🎙️ Our Co-founder and CEO, Eric Landau, recently chatted with Antoine Tardif at Unite.AI to share how we’re shaping the future of AI data management. We’re committed to empowering AI teams with a scalable, flexible platform that enables high-quality, unbiased data management and curation of multimodal datasets. Check out the full interview and learn more about our vision here 👉 https://bit.ly/3XARJXp
Encord
Software-Entwicklung
San Francisco, California 7,152 followers
The data development platform for AI
Über uns
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 Synthesia, Stanford Medicine, Mass General Brigham, Tractable, Viz AI, Iterative Health, the UHN, the Royal Navy, Veo, and many more global companies.
- Website
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https://encord.com?utm_medium=social&utm_source=linkedin&utm_campaign=visit-website
External link for Encord
- Industrie
- Software-Entwicklung
- Größe des Unternehmens
- 51-200 Mitarbeiter
- Hauptsitz
- San Francisco, Kalifornien
- Typ
- In Privatbesitz
- Gegründet
- 2020
- Spezialitäten
- 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
Produkte
Standorte
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Primäre
San Francisco, Kalifornien, US
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London, GB
Employees at Encord
Aktualisierungen
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Encord was the first platform to integrate Meta's SAM 2 auto-segmentation into data annotation workflows for AI teams everywhere. We are excited to share that you can now also level up your video annotation efforts by using SAM 2 Video Tracking within Encord's automated labeling suite. To achieve faster and more accurate image and video annotation, you can leverage SAM 2 within the Encord platform for: ✅ Faster mask prediction ✅ Automatic object tracking ✅ More accurate object tracking and mask prediction Join our live webinar to learn how to use SAM 2 on your data: https://lnkd.in/eQXhnykw
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🚀 Encord co-founder Ulrik Stig Hansen spoke at Ai4 - Artificial Intelligence Conferences alongside Pfizer and Verizon in Las Vegas. 👀 From the conversation, it was clear that high-quality data has never been more important to build performant AI models. ⚡️ It's time to solve the AI data layer!
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Last week, the Encord US team hosted a dinner to celebrate our $30M Series B! 🚀 We were joined by existing partners and many new faces to discuss the current AI and computer vision landscape, at the wonderful Kokkari restaurant! Reach out to Dillon Carriço and Jamie Shelton if you’d be interested in joining future dinners 👀
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We’re shining bright on the Nasdaq screen in NYC 💥 Last week we announced the close of our $30M Series B funding round led by Next47, with participation from Y Combinator, CRV and Crane Venture Partners to invest fully in the future of multimodal AI development.
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Over the past few years, we’ve seen tremendous advancement in the compute and model layers of AI, but the AI data layer has been largely overlooked…until now. We are excited to announce our $30M Series B funding round from Next47, Y Combinator, CRV, and Crane Venture Partners to invest in the future of multimodal AI data development. We’re also launching Encord Index, a new data management tool that seamlessly integrates with your existing data infrastructure, making it easier than ever to organize and access your data for AI projects. Our unified platform empowers AI teams to manage and curate their data, automate labeling workflows, and evaluate models all in one place. Read the full story: https://lnkd.in/eYfxyYsS cc T.J. Rylander, Kate Reznykova 🇺🇦, Anna Khan, Scott Sage
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🚨 Learn how to fine-tune SAM 2 webinar starting now! ⬇️ Link in event description
🚨 Meta AI released SAM 2, allowing for significantly accelerated automated labelling. ❓ But does it work on YOUR data? ⚡️ Join our webinar to learn how to fine-tune SAM 2!
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