SuperAnnotate

SuperAnnotate

Software Development

San Francisco, California 22,402 followers

Build & evaluate top-performing models using high-quality training data all within a single enterprise platform.

About us

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.

Website
https://www.superannotate.com/
Industry
Software Development
Company size
51-200 employees
Headquarters
San Francisco, California
Type
Privately Held
Founded
2018

Locations

Employees at SuperAnnotate

Updates

  • View organization page for SuperAnnotate, graphic

    22,402 followers

    Körber Supply Chain, a global leader in supply chain #technology and automation, continually innovates to meet the complex demands of modern logistics. To annotate large volumes of #data quickly, Körber turned to SuperAnnotate and managed to build datasets in a third of the time compared to their previous solutions. Check out how we helped Körber improve #annotation efficiency, model performance, and operator independence. Case study here: https://lnkd.in/eyNUa6EV

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  • View organization page for SuperAnnotate, graphic

    22,402 followers

    SuperAnnotate is available on the Amazon Web Services (AWS) Marketplace 🎉 To help customers move from data to results faster, SuperAnnotate integrates with multiple AWS services, from data storage to model training and evaluation: ✅ AWS S3: Our platform’s integration with S3 makes data storage, transfer, and accessibility easy and secure. ✅ Amazon SageMaker: SuperAnnotate integrates directly with SageMaker, allowing you to manage and prepare data for model fine-tuning within the SageMaker environment. This results in faster iterations and more accurate models. ✅ Amazon Bedrock: SuperAnnotate powers foundational model customization on Bedrock, ensuring high-quality, annotated datasets for large-scale AI applications. We are also excited to participate in AWS re:Invent this year. Visit the SuperAnnotate team at booth N217 in the AWS Marketplace Partner Pavilion to see our tools in action and discuss how we can help you advance your AI projects. Read more in our latest article: https://lnkd.in/d8uPWSYv

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  • We’re thrilled to announce that SuperAnnotate is now available on Databricks Partner Connect 🎉 Building on our recent Series B funding news, where Databricks Ventures participated as a strategic investor, this integration offers seamless access to our AI data platform directly from your Databricks workspace. SuperAnnotate and Databricks have several joint customers, including GumGum, Twelve Labs, and Databricks itself, who leverage both platforms to accelerate the AI development lifecycle, from data to deployment. Learn more in our latest blog post: https://lnkd.in/dR4HHP5S

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  • We’re excited to announce our $36M Series B funding round, led by Socium Ventures — a VC fund backed by Cox Enterprises — with additional participation from NVIDIA, Databricks Ventures, Lionel Messi’s Play Time Ventures, Glynn Capital, and several of our existing investors! This funding will accelerate our growth and solidify our position as a leader in enterprise #GenAI dataset creation, management, and orchestration. Trusted by several Fortune 50 companies, our platform empowers organizations to build complex #AI models using high-quality, multimodal #datasets. We’re incredibly proud of our team’s dedication, the milestones our customers achieved with our support, and the trust of our world-class investors, partners, and advisors who have joined us on this journey. Our CEO and co-founder Vahan Petrosyan shares our big news in this article: https://lnkd.in/emHpqs-W

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  • The rise of AI-generated text is transforming many industries, but it also brings challenges—in our case, when unwanted synthetic content gets into datasets for training AI models, often degrading dataset quality. At SuperAnnotate, we enable foundation model companies to build high-quality datasets for the next generation of AI models, and filtering out any AI-generated text is important to ensure the dataset quality. We're excited to share that our open-source AI detector model has achieved remarkable results: 🥇 Top-4 position in the RAID benchmark with adversarial attacks (and top 2 of open source models) 🥇 Top-5 position without adversarial attacks 🥇 Top-2 position in detecting GPT-4 generated text Check out the leaderboard here 👉 https://lnkd.in/dHB_nAFK Our detector is built on the RoBERTa architecture and trained on a balanced dataset of 44,000 samples curated by the SuperAnnotate LLM Ops team. It achieves up to 99% accuracy for ChatGPT and 98.5% for GPT-4, making it a reliable tool for identifying synthetic text in educational, scientific, and data annotation contexts. Try our open-source AI detector and let us know your thoughts (links are in the comments section).

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  • SuperAnnotate is at the forefront of improving LLM agent performance, helping companies harness the full potential of their data for AI projects. Here’s how we make a difference: ✅ Fine-Tuning: We specialize in enhancing agent performance by training them on large datasets tailored to specific tasks, enabling them to learn new capabilities efficiently. ✅ Evaluation: Our platform offers comprehensive evaluation tools to assess how well agents perform on unseen data, ensuring they meet business requirements. ✅ Data Creation Support: With our fully managed service, businesses can scale their data creation processes, set up best practices, and assemble expert teams quickly. 💼 Why It Matters: As AI continues to integrate into various sectors, the ability to produce high-quality, relevant data is crucial. SuperAnnotate helps companies maintain competitive edges by optimizing their #AI workflows and ensuring their #LLMagents are equipped for success! Learn more in this blog post: https://lnkd.in/eaADwgFm

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