Encord

Encord

Software Development

San Francisco, California 5,967 followers

The data development platform for AI

About us

Encord is the leading data development platform for advanced vision and multimodal AI teams. We build tools and infrastructure to help our clients get their models into production faster with a data-centric model testing and evaluation framework, human-centric workflow and annotation tools for labeling & RLHF, and data curation and management software. Encord is trusted by pioneering AI teams at Stanford Medicine, Mass General Brigham, Tractable, Viz AI, Iterative Health, the UHN, the Royal Navy, Veo, and many more global companies.

Industry
Software Development
Company size
51-200 employees
Headquarters
San Francisco, California
Type
Privately Held
Founded
2020
Specialties
Active Learning, Data Engine, Artificial Intelligence, Computer Vision, Machine Learning, Data Annotation, Image Annotation, Video Annotation, Automated Labeling, Ground Truth Data, Model Training, Model Performance, Healthcare, Geospatial, Defense, SAAS, and Software-as-a-service

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Locations

Employees at Encord

Updates

  • View organization page for Encord, graphic

    5,967 followers

    🎙 Our very own Alexandre Bonnet will be giving a talk about a crucial mistake that we see AI teams make: poor data curation. 🔗 Join us next Tuesday, June 16th: https://lnkd.in/eVQyBgcM

    View organization page for Zilliz, graphic

    9,433 followers

    Missed our last SF meetup? Join us in San Francisco with APARAVI and Encord for our next meetup on July 16! 🔥 ▶️ Garbage In, Garbage Out: Why poor data curation is killing your AI models (and how to fix it) with Encord ▶️ It's your unstructured data: How to get your GenAI app to production (and speed up your delivery) with Aparavi ▶️ Towards Unstructured Data with Zilliz CEO, Charles Xie 🔗 https://lu.ma/ywy6zmz8

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  • View organization page for Encord, graphic

    5,967 followers

    ❓ Are you struggling to accurately assess the quality of your text-to-image AI models? 🚀 Join our ML team for a webinar next Thursday to break down the challenge of text-to-image model evaluation and provide insight into how best to use the Text-To-Image Evaluation GitHub Repo (Link in comments).

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  • View organization page for Encord, graphic

    5,967 followers

    😱 The results are in… 😎 G2 have just announced their Summer 2024 badges and we're proud to be named as a 'Leader' in the MLOps and Data Science categories. ⚡️ 2024 has been a tremendous year of growth at Encord and we can't wait to share all the updates we have coming for the rest of the year and beyond!

  • View organization page for Encord, graphic

    5,967 followers

    🇫🇷 The Encord International Roundtable Tour continued last week in Paris! ⚡️ Paris' top AI researchers and practitioners gathered to share industry insights, network, and most importantly, eat the delicious Parisian cuisine! 🤝 We'll be coming to a city near you soon, so get in touch with Kamil Mouthon if you'd like to join.

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  • View organization page for Encord, graphic

    5,967 followers

    🚀 Check your model's F1 score in seconds! ✅ Encord Active's advanced model evaluation feature allows teams to quickly check and optimize their model's F1 Score with ease. ⬇️ How to check your model's F1 Score: 👉 Import your project and predictions into Encord Active 👉 Navigate to the Model Evaluation tab 👉 Select the F1 score metric and toggle on the Model Outcome Count 👉 Visualize your model's F1 Score by class.

  • View organization page for Encord, graphic

    5,967 followers

    🚀 25% increase in mAP and 33% decrease in dataset size. Sound too good to be true? It's not. ⚡️ Join our ML and Product team in our latest webinar to find out how: 🗑️ 𝗚𝗮𝗿𝗯𝗮𝗴𝗲 𝗜𝗻 𝗚𝗮𝗿𝗯𝗮𝗴𝗲 𝗢𝘂𝘁: 𝗣𝗼𝗼𝗿𝗹𝘆 𝗖𝘂𝗿𝗮𝘁𝗲𝗱 𝗗𝗮𝘁𝗮 𝗶𝘀 𝗞𝗶𝗹𝗹𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗠𝗼𝗱𝗲𝗹𝘀 👇 Click below to register

    View organization page for Encord, graphic

    5,967 followers

    🥇 Data is the new gold. But how do you find the 𝗿𝗶𝗴𝗵𝘁 𝗱𝗮𝘁𝗮? 🚀 Register below to learn how AI teams have achieved a 50% increase in model performance, with their existing data, through intelligent data curation.

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Funding

Encord 3 total rounds

Last Round

Series A

US$ 15.0M

See more info on crunchbase