@visual_layer

The AI-native environment for visual data.

Joined March 2023
We recently launched the beta VL chatbot, which enables browsing visual dataset using natural language. Our newest blog post outlines our high-level architecture and efficient context management, for cases when your tools return more data than the context can hold. a 🧵(1/5):
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We model datasets as graphs (images, objects, labels, clusters) and pass only IDs + lightweight stats. Query-aware sampling and field-specific summaries mean the LLM usually sees ~2K tokens instead of 50M+, while tools still operate on full state. 🧵(4/5)
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See how Visual Layer is defining the future of visual intelligence and putting it into the hands of those who protect and defend. VL is in London with the @Mafat_IL delegation at DSEI 2025 today and tomorrow! Message us or stop by the booth to chat: lnkd.in/d8U8ZkMd
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Visual Layer will be presenting our AI-native visual intelligence platform at DSEI UK this September, representing the Israeli defense tech scene under the auspices of @Mafat_IL
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VL has been selected by @Mafat_IL, Israel’s Directorate of Defense Research & Development, as one of a few DefenseTech startups on display at DSEI UK 2025. Come see how VL helps defense organizations transform vast amounts of raw visual data into real-time operational insight.
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Following the first track, we're now diving into our second track at IMVC - how data drives AI in vision. This track covers enhancing model performance and tackling challenges like label noise and domain adaptation. Stay tuned for more! Secure your spot bit.ly/41xoc2U
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Charting the Uncharted: User Videos in Social Networks Every day, billions of videos are uploaded—capturing everything from daily life to the unimaginable. What can AI uncover from this vast content? @BicksonDanny, CEO of @visual_layer, dives into the hidden patterns of user-generated videos, revealing surprising insights into behavior and digital expression. 💡 What trends emerge from this massive video archive? 🔍 How does AI make sense of unfiltered social content? Don’t miss this fascinating look into the future of AI-driven social analysis. #AI #SocialMedia #MachineLearning #UserBehavior #TheAIConference
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Visual Layer will be at #MWC25 Barcelona next week, showcasing how we help organizations search, manage, and optimize massive visual datasets with AI-driven intelligence. 📍 Find us at: Hall 5 - Stand 5E61, 5G61
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Visual Layer is now available on AWS Marketplace. You can now seamlessly integrate Visual Layer to explore, enrich, and extract insights from massive visual datasets all within the AWS ecosystem. Learn more here: aws.amazon.com/marketplace/p…
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The new DeepSeek multimodal model, Janus-Pro-1B, is now available for inference on the Visual Layer platform. Try it out here: app.visual-layer.com/free-tr…
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Visual Layer retweeted
If you missed the LLMs / VLMs episode, here is the video for you! 4:20 Fine-Tuning LLMs: An Approach with @clarifai @Sumanth_077 39:52 From raw data to refined datasets for AI Model Dev @alushamir @visual_layer 1:12:17 Reflections on building our first LLM-Based App @_PrivateAI
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Visual Layer retweeted
The Monthly Dev is next week! Topic: LLMs and VLMs 🗓️ Nov 26, 5 pm CET Speakers: - Sumanth Papareddy, ML Dev Advocate, Clarifai - Amir Alush, CTO of Visual Layer - Graham Miller, Fullstack Developer at Private AI @Sumanth_077 @alushamir @_PrivateAI @clarifai @visual_layer
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Thank you AI Day organizers Prof. Lior Wolf for inviting us to give a talk on how Visual Layer’s product is used in production to help structure index and search Iron Swords war footage. #AIDay
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Our CEO, Dr. Danny Bickson, will be delivering a lecture on Visual Layer's visual data management system at the AI Day conference. Join us at Tel Aviv University on February 5th to connect and learn more! 💡
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We are proud to announce that Visual Layer cloud platform was chosen by the Israeli Government for the Iron Swords war video footage memorial. Our platform uses AI to search, index manage and visualize millions of war videos. #AI #visual_layer
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What if computers can automatically identify and separate parts of images - like identifying every tree in a forest photo! Segment Anything model from Meta makes this possible! This post shows how you can auto-label your images using Segment Anything in fastdup, for FREE.
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