ClearMLThe Infrastructure Platform For AI Builders
vs
SuperAnnotateThe AI data infra built for production
Comparison · MLOps Platforms · weekly run Nov 2
ClearML vs SuperAnnotate
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
ClearML is the stronger AI pick in MLOps Platforms: it has a visibility score of 20.6 versus 2.1 for SuperAnnotate, and ranks ahead in 0% of the answers that name both.
Choose ClearML if…
- You want the brand AI engines rank higher (20.6 vs 2.1)
- You want a free plan to start
- You need a self-hosted or on-premises option
- Per seat pricing suits your budget better than flat tiers
Choose SuperAnnotate if…
- You need SOC 2 Type II or ISO 27001:2022 coverage
- Flat tiers pricing suits your budget better than per seat
- high rating from many reviews
- well suited to data labeling and annotation workflows
AI visibility side by side
Latest weekly run · Nov 2
| Metric | ClearML | SuperAnnotate |
|---|---|---|
| Visibility score | 20.6% | 2.1% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #8 | #28 |
| Share of voice | 4.5% | 0.3% |
| Mentions this run | 30 | 2 |
| Positive in AI answers | 43% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
ClearML 0pp · SuperAnnotate 0pp over 0 weekly runs.
Engine by engine
ClearML leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
ClearMLSuperAnnotate
Head to head in AI answers
1 engine answers name both brands
0ClearML ranked higher
1SuperAnnotate ranked higher
| Prompt | Engine | ClearML | SuperAnnotate |
|---|---|---|---|
| Which MLOps platform has the best reviews? | Perplexity | #6 | #2 |
Features, pricing & fit
| Dimension | ClearML | SuperAnnotate |
|---|---|---|
| Pricing model | Per seat | Flat tiers |
| Entry price | Free; paid from $15 per seat / mo | Contact sales |
| Free plan | Yes | No |
| Deployment | Hosted servers, self-hosted, or a managed service in a VPC, on-premises (including air-gapped) or hybrid. | — |
| Compliance | — | SOC 2 Type II, ISO 27001:2022 |
| Support | Dedicated Slack channel (Scale), Standard SLA (Scale), White-glove support with custom SLA (Enterprise), Professional services (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 | 2016 | 2018 |
| Headquarters | Tel Aviv, Israel | Silicon Valley, California |
| Employees | 11–50 | — |
| Funding | Series B (reported for parent Allegro AI, unverified, led by New Enterprise Associates) · $16M raised | Series B extension (Dell Technologies Capital) · $50M raised |
| Best for | Individuals, researchers and small teams on the free plan, growing AI teams on Pro, and enterprises running GPU clusters for multiple large projects. | Frontier AI teams and well-established enterprises running recurring, high-volume AI data projects. |
Plans side by side
ClearML
Community$0month
Pro$15user/month + usage
ScaleCustomcustom quote
EnterpriseCustomcustom quote
Pros and cons
Themes from the AI answers that mention each brand
ClearML
- open-source flexibility
- transparent, clear pricing with a free self-hosted tier
- end-to-end MLOps coverage in one platform
- GPU orchestration and pipeline automation
- affordable choice for cost-conscious teams
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, “ClearML vs SuperAnnotate”, https://slateindex.ai/compare/clearml-vs-superannotate, data of Nov 2, 2026. Licence: CC BY 4.0.