SuperAnnotate

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What SuperAnnotate is

SuperAnnotate provides infrastructure for AI teams to prepare, evaluate, and improve data for model training. It handles RL environments, RLHF, images, video, audio, LiDAR, and custom modalities. Annotation options include classification, key points, bounding boxes, polygons, polylines, tiled imagery, cuboids, and skeletons. Models can pre-label data, assess rubrics, and score pass rates, while workflows can send items between models and human experts. Teams can configure workflows, roles, and quality gates, and use dashboards and project and contributor analytics to manage work. The platform includes collaboration, model-assisted labeling, API access, and a Python SDK. Dataset connections include AWS, Google Cloud, Azure, Snowflake, Databricks, and custom storage. Exports are available in SuperAnnotate JSON, JSONL, and CSV formats. The company was founded in 2018 and is headquartered in Silicon Valley. SuperAnnotate is available on web, macOS, Windows, and through an API; the platform is optimized for Google Chrome. Pricing is on request. Plans include Starter for small projects, Pro for scaling projects and MLOps, and Enterprise for recurring, high-volume projects, with different Orchestrate compute-hour allocations and support options.

Who it suits

SuperAnnotate suits AI teams preparing varied data types for training, including teams using model-assisted labeling, configurable review workflows, and human expert routing. Its API, SDK, analytics, and plan-specific support options also fit teams managing projects programmatically or at scale.

What it does well

Supports images, video, audio, LiDAR, RLHF, and custom modalities.
Models can pre-label data and evaluate rubrics and pass rates.
Includes configurable workflows, roles, and quality gates.
Offers Python SDK and API access.
Exports datasets as SuperAnnotate JSON, JSONL, and CSV.

What to know first

Pricing is available on request.
External storage connections are read-only.
New files in connected storage are not imported automatically.

Limits

Starter includes 1K Orchestrate compute hours, Pro includes 2.5K, and Enterprise includes 10K. External storage integrations are read-only and do not automatically import new files added to connected storage.

Plans

Plan	Billed and limits	Price
Pro	For scaling AI projects and MLOps · includes Orchestrate (2.5K compute hours) · SSO · dedicated Slack channel and customer success manager	On request
Enterprise	For recurring, high-volume AI projects · includes Orchestrate (10K compute hours) · SSO · dedicated Slack channel, customer success manager, and solutions engineer · AI DataOps consulting	On request
Starter	For small projects · includes Orchestrate (1K compute hours) · platform onboarding	On request

As superannotate.com lists them, read 9 Oct 2026. The maker's own page has the final word.

Getting started

Visit the SuperAnnotate website.
Choose Starter, Pro, or Enterprise based on the listed project type and plan features.
Use the web platform or a supported macOS or Windows environment.
Use the Python SDK or API for programmatic platform access.

Verdict

Choose SuperAnnotate if your AI team needs annotation across multiple modalities, model-assisted workflows, and analytics for managing contributors and projects. Look elsewhere if automatic ingestion from connected external storage is essential, since those integrations are read-only and do not import newly added files automatically.

Questions

How much does SuperAnnotate cost?

SuperAnnotate is paid, and pricing is available on request.

What plans are available?

Starter is for small projects and includes 1K Orchestrate compute hours and platform onboarding. Pro includes 2.5K hours, SSO, a dedicated Slack channel, and a dedicated customer success manager; Enterprise includes 10K hours, those support options, a dedicated solutions engineer, and AI DataOps consulting.

Which platforms does SuperAnnotate support?

The listed platforms are API, macOS, web, and Windows. The documented minimum operating systems are Windows 10 or higher and macOS Monterey or later.

Can SuperAnnotate connect to external storage?

Listed dataset integrations include AWS, Google Cloud, Azure, Snowflake, Databricks, and custom storage. These external storage connections are read-only and do not automatically import newly added files.

Does SuperAnnotate provide an API or SDK?

Yes. SuperAnnotate offers an API and Python SDK; the SDK documentation says it supports Python 3.10+ and was tested on Linux and Windows.

What security certifications does SuperAnnotate describe?

Its security page states that it has SOC 2 Type II independently audited controls and an ISO 27001:2022 certified information security management system.

Facts from SuperAnnotate's own pages

Agentic AI: Models can pre-label data, judge rubrics, and score pass rates, with workflows routing items between models and human experts. · superannotate.com, 9 Oct 2026
Annotation modalities: The platform supports RL environments, RLHF, image, video, audio, LiDAR, and custom modalities. · superannotate.com, 9 Oct 2026
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. · doc.superannotate.com, 9 Oct 2026
Company history: The company says it was founded in August 2018 and moved its headquarters to Silicon Valley in January 2019. · superannotate.com, 9 Oct 2026
Data management: The platform includes configurable workflows, roles, quality gates, dashboards, and project and contributor analytics. · superannotate.com, 9 Oct 2026
Founded: 2018 · superannotate.com, 28 Sept 2026
Headquarters: Silicon Valley · superannotate.com, 28 Sept 2026
Integration limit: External storage integrations provide read-only access and do not automatically import new files added to the connected storage. · doc.superannotate.com, 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. · superannotate.com, 9 Oct 2026
Privacy: The security page describes privacy programs designed to support applicable GDPR requirements and controls addressing applicable California privacy requirements. · superannotate.com, 9 Oct 2026
Purpose: SuperAnnotate provides infrastructure for AI teams to create, evaluate, and improve data across modalities until datasets are training-ready. · superannotate.com, 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. · doc.superannotate.com, 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. · superannotate.com, 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. · superannotate.com, 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. · superannotate.com, 9 Oct 2026