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SuperAnnotate

Verified
United States
51-200 employees

SuperAnnotate provides an end-to-end platform for creating, managing, and evaluating high-quality training data for AI, with integrated annotation tools and workforce solutions.

About SuperAnnotate

SuperAnnotate is a leading AI data platform founded in 2018 by brothers Vahan and Tigran Petrosyan, alongside Davit Badalyan and Jason Liang. The company originated from Vahan's PhD research in image segmentation at KTH Royal Institute of Technology, which laid the technical foundation for the platform. Tigran, with a background in physics and biomedical imaging, joined his brother to commercialize the technology, aiming to address the growing need for efficient, high-quality data management in AI development. Headquartered in San Mateo, California, SuperAnnotate has grown to over 150 employees and has expanded its operations to the US, Europe, and Bangladesh. The platform initially focused on computer vision annotation but has since evolved into a comprehensive suite supporting multimodal AI, including computer vision, NLP, and generative AI. SuperAnnotate offers advanced tools for dataset creation, curation, model evaluation, and quality management, as well as a marketplace for managed annotation services. Its business model combines SaaS platform access with workforce solutions, serving enterprise clients such as Databricks and Canva. The company differentiates itself through its low-code, collaborative platform, robust automation, and integrated quality assurance. SuperAnnotate has raised over $53 million in funding, including a $36 million Series B round led by Databricks Ventures in 2024. The company is recognized for its innovation in AI data operations and its ability to streamline complex workflows for organizations building next-generation AI products.[2][3][4][1]

Company Intelligence

Key Differentiators

  • Unified platform for multimodal AI data operations
  • Integrated workforce marketplace for managed annotation
  • Low-code, collaborative tools for dataset creation and curation
  • Advanced quality management and automation

API & Integration

REST API SDK Batch Processing

Market Position

Enterprise Leader

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Company Overview

At a Glance

5
Capabilities
2
AI Modalities
1
Languages
1
Certifications

Compliance & Security

Certifications

GDPR claims
View Evidence →

Security Features

SSO VPC
SLA Uptime: 99.5%

AI Modalities & Capabilities

Capabilities

Training Data Mlops Consulting Synthetic Data Evals Red Teaming

AI Modalities

CV core
NLP supported

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Business & Operations

Pricing & Commercial

Pricing Models: Per Task, Project, Sku
Procurement: Medium

Operations

Workforce: 1000 (mixed)
Turnaround: 3-7d
Automation: 0.4%

Languages & Industries

Supported Languages

EN

Target Industries

Healthcare secondary
Automotive secondary
Ecommerce primary
Gaming secondary