# SuperAnnotate

> AI data platform and expert services for multimodal labeling, RLHF, RL environments, agent trajectory annotation, and model evaluation.

SuperAnnotate, founded in 2018 and based in Silicon Valley, provides a platform, expert network, and managed services for producing AI training and evaluation data. Teams use it to label and evaluate text, image, video, audio, and LiDAR data, run RLHF and SFT workflows, and annotate agent trajectories.

## What It Is

SuperAnnotate is an AI data infrastructure and services company. Its platform covers multimodal labeling, agentic AI workflows (using models for pre-labeling and judging), data management (workflows, roles, quality gates, dashboards), and data orchestration (triggers that route work between models and experts). It is paired with an expert talent network and managed operations, and with data products such as RL environments, benchmark datasets, and data partnerships.

## Explore and Orchestrate

The Explore module supports dataset curation through vector-based similarity search and natural language search, filtering by annotations, predictions, and metadata. One-shot annotation suggests similar instances of a selected polygon or bounding box across a dataset, and batch classification applies classes to items in bulk. Orchestrate lets users define custom Python actions, such as writing annotations, applying QA rules, running models, or using LLM judges, and run them from Explore. Review tools include approve/disapprove/reclassify, task assignment, and a rating system for LLM actions. Dashboards show analytics, and subsets can be shared through signed URLs with recipients who need no license.

## Agents and Integrations

A SuperAnnotate MCP Server connects AI agents to projects so they can update annotations, statuses, and workflows with trace visibility. The company lists partnerships with Databricks, NVIDIA, Google Cloud, and AWS. The site states SOC 2 Type II and ISO 27001 compliance, and says customers keep ownership of their data and workflows.

## Features
- Multimodal labeling for text, image, video, audio, and LiDAR
- RLHF and SFT data workflows
- RL environments and reward systems
- Agent trajectory annotation and evaluation
- Vector and natural language dataset search
- One-shot annotation and batch classification
- Custom Python actions via Orchestrate
- Quality review tools, rating system, and analytics dashboards
- Shareable subsets via signed URLs
- Expert talent network and managed operations
- Benchmark datasets
- MCP server for agent access to projects

## Integrations
Databricks, NVIDIA, Google Cloud, AWS, IBM watsonx, Snowflake, MCP

## Platforms
WEB, API

## Pricing
Paid

## Links
- Website: https://www.superannotate.com
- Documentation: https://doc.superannotate.com/docs/introduction
- EveryDev.ai: https://www.everydev.ai/tools/superannotate