engine answers name both brands
| Prompt | Engine | Roboflow | SuperAnnotate |
|---|---|---|---|
| Which MLOps platform has the best reviews? | ChatGPT | #3 | #2 |
| Which MLOps platform has the best reviews? | Perplexity | #3 | #2 |
Features, pricing & fit
| Dimension | Roboflow | SuperAnnotate |
|---|---|---|
| Pricing model | Usage-based | Flat tiers |
| Entry price | Free; paid from $39 / mo | Contact sales |
| Free plan | Yes | No |
| Deployment | Roboflow-hosted cloud, dedicated deployments, or self-hosted with Inference on your own hardware, including air-gapped options on Enterprise plans. | — |
| Integrations | 51+ | — |
| Compliance | SOC 2, HIPAA | SOC 2 Type II, ISO 27001:2022 |
| Support | Email and chat support, Ticket support, Named Customer Support Engineer on Enterprise, 24x7 support with SLA on Enterprise | Dedicated Slack channel (Pro and Enterprise plans), Dedicated customer success manager (Pro and Enterprise plans), Dedicated solutions engineer (Enterprise plan), AI DataOps consulting (Enterprise plan) |
| Founded | 2020 | 2018 |
| Headquarters | Remote, United States | Silicon Valley, California |
| Employees | 51–200 | — |
| Funding | Series B · $62M raised | Series B extension (Dell Technologies Capital) · $50M raised |
| Best for | Developers and technical founders building vision applications, and enterprise AI, operations and engineering teams running vision AI on physical operations. | Frontier AI teams and well-established enterprises running recurring, high-volume AI data projects. |
Plans side by side
Pros and cons
Themes from the AI answers that mention each brand
Roboflow
Profile in progress.
SuperAnnotate
- high rating from many reviews
- well suited to data labeling and annotation workflows
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Roboflow vs SuperAnnotate”, https://slateindex.ai/compare/roboflow-vs-superannotate, data of Nov 2, 2026. Licence: CC BY 4.0.