SuperAnnotate
SuperAnnotate is an AI data platform that unifies multimodal annotation, expert human-in-the-loop workforce services, and model evaluation (RLHF, SFT, RAG, agents) for foundation model builders and enterprise AI teams across healthcare, autonomous systems, and NLP.
- Company typePrivate
- Founded2018
- HeadquartersSan Mateo, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
What SuperAnnotate does
SuperAnnotate is an AI data platform founded in 2018 by Vahan Petrosyan and Tigran Petrosyan and headquartered in San Mateo, California. The company unifies dataset creation, curation, and model evaluation for organizations building AI systems, supporting multimodal data (image, video, text, and audio) annotation for foundation models, RLHF/SFT pipelines, RAG evaluation, and AI agent development. Its core product portfolio consists of a customizable Software Platform (Builder) for building custom annotation UIs, AI Data Services for project management and quality control, and an Expert Talent Network of vetted domain-specialist annotators (ophthalmologists, linguists, medical professionals, etc.), supplemented by an LLM Expert Workforce marketplace for GenAI-specific talent.
The underlying technology stack includes a Python SDK published on PyPI, the recently launched Agent Hub and Model Connectors (integrating Fireworks AI, AWS Bedrock, Google Vertex AI, and Databricks), and a Model Context Protocol (MCP) Server released in early 2026 that allows AI agents to update annotations and workflows with full trace visibility. The platform holds SOC 2 Type II, ISO/IEC 27001:2022, GDPR, CCPA, and HIPAA certifications, and offers native integrations with Databricks, NVIDIA, AWS, GCP, Snowflake, and IBM.
SuperAnnotate operates a hybrid go-to-market combining enterprise field sales, inside sales for mid-market, and product-led growth through the Python SDK, with cloud marketplace presence on AWS and GCP. Pricing is quote-based and not publicly disclosed, with annual billing cadence and revenue derived from SaaS subscriptions and professional/managed annotation services. The company serves foundation model builders, healthcare AI, autonomous driving and robotics, agriculture AI, and NLP/enterprise AI buyers; named customers include Databricks, GumGum, Hinge Health, Motorola Solutions, Percepto, OneCup AI, Altris AI, and Orsi Academy. The company reached $27.4M ARR while bootstrapped, then raised a $36M Series B led by Socium Ventures with NVIDIA participation (July 2024) and $13.5M from Dell Technologies Capital (July 2025).
SuperAnnotate firmographics
Firmographics- Name
- SuperAnnotate
- Legal name
- SuperAnnotate AI, Inc.
- Website
- https://superannotate.com
- Company type
- Private
- Founded year
- 2018
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Short description
- SuperAnnotate is an AI data platform that unifies multimodal annotation, expert human-in-the-loop workforce services, and model evaluation (RLHF, SFT, RAG, agents) for foundation model builders and enterprise AI teams across healthcare, autonomous systems, and NLP.
- Ownership category
- akta.pro rank
SuperAnnotate industry classification
Industry- Product category
- AI Data Annotation Platform
- NAICS
- Software Publishers (513210), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Annotation Tooling & Workflow Management (HDAAALAC)
- akta.pro secondary industry
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)
Keywords
Where SuperAnnotate is headquartered
LocationHeadquarters
- HQ city
- San Mateo
- HQ country
- United States
- HQ region
- North America
Markets served
SuperAnnotate business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure, Others
Revenue model
- SaaS Subscription: Subscription-based SaaS model with platform access for annotation and data management.
- Professional Services: Professional services for implementation, training, and managed annotation services.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Custom enterprise pricing |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels8 records
SuperAnnotate product offering
Product offeringCore offering
SuperAnnotate is an AI data platform that unifies the AI pipeline and simplifies dataset creation, curation, and model evaluation. It combines a customizable multimodal annotation software platform (Builder), AI Data Services for project management and quality control, and an Expert Talent Network that provides vetted human annotators across domains such as healthcare, linguistics, and autonomous systems. The platform supports image, video, text, and audio annotation and integrates evaluation tooling for RLHF, SFT, RAG, and AI agents.
