SuperAnnotate (@superannotate) header
SuperAnnotate (@superannotate) profile picture

The leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data.

San Francisco, CA
Joined June 2019
The floor is buzzing at AWS re:Invent! 📍Meet us at Booth 1022 with NVIDIA. #AWSreInvent #SuperAnnotate #NVIDIA
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📣 We’re at re:Invent this week and excited to welcome you at Booth 1022 together with NVIDIA. You can meet our founders, explore the latest developments, and learn how our partnership with NVIDIA shapes the next phase of enterprise AI. See you at the expo! #AWSreInvent
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We are grateful for everyone powering AI with us – our customers, investors, partners, community, and team. Happy Thanksgiving!🍁 #Thanksgiving #SuperAnnotate #AI
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We are proud to share that SuperAnnotate was nominated for SageMaker Partner Incubator program to build direct integrations with Amazon SageMaker’s product teams.🚀 Read the full article: superannotate.com/blog/super…
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🚀 Proud to be recognized by @awscloud as one of the pioneering startups accelerating enterprise AI with the Amazon SageMaker Incubator. SuperAnnotate + SageMaker = seamless, human-in-the-loop data workflows for faster, smarter model development. Read 👉 aws.amazon.com/blogs/apn/pio…
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🎓 Learn how to build and automate a high-quality chatbot training and evaluation data pipeline that unites data creation and model training in one flow. [Video included] 👉 Learn more: superannotate.com/blog/build…
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📣 Join SuperAnnotate and @awscloud for a deep dive on building reliable, scalable LLM Judge systems. See how top AI teams use AWS Bedrock + human-in-the-loop review on SuperAnnotate to boost evaluation accuracy. 👉 Register now: superannotate.com/webinar
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Ever wonder how @Databricks and @flotracker run their AI evals? Join our new hands-on workshop: ✅ Custom eval workflow for your use case ✅ Human-in-the-loop review setup ✅ LLM judges that actually work 👉 buff.ly/3fuwOAt
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POCs stall when teams can’t measure performance, leaving ML teams blind & leadership unsure. Our guide breaks it down: - Set the right metrics - Combine human + LLM review - Build reliable LLM judges Read: lnkd.in/eiHwE2xs
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🚀 Agent Hub just got an upgrade making it easier to use LLMs for data annotation & model evaluation. - Connect to models on Fireworks, Vertex, Databricks, Bedrock - Automate large-scale pre-labeling & evaluation - Enjoy faster, smoother workflows Read: buff.ly/7CgR7JH
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