Developer docs
API playgroundTry for free, no card

Search company profiles

SuperAnnotate

Full company profile

uuid00006fa

Namestring
SuperAnnotate
Legal namestring
SuperAnnotate AI, Inc.
Company typeenum
Private
Founded yearint
2018
Descriptiontext

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).

Short descriptiontext

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.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
101–250
akta.pro rankint
HeadquartersSan Mateo, United States
HQ citystring
San Mateo
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Keyword5 values
data annotation platform, AI training data, multimodal annotation, RLHF evaluation services, expert annotation workforce
Industry2 codes
1Annotation Tooling & Workflow Management
CodeHDAAALACPrimaryYes
2Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs)
CodeHDAEANAHPrimaryNo
NAICS code2 codes
  • Software Publishers513210
  • Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services518210
SIC code2 codes
  • Services-Prepackaged Software7372
  • Services-Computer Programming, Data Processing, Etc.7370
Product category
AI Data Annotation Platform
GTM motion3 records

Each record includes

Type, Description, Source

Revenue model2 records
1SaaS Subscription
TypeSubscription Recurring
Description

Subscription-based SaaS model with platform access for annotation and data management.

2Professional Services
TypeProfessional Services
Description

Professional services for implementation, training, and managed annotation services.

Marketing channels8 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels4 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components6 values
Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure, Others
Pricing details1 tier
1Custom enterprise pricing
ModelSubscriptionBilling cadenceAnnual
Notes

Pricing is quote-based and not publicly disclosed. Volume discounts may be available for enterprise commitments.

GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

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.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 value
  • G2 #1 Data Annotation Platform ranking
Product overview1 text field

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.

Product and service9 records
1Software Platform (Builder)
CategoryAI Data Annotation Software
Description

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.

2AI Data Services
CategoryManaged Data Annotation Services
Description

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.

3Expert Talent Network
CategoryAnnotation Workforce Marketplace
Description

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.

4LLM Expert Workforce
CategoryGenAI Talent Marketplace
Description

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.

5Enterprise Solutions
CategoryEnterprise Solution Tier
Description

Enterprise-tier solutions designed for large organizations requiring scalable AI data pipelines with advanced security, compliance, and dedicated support features.

6Foundation Model Builder Solutions
CategoryFoundation Model Solution Tier
Description

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.

7Agent Hub
CategoryAI Agent Integration Module
Description

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.

8SuperAnnotate MCP Server
CategoryAI Agent Integration Module
Description

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.

9Python SDK
CategoryDeveloper Tool
Description

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.

Scale indicator5 records

Each record includes

Type, Value, Description, Source

Partnership6 partners
Strategic tierCoreTypeTechnology or Integration
Description

Strategic 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.

Strategic tierCoreTypeTechnology or Integration
Description

Integration 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.

Strategic tierCoreTypeTechnology or Integration
Description

Technology integration partnership with Snowflake for cloud data platform compatibility. Enables joint customers to leverage SuperAnnotate annotation capabilities with Snowflake data cloud.

4AWS
Strategic tierCoreTypeTechnology or Integration
Description

Integration partnership with Amazon Web Services for cloud infrastructure compatibility. SuperAnnotate available on AWS marketplace with native integration to AWS AI/ML services.

Strategic tierCoreTypeTechnology or Integration
Description

Integration partnership with Google Cloud Platform for cloud infrastructure compatibility and Vertex AI integration. Enables annotation workflows within GCP environment.

Strategic tierCoreTypeTechnology or Integration
Description

Technology integration partnership with IBM for enterprise AI platform compatibility. Integration with IBM Watson and IBM Cloud Paks for enterprise AI deployments.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeBroad incumbent
Description

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.

TypeBroad incumbent
Description

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.

TypeEmerging player
Description

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

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat6 records

Each record includes

Type, Details

Key risks1 record

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers8 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment6 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration5 records

Each record includes

Title, Type, Description, Source

AI capability10 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature8 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles10 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
Compliance5 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds6 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors15 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

SuperAnnotate

AI Data Annotation Platformsuperannotate.com

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.

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

  • Data annotation platform
  • AI training data
  • Multimodal annotation
  • RLHF evaluation services
  • Expert annotation workforce

Where SuperAnnotate is headquartered

Location

Headquarters

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

  1. SaaS Subscription: Subscription-based SaaS model with platform access for annotation and data management.
  2. Professional Services: Professional services for implementation, training, and managed annotation services.

Pricing tiers

ModelBillingPrice
SubscriptionAnnualCustom enterprise pricing

Go-to-market motion3 records

Distribution channels4 records

Marketing channels8 records

SuperAnnotate product offering

Product offering

Core 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 profile

Named customers8 records

Segments6 records

Ideal customer profiles3 records

SuperAnnotate technology and API

Technology

Technology 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 signal

Partnerships

Six partnerships are on record, tiered core.

