Encord

The physical AI revolution is here. Is your data ready? The convergence of AI, data, and hardware is transforming industries in 2025. From healthcare to manufacturing, agriculture, and beyond, intelligent machines are becoming indispensable. Download our free report to learn how to build scalable Physical AI systems: https://lnkd.in/eNHhY88p

AI After Hours has crossed the pond! ???? Our popular speaker series will be taking place in London this Thursday, the 27th of March. When? Thursday, 6:30 PM – 9:30 PM Where? Next47, Marylebone Speakers & Topics: ?? Rob Lind (Syngenta Group) – Unleashing the potential of synthetic images for computer vision ?? Ibrahim Chadirchi (SeeChange Technologies) – Doing AI in the very real and very messy world of supermarkets ?? Martins Bruveris (Onfido) – Learning Sutton's bitter lesson while building remote identity verification Whether you're an engineer or researcher this is the place to be! ?? RSVP here: https://lu.ma/wygv7pww #MachineLearning #LondonTech

?? We are thrilled to share our latest product updates designed to transform how teams build high-quality datasets for training and fine-tuning AI models, fast: 1?? Upgraded Multimodal Interface For GenAI Workflows: We aim to support the full spectrum of GenAI labeling and evaluation workflows, from RLHF preference ranking to detailed error identification in text, image, video, and audio generation. Teams can now use a single interface for multimodal, multi-file comparison. This allows annotators to view prompt and evaluation guidelines alongside GenAI data. This enables seamless feedback collection and preference selection with precise issue marking. 2?? Enhanced Annotation Capabilities For Computer Vision Data: Get granular control for labeling complex image and video scenarios with support for high-vertex-count polygons for intricate objects, intelligent layer management for overlapping annotations, and object locking to prevent accidental adjustments to completed work. 3?? Synchronized DICOM Series Navigation: Medical imaging teams can now benefit from automatic synchronization between two series, ensuring corresponding scans remain aligned during navigation - perfect for longitudinal studies and treatment response assessment. #FeatureFriday

?? Scaling industrial AI requires real-world reliability—Ambi Robotics has over 200,000 hours of production data and 1 billion diverse images to train foundation models. But how do we make sense of all this unlabeled data? Vishal Satish draws a parallel to #ChatGPT: First, pre-train on massive datasets, then fine-tune for specific tasks. This approach leads to smarter, more adaptable robotics in logistics and beyond. ?? Watch the full talk from Encord’s AI After Hours here: https://lnkd.in/dp5FkjJf #Robotics #MachineLearning #FoundationModels

AI After Hours is on tour! Join us next Thursday, 27 March at Next47's London office to connect with AI practitioners, learn from experts, and grab a slice of pizza! Talks: ? Unleashing the potential of synthetic images for computer vision - Rob Lind, Computer Vision & AI at Syngenta Group ? Doing AI in the very real and very messy world of supermarkets - Ibrahim Chadirchi, VP Engineering at SeeChange Technologies ? Martins Bruveris, Sr Staff Applied Scientist at Onfido Register for the event here: https://lu.ma/wygv7pww

Global AI Demo Days! Excited to be in SF for this one (and be the first return demo-er)????? Will be talking about how to build a dataset for physical AI using Encord. Cool event for post-NVIDIA GTC?on Thursday. ?? Link here for details & sign-up: https://lnkd.in/evmreXic Matt Carey Marie-Caroline Pasquier Nick R. Nick Mesic Nick Aguilar Kevin McKeever Payom Niazmandi Maya Nayyar Thao Nguyen

?? March Madness is around the corner, but AI is always in season! Encord is powering the future of sports analytics with high-quality AI data annotation, curation, and evaluation. Here’s a look at our platform in action—labeling an international basketball game to train AI models for smarter sports insights. ?? Note: This footage is from an EU-based game AI-driven insights are changing the way we understand sports. Who’s your pick to win it all this year? #MarchMadness #AI #SportsAnalytics #DataAnnotation

AI isn’t just about decisions—it’s about learning useful representations. Kevin Chavez from Dexterity, Inc. explains their platform encodes state and action data to optimize packing and unpacking in supply chains. Watch this clip from Encord’s AI After Hours on robotics to see how AI learns to pack boxes efficiently! ????

Just 48 hours after Google's official release of Gemma 3, Encord's ML team has integrated this powerful model into our AI data workflow system. In this demo, Jim B. demonstates how to automate data curation and sorting at scale using Gemma 3's advanced multimodal reasoning capabilities. ?? Consider this real-world application: A property platform seeking to automatically enrich listings with descriptions and categorize properties as "luxury", "premium", "mid-range", or "basic" for targeted pricing and marketing. This requires accurately labeled datasets comprising millions of images and text files to build a robust AI classification system…. which could take months and $100,000s in cost. Join?Jim B. to discover how you can leverage Gemma 3 directly within the Encord platform to be smarter about your multimodal AI dataset preparation and significantly enhance downstream annotation efficiency.