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

Mistral AI, a Parisian startup, is making waves in the #AI community with its latest updates – Le Chat and Mistral Large, establishing itself as a significant European player in #generativeAI. 

Here's what you need to know about it!

Meet Google's #Gemma, Gemini's more robust sibling, designed to make #AI more accessible and open!

Gemma models are designed to be small, light, and quick. You can run them on your own computer. 

Unlock the potential of #AI with #OpenAI's SORA!

Discover how this innovative platform is shaping the future of #technology.

Ready to take your #AI training to the next level? Explore the game-changing benefits of #LLM Active Learning and optimize your #annotation workflow like never before!

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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