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- Edit this `README.md` markdown file to author your organization card.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # L2labs
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+ **Turn ideas into AI products.**
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+ L2labs is a custom AI development studio from Europe focused on **computer vision, 3D, LLMs & generative AI**.
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+ We help companies go from vague AI ideas to **production-ready products** – not research slides.
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+ 🌍 **Website:** https://l2labs.dev
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+ 📫 **Email:** support@l2labs.dev
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+ 🧠 **Areas:** Computer Vision · 3D / Spatial · LLMs & RAG · Document AI · MLOps
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+
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+ ---
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+
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+ ## What we do
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+ We design, build and ship AI systems that run in the real world:
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+ - **Computer Vision & 3D**
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+ - PPE and safety monitoring
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+ - Deepfake / media authenticity checks
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+ - Medical image processing
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+ - BIM / Matterport pipelines, 3D segmentation & digital twins
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+ - Gaussian Splatting for immersive scenes and virtual tours
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+ - **LLMs & Agentic AI**
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+ - RAG chatbots over private data
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+ - Domain-specific assistants and tools
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+ - Workflow automation and evaluation loops
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+ - **Document AI**
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+ - OCR pipelines and PDF understanding
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+ - Semantic search and Q&A over large document sets
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+ - Redaction / anonymization and compliance-oriented workflows
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+
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+ - **Production MLOps**
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+ - Cloud, edge and mobile deployments
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+ - Monitoring, retraining loops, cost & latency optimization
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+ - CI/CD for models and data pipelines
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+
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+ ---
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+ ## Selected products & case studies
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+ **Documents AI** – cross-platform desktop app (macOS / Windows / Linux) for
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+ local, privacy-first document analysis:
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+ - Vector-based semantic search over PDFs, DOCX, TXT, Markdown
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+ - Chat with your documents using GPT-powered assistants
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+ - Local processing by default with optional cloud features
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+ - Project-based organization and high-performance indexing
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+ 🔗 https://documents.l2labs.dev
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+ **Construction Drones & 3D Analytics**
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+ - Autonomous drone data capture for construction sites
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+ - 2D/3D reconstruction, BIM alignment and as-built checks
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+ - AI-driven progress tracking, safety monitoring and quality insights
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+ 🔗 https://360.l2labs.dev
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+ **3D / Gaussian Splatting & Matterport Pipelines**
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+ - Turning 360° imagery, LiDAR, Matterport captures and video into
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+ interactive 3D scenes
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+ - Experiments and internal tools around Gaussian Splatting for
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+ photorealistic virtual tours, digital twins and AR/VR experiences
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+
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+ ---
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+
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+ ## How we work
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+ We’re optimised for **shipping, not just experimenting**:
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+ 1. **Clarify the problem**
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+ We work with your team to define what “success” actually means in metrics, UX and business impact.
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+ 2. **Validate feasibility early**
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+ Rapid prototyping to confirm that the idea can be delivered within your constraints (data, budget, timeline).
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+ 3. **Build production-ready systems**
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+ Clean APIs, clear contracts, monitoring, and deployment pipelines from the start.
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+ 4. **Iterate with real users**
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+ We treat models as living systems – integrating feedback, retraining on new data and continuously improving.
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+ ---
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+ ## This organization on Hugging Face
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+ On this Hugging Face org you can expect:
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+ - **Open-sourced building blocks** we use in projects (vision models, 3D utilities, document AI tools, evaluation scripts).
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+ - **Demo Spaces** showcasing:
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+ - Document search & chat over PDFs
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+ - 3D / Gaussian Splatting visualizations and tooling
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+ - Computer vision pipelines (detection, segmentation, tracking).
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+ - **Datasets** (where licensing allows) for benchmarking and experimentation.
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+ If you’re building something in:
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+ - 3D / spatial computing
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+ - Document intelligence & anonymization
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+ - Vision-heavy products (PPE, retail, OOH ads, safety, industrial)
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+ - LLM copilots on top of complex internal data
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+ — we’d be happy to chat.
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+ ---
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+ ## Work with us
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+ - 🌐 Website: https://l2labs.dev
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+ - 📨 Email: alexpatuk@l2labs.dev
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+ - 💼 Projects & inquiries: use the contact form on our website
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+ If you’re interested in collaborating on open models or hosting your own
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+ demo here under the L2labs umbrella, reach out and tell us what you’re building.
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+