Product overview
SuperAnnotate is a comprehensive AI data platform offering a unified portfolio of annotation tools, data services, and expert talent. The core offering consists of three main components: the Software Platform (Builder) for creating custom annotation UIs, AI Data Services for project management and quality control, and an Expert Talent Network for accessing vetted annotation teams. The platform supports multimodal data types including image, video, text (NLP), and audio annotation. Specialized solutions include Enterprise-tier offerings for large organizations and Foundation Model Builder solutions for AI research teams. Additional modules include Agent Hub for connecting external AI models, the MCP Server for agent integration, and an LLM Expert Workforce marketplace. The platform integrates with major cloud and data warehouse providers (AWS, GCP, Azure, Databricks, Snowflake) and maintains certifications including SOC 2 Type II and ISO/IEC 27001:2022.
Differentiator
Problem solved
Functional benefit
Products and services
- Software Platform (Builder) A customizable multimodal annotation platform that lets users build exact annotation UIs for their use cases, with seamless API integration and support for image, video, text, and audio annotation. Targeted at AI/ML and data teams.
- AI Data Services Project management and tracking capabilities for monitoring annotation project progress, managing workflows, and ensuring quality control across annotation teams. Offered to enterprises and foundation model builders.
- Expert Talent Network Access to vetted and professionally-managed annotation teams, including domain experts such as ophthalmologists, linguists, and medical professionals, that enterprises can hire for specialized annotation projects.
- LLM Expert Workforce Specialized marketplace offering access to LLM and GenAI experts for hire, complementing the annotation platform with talent for large language model and generative AI projects.
- Enterprise Solutions Enterprise-tier solutions designed for large organizations requiring scalable AI data pipelines with advanced security, compliance, and dedicated support features.
- Foundation Model Builder Solutions Solutions tailored for foundation model builders and AI research organizations that need high-quality training data for developing and fine-tuning large language models and multimodal AI systems.
- Agent Hub Feature integrating data agents natively into SuperAnnotate, connecting AI models from providers like Fireworks AI, AWS Bedrock, Google Vertex AI, and Databricks to accelerate data labeling and model evaluation.
- SuperAnnotate MCP Server Model Context Protocol server enabling AI agents to connect to SuperAnnotate projects via MCP tools, allowing direct updates to annotations, statuses, and workflows with full trace visibility.
- Python SDK Python SDK on PyPI (Python 3.10+) that enables developers to programmatically interact with the SuperAnnotate platform, manage projects, import/export data, and automate workflows using team-scoped authorization tokens.
Quantifiable outcome
- G2 #1 Data Annotation Platform ranking
Companies that use SuperAnnotate
Customer profileNamed customers8 records
Segments6 records
Ideal customer profiles3 records
SuperAnnotate technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration5 records
AI capability10 records
Feature8 records
SuperAnnotate partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered core.
- NVIDIAcoreStrategic partnership with NVIDIA for AI data infrastructure. NVIDIA participated in SuperAnnotate's Series B funding round. Deep integration with NVIDIA's AI ecosystem including GPU optimization and AI platform compatibility.
- DatabrickscoreIntegration partnership with Databricks for data lakehouse and MLflow compatibility. SuperAnnotate serves Databricks customers as a customer and integration partner, enabling seamless data annotation workflows within the Databricks ecosystem.
- SnowflakecoreTechnology integration partnership with Snowflake for cloud data platform compatibility. Enables joint customers to leverage SuperAnnotate annotation capabilities with Snowflake data cloud.
- AWScoreIntegration partnership with Amazon Web Services for cloud infrastructure compatibility. SuperAnnotate available on AWS marketplace with native integration to AWS AI/ML services.
- Google Cloud Platform (GCP)coreIntegration partnership with Google Cloud Platform for cloud infrastructure compatibility and Vertex AI integration. Enables annotation workflows within GCP environment.
- IBMcoreTechnology integration partnership with IBM for enterprise AI platform compatibility. Integration with IBM Watson and IBM Cloud Paks for enterprise AI deployments.
Scale indicators5 records
Recent moves6 records
Expansion highlights6 records
SuperAnnotate competitors and assessment
Company assessmentDirect peers
- Scale AI: Scale AI is the leading data annotation and RLHF platform serving foundation model labs, governments, and enterprise AI teams. It is the most direct competitor to SuperAnnotate, with overlapping multimodal annotation, RLHF/SFT, and model evaluation capabilities, and far greater capital resources.
- Labelbox: Labelbox provides a data-centric AI platform with annotation tooling, workforce management, and model evaluation for computer vision and NLP. It is a direct competitor targeting the same enterprise AI/ML buyer and overlapping use cases in image, video, and text annotation.
- Snorkel AI: Snorkel AI offers a data-centric AI platform centered on programmatic labeling, weak supervision, and LLM/agent fine-tuning workflows. It competes directly with SuperAnnotate on the model-training-data lifecycle, especially for foundation model builders.
- Encord: Encord provides a multimodal data development platform for computer vision and AI teams, with annotation, evaluation, and dataset management. It is a direct competitor with strong overlap in image/video annotation and model evaluation workflows.
- V7 (V7 Labs): V7 Labs builds an AI data platform for image, video, and document annotation with model-assisted labeling. It is a direct competitor focused on computer vision and document AI workflows, with comparable enterprise customers.
- Roboflow: Roboflow offers a computer vision annotation and model training platform widely used by developers and enterprises. It overlaps with SuperAnnotate on image and video annotation, with strong product-led adoption.
- Appen: Appen provides large-scale data annotation and data collection services across image, text, audio, and video for AI/ML teams. It competes with SuperAnnotate's Expert Talent Network and AI Data Services for enterprise annotation services spend.
Broad incumbents
- Amazon SageMaker Ground Truth: SageMaker Ground Truth is AWS's native data labeling service embedded in its broader ML platform. It is a broad incumbent offering overlapping annotation capabilities as part of a wider AWS ML portfolio, often bundled into existing AWS enterprise contracts.
- Databricks Labeling: Databricks offers data labeling and dataset management capabilities within its lakehouse/MLflow ecosystem. Although a SuperAnnotate partner, it is also a broad incumbent that could expand native labeling features that compete with SuperAnnotate's annotation workflows.
Emerging players
- Kili Technology: Kili Technology provides a data labeling platform for images, text, and video with an emphasis on workflow automation and quality control. It is an emerging player with meaningful overlap in multimodal annotation and enterprise AI workflows.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks1 record
Key highlights7 records
Customer concentration
SuperAnnotate social profiles
Digital presenceSuperAnnotate compliance and trust
Trust signalCompliance5 records
SuperAnnotate financial estimates
Financial estimateRevenue estimate
Valuation estimate
SuperAnnotate leadership team
Management profileNumber of profiles
Profiles10 records
SuperAnnotate funding detail
Funding detailFunding overview
Funding rounds6 records
Investors15 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
SuperAnnotate M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about SuperAnnotate
What does SuperAnnotate do?
SuperAnnotate is an AI data platform that unifies the AI pipeline and simplifies dataset creation, curation, and model evaluation. It combines a customizable multimodal annotation software platform (Builder), AI Data Services for project management and quality control, and an Expert Talent Network that provides vetted human annotators across domains such as healthcare, linguistics, and autonomous systems. The platform supports image, video, text, and audio annotation and integrates evaluation tooling for RLHF, SFT, RAG, and AI agents.
Is SuperAnnotate a public or private company?
SuperAnnotate is a private company. It is classified as venture growth investor backed and is currently operating.
When was SuperAnnotate founded?
SuperAnnotate was founded in 2018. It employs 101 to 250 people.
Where is SuperAnnotate based?
SuperAnnotate is headquartered in San Mateo, United States, in the North America region.
How does SuperAnnotate make money?
Two revenue lines are on record. SaaS Subscription is the primary driver. The others are professional Services.
Who are SuperAnnotate's main competitors?
Direct peers on record are Scale AI, Labelbox, Snorkel AI, Encord, V7 (V7 Labs), Roboflow and Appen. Broad incumbents are Amazon SageMaker Ground Truth and Databricks Labeling. Kili Technology is listed as an emerging player.
Does SuperAnnotate have an API?
Yes. SuperAnnotate provides a Python SDK for programmatic access to its platform. The SDK supports Python 3.10+ and is available on PyPI. It enables developers to create SAClient instances for team-scoped authorization, manage projects, import/export data, and access various platform features. Authentication uses team-specific tokens available to Team Admins on the Team Settings page. Developer documentation is at doc.superannotate.com/docs/python-sdk.
What industry is SuperAnnotate in?
SuperAnnotate's product category is AI Data Annotation Platform. Its primary akta.pro industry code is HDAAALAC, Annotation Tooling & Workflow Management, with a secondary code of HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs). Its NAICS code is 513210 and its SIC code is 7372.