Inside SuperAnnotate

SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data. With advanced annotation and QA tools, data curation, automation features, native integrations, and data governance, we enable enterprises to build datasets and successful ML pipelines. Partner with SuperAnnotate’s expert and professionally managed annotation workforce that can help you quickly deliver high-quality data for building top-performing models.

Berkeley SkyDeck Fund

SmartGateVC

Granatus Ventures

Fathom Capital

Runa Capital

Point Nine

Base10 Partners

Plug and Play

SuperAnnotate

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Google Apps for Business

Amazon Route 53

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Amazon Oregon Region

OzServers

Vice President of Business Development, Co-Founder

Jason Liang

Business Management

Tigran Petrosyan

Co-Founder, CEO

Vahan Petrosyan

Human Resources

Susanna Keyan

Information Technology

David Hovhannisyan

Senior Software Engineering Manager

Davit Avagyan

Engineering

Karen Yazbaryan

ML Project Manager

Roza Isoyan

Customer Success Engineer

Satenik Safaryan

Head of Service Operations & Marketplace

Sharek Roomy

Hovhannes Avoyan

Trevor Darrell

Ming-Ming Cheng

Pieter Abbeel

Gary Bradski

Co-Founder and President

Wade Brogdon

Head Of Sales

Director Of Service Operations & Marketplace

Dan Gilormo

Sales Operations and Strategy

Tigran Hakobyan

Director of Marketing

Stefan Radisavljevic

Head of Product

Davit Badalyan

Co-founder & CTO

CEO and Co-Founder

United States Companies With Less Than $1B in Revenue (Top 10K)

Western US Companies With Fewer Than 100 Employees (Top 10K)

San Francisco Bay Area Companies With More Than 10 Employees (Top 10K)

Companies With Less Than $500M in Revenue (Top 10K)

SuperAnnotate is the world's leading platform for building the highest-quality training datasets for Generative AI, LLMs, Computer vision, and NLP. With advanced tooling and QA, ML and automation features, data curation, Orchestration, and integrated workforce marketplace, we enable machine learning teams to build and manage incredibly accurate datasets and successful ML pipelines 10x faster.

Socium Ventures

Series B - SuperAnnotate

Series A - SuperAnnotate

Seed Round - SuperAnnotate

Pre Seed Round - SuperAnnotate

San Mateo

California

United States

North America

Data Labeling Tools Market See Huge Growth for New Normal ...

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Armenia’s Deep-Tech Dream

Data Annotation Tools Market Size Growing at 27% CAGR Set ...

Armenia’s TUMO offers teen geeks a path to tech success

A platform that unifies AI pipeline processes such as dataset creation, curation, and model evaluation.

Tools for creating annotations with increased speed and reduced error for improved accuracy.

Features for building, managing, and ensuring the quality of datasets for AI models.

Automates tasks in ML pipelines to increase project efficiency, including task automation, visualization, and custom actions.

Provides access to UI functionalities at scale for project setup, data management, and model training.

Automates the annotation process and allows for model fine-tuning based on datasets.

Kenya

Africa

Ireland

Europe

India

Asia

Lao People's Democratic Republic

HTML5

HubSpot Marketing Hub

Google Analytics

Google Drive

Vimeo

HubSpot Forms

Google Tag Manager

jQuery

Dataloop is a competitor of SuperAnnotate, providing AI platform solutions for data labeling and management.

Dataloop

Labelbox is a competitor of SuperAnnotate, specializing in AI data labeling and management platforms.

Labelbox

Hive is a competitor of SuperAnnotate, offering AI platform solutions for data management and model iteration.

Hive

Snorkel AI is a competitor of SuperAnnotate, focusing on data-centric AI and programmatic data labeling.

Snorkel AI

SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing AI models faster with high-quality training data. It provides advanced annotation capabilities, data curation and QA tools, automation features, native integrations, and data governance for enterprises to build datasets and successful ML pipelines.

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