Last night felt special. 🧧✨ @CollovLabs hosted another intimate founder & exec gathering — co-hosted by our Head of Growth @laura_llin and Gavin (@N) Llama Venture In the middle of AI agent chaos, model launches, and nonstop hype… we chose to sit down and talk long-term. Thank you @cmigos , Jinjin, @ZiqiPeng Kelly, Qinming, @4lili_lili4 Chris, @jayfunggy for making the room sharp, honest, and generous. 🤝 We talked about: • Real AI agent progress (not Twitter demos 🚀) • What OpenClaw changes in the ecosystem • How founders stay grounded while everything accelerates ⚡ #ChineseNewYear# is about reunion and momentum reset. 🏮 AI is competitive. Brutal sometimes. But nights like this remind me — we’re building an ecosystem, not just products. Wishing everyone clarity, courage, and compounding breakthroughs this year. 🥂

We are happy to announce $23M Series A. Collov Labs is betting on Visual AI as the next interface — for the 6.8 billion people who've never used AI because text was never the answer. The lab came out of what we saw building our products. People who struggled to write prompts would point their phone at a room and just get it. Real estate agents. Small business owners. First-time AI users. Visual removed friction that text never could. The milestones so far: → 1M+ users worldwide → ~1,000 five-star App Store ratings → Covered the same day by @FortuneMagazine , @axios , @theinformation , @pulse2news, and @UniteAi Led by @MindWorksCap , Taihill Ventures, Brightway Future Capital, and others. The next interface will be the camera. This is just the beginning. — Collov Labs, San Francisco #fundingannouncement# #silliconvalley# #collovlabs#

👋Introducing the #Meissonic# & #Menotico# model series, a collaborative pre-trained image generation model by Collov Labs! This marks another step forward in our research journey, following our work on #3D# Prior Image Synthesis and D-edit. In collaboration with University of California, Berkeley AI Research and Stanford University , this series features highly efficient image generation models based on the MIM (Masked Image Modeling) architecture. Designed to surpass traditional diffusion models (such as SDXL), these models enable efficient generation of 1024x1024 and 512x512 images even at the edge. The #Meissonic# & #Menotico# series represents a milestone for Collov Labs as we pursue advancements in hashtag#spatialdesignintelligence#. Our goal is to create stunning, efficient text-to-image models trained with minimal data and parameters, paving the way for cost-effective pre-training that delivers enterprise-grade solutions. By collaborating with clients in real estate and home decor, Collov offers customizable, compliant, and cost-controlled pre-training solutions. Through our post-training pipeline, MIM models excel in downstream tasks, including: 🖼 Precision: Perfectly scaled image generation 💡 Visual Memory: Retaining 3D and 2D concepts with fidelity, like furniture, cabinetry, and flooring textures 🚀 Spatial Reasoning: Intelligent spatial arrangement and drag-and-drop editing capabilities We’re thrilled to contribute to the open-source community, sparking discussions on YouTube and Reddit from Japan, Korea, the U.S., India, the Middle East, and the U.K. Check out this YouTube tutorial on deploying these models efficiently at the edge: We invite you to explore and discuss our work! Our code and full paper are now available: 💻 Hugging Face: 📄 Full Paper: