SuperAnnotate
SuperAnnotate provides infrastructure for AI teams to create, evaluate, and improve data across modalities until datasets are ready for training.
What SuperAnnotate is
SuperAnnotate provides infrastructure for AI teams to create, evaluate, and improve data across modalities until datasets are ready for training. Its supported modalities include RL environments, RLHF, images, video, audio, LiDAR, and custom data. Agentic AI features let models pre-label data, judge rubrics, and score pass rates, with workflows routing work between models and human experts. Teams can configure workflows, roles, and quality gates, then use dashboards and project and contributor analytics. The platform offers a Python SDK and API for programmatic access, as well as model-assisted labeling and team collaboration. Dataset integrations include AWS, Google Cloud, Azure, Snowflake, Databricks, and custom storage. External storage connections are read-only and do not automatically import newly added files. SuperAnnotate lists SOC 2 Type II audited controls and an ISO 27001:2022 certified information security management system. It was founded in 2018 and is headquartered in Silicon Valley. The product is paid, with pricing available on request; plans are listed for small projects, scaling AI projects, and recurring high-volume work.
Good
- Supports image, video, audio, LiDAR, and custom modalities
- Models can pre-label data and score pass rates
- Includes workflows, roles, and quality gates
- Offers a Python SDK and API
- Provides project and contributor analytics
Watch out
- External storage connections are read-only
- New connected-storage files are not imported automatically
- Pricing is available on request
Who it suits
SuperAnnotate suits AI teams preparing and managing datasets across varied modalities. Its workflows, analytics, APIs, and collaboration features may fit teams coordinating models and human experts.
Verdict
SuperAnnotate combines multimodal data workflows with model and human collaboration, analytics, and programmatic access. Teams using connected external storage should account for its read-only behavior and lack of automatic imports for new files.
Plans and prices
From SuperAnnotate's own pricing page, checked 9 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Enterprise | Priced on request | For recurring, high-volume AI projects · includes Orchestrate (10K compute hours) · SSO · dedicated Slack channel, customer success manager, and solutions engineer · AI DataOps consulting |
| Pro | Priced on request | For scaling AI projects and MLOps · includes Orchestrate (2.5K compute hours) · SSO · dedicated Slack channel and customer success manager |
| Starter | Priced on request | For small projects · includes Orchestrate (1K compute hours) · platform onboarding |
The facts
Each one read from SuperAnnotate's own pages, with the date it was checked.
What it does
- Agentic AI
- Models can pre-label data, judge rubrics, and score pass rates, with workflows routing items between models and human experts.checked 9 Oct 2026
- Annotation modalities
- The platform supports RL environments, RLHF, image, video, audio, LiDAR, and custom modalities.checked 9 Oct 2026
- Data management
- The platform includes configurable workflows, roles, quality gates, dashboards, and project and contributor analytics.checked 9 Oct 2026
- Integration limit
- External storage integrations provide read-only access and do not automatically import new files added to the connected storage.checked 9 Oct 2026
- Integrations
- Listed dataset integrations include AWS, Google Cloud, Azure, Snowflake, Databricks, and custom storage; the company also lists NVIDIA, AWS, Databricks, GCP, Snowflake, and IBM partnerships.checked 9 Oct 2026
- Privacy
- The security page describes privacy programs designed to support applicable GDPR requirements and controls addressing applicable California privacy requirements.checked 9 Oct 2026
- Purpose
- SuperAnnotate provides infrastructure for AI teams to create, evaluate, and improve data across modalities until datasets are training-ready.checked 9 Oct 2026
- SDK and API
- SuperAnnotate offers a Python SDK and API for programmatic platform access; the SDK documentation says it supports Python 3.10+ and was tested on Linux and Windows.checked 9 Oct 2026
- Security certifications
- The security page states that SuperAnnotate has SOC 2 Type II independently audited controls and an ISO 27001:2022 certified information security management system.checked 9 Oct 2026
- Security controls
- Described safeguards include encryption in transit and at rest, restricted production access, security event alerting, annual penetration testing, and an incident response plan.checked 9 Oct 2026
- Support
- The Pro and Enterprise plans list a dedicated Slack channel and dedicated customer success manager; Enterprise also lists a dedicated solutions engineer.checked 9 Oct 2026
Where it runs
- Browser and system requirements
- The platform is optimized for Google Chrome; documented minimum operating systems are Windows 10 or higher and macOS Monterey or later.checked 9 Oct 2026
The company
- Company history
- The company says it was founded in August 2018 and moved its headquarters to Silicon Valley in January 2019.checked 9 Oct 2026
- Founded
- 2018checked 28 Sep 2026
- Headquarters
- Silicon Valleychecked 28 Sep 2026
Alternatives to SuperAnnotate
- 1
Roboflow
Free planAndroidiOSWebAPI8.3From $39 a month - 2
Label Studio
Free planOpen sourceWebAPILinuxmacOS8.2From $99 a month - 3
VGG Image Annotator
Free planOpen sourceWebLinuxmacOSSelf-hosted7.7Free plan - 4
MakeSense.ai
Free planOpen sourceWebLinuxmacOSSelf-hosted7.6Free plan - 5
COCO Annotator
Free planOpen sourceWebAPILinuxSelf-hosted7.4Free plan - 6
Prodigy
WebAPILinuxmacOS7.0$390 one-time