  • NVIDIAcoreTechnology or IntegrationStrategic 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.
  • DatabrickscoreTechnology or IntegrationIntegration 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 or IntegrationTechnology integration partnership with Snowflake for cloud data platform compatibility. Enables joint customers to leverage SuperAnnotate annotation capabilities with Snowflake data cloud.
  • AWScoreTechnology or IntegrationIntegration 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)coreTechnology or IntegrationIntegration partnership with Google Cloud Platform for cloud infrastructure compatibility and Vertex AI integration. Enables annotation workflows within GCP environment.
  • IBMcoreTechnology or IntegrationTechnology 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 assessment

Direct 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 presence

SuperAnnotate compliance and trust

Trust signal

Compliance5 records

SuperAnnotate financial estimates

Financial estimate

Revenue estimate

Valuation estimate

SuperAnnotate leadership team

Management profile

Number of profiles

Profiles10 records

SuperAnnotate funding detail

Funding detail

Funding 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 investment

M&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.

Unlock the full company data

50 free credits on sign-up, no credit card required.

Contact sales
Live signals
Learn Hub8 Best Data Labeling Tools I Evaluated for 2026G2 published a buyer's guide evaluating eight data labeling platforms for AI and machine learning workflows, covering Roboflow, SuperAnnotate, Labelbox, Encord, Keymakr, V7 Darwin, Dataloop, and Clarifai. The article assesses each tool against criteria including annotation quality, AI-assisted labeling, multimodal data support, human-in-the-loop workflows, scalability, and MLOps integrations, drawing on G2 user reviews and satisfaction ratings. Each platform is positioned for different use cases such as computer vision workflows, enterprise-grade labeling, LLM training, multimodal annotation, and automated data labeling.TipranksSuperAnnotate Highlights Role of Reinforcement Learning Environments in AI TrainingSuperAnnotate, an AI training infrastructure company, is highlighting the importance of reinforcement learning environments in improving AI agent performance on real-world tasks through realistic simulations, reward systems, and human-defined success metrics. The company positions this focus on robust RL environments as a strategy to differentiate itself from generic AI tooling providers and support premium pricing. This strategic emphasis aims to deepen customer integration and strengthen SuperAnnotate's competitive position in the broader AI development and data annotation ecosystem.SuperannotateBest GenAI fine-tuning tools for enterprises [2026]This article is a comparative review of four enterprise GenAI fine-tuning tools—SuperAnnotate, Scale AI, Labelbox, and Dataloop—evaluating them across dimensions including customizability, marketplace capabilities, analytics, QA, project management, integrations, automation, and pricing. The article positions SuperAnnotate as the most comprehensive solution for large-scale, complex enterprise AI initiatives, while noting that the other three tools address different needs with varying levels of customization and workforce support. The piece is framed around the challenge enterprises face in scaling GenAI without reliable, high-quality data, positioning these tools as critical enablers for differentiation.SuperannotateDomain-Specific LLMs (Large Language Models)The article provides a comprehensive guide on building and deploying domain-specific Large Language Models (DSLMs) to address the limitations of general-purpose AI in specialized industries. It outlines key technical approaches such as fine-tuning, transfer learning, and retrieval-augmented generation, while emphasizing the critical role of high-quality, expert-validated data. SuperAnnotate is highlighted as a platform facilitating data curation, annotation, and model evaluation for enterprises adopting these technologies.Superannotate30 best data labeling tools [2025 Q3 Updated]The article presents a ranked list of the top 30 data labeling tools for 2025, based on G2 marketplace ratings and user reviews. It details the features, company histories, security certifications, and pricing models of leading platforms such as SuperAnnotate, Appen, Labelbox, and Amazon SageMaker Ground Truth. The content highlights the growing importance of these tools in streamlining data preparation and annotation for machine learning pipelines.HpcwireData Science • AI • Advanced AnalyticsSuperAnnotate, a company specializing in data annotation for AI training, focuses on creating high-quality training data through annotation, evaluation, and data operations automation. Founded in 2018 by Vahan and Tigran Petrosyan, it has integrated its platform with major data providers and adopted AI models to improve data quality and model performance, notably involving large companies like Nvidia.SoftageTop 20 Data Labeling Tools to Upgrade Your AI Projects [2025 Edition]The article presents a curated list of the top 20 data labeling tools designed to support AI project development, highlighting platforms such as SuperAnnotate, Encord, and Dataloop. It details the specific capabilities of each tool, including AI-assisted annotation, multi-format support, and integration with machine learning workflows. The piece serves as a comparative resource for organizations seeking to upgrade their data management infrastructure.SuperannotateVertical AI agents: Why they’ll replace SaaS and how to stay relevantThe article discusses the emerging trend of vertical AI agents as specialized systems designed to replace traditional SaaS platforms by handling specific industry tasks with greater efficiency. It highlights companies like Writer, Agentic, and Sierra as key players in this space and notes that SuperAnnotate provides the data infrastructure necessary for building these agents. The piece suggests this shift could create a market worth over $300 billion by automating complex workflows in sectors such as healthcare, finance, and customer service.QwakTop 13 ML Data Labeling Tools and Software in 2024A blog post by Pavel Klushin, Head of Solution Architecture at Qwak, published December 23, 2022, outlines what machine learning data labeling is, how to choose a labeling tool, and why Qwak's platform is recommended. It names tools such as Label Studio, Amazon SageMaker Ground Truth and Superannotate, and promotes Qwak's Feature Store and ML Platform for model deployment.MarkTechPostTop Low/No Code AI Tools 2024A list of low/no-code AI tools for 2024 includes MakeML, Obviously AI, SuperAnnotate, Teachable Machine, and others. These platforms enable machine learning model creation, training, and deployment without coding, using drag-and-drop interfaces. They support tasks like object recognition, forecasting, and data annotation.