Design cloud architectures, map user journeys, sketch UI wireframes, and collaborate with your engineering team simultaneously. Type your system specs — Gemini AI draws it for you.
Kickstart your brainstorm with battle-tested system design and agile templates.
High-availability Kubernetes cluster with Edge API Gateway, Auth, Caching, and DB
Interactive 4-column Agile retro board with color-coded sentiment notes
Retrieval Augmented Generation with Vector Embeddings, ChromaDB, and Gemini Reranking
Direct technical answer blocks indexed by ChatGPT, Perplexity, and Google AI Overviews
CanvasFlow.AI is an infinite collaborative vector whiteboard engineered for software teams, system architects, and UI/UX designers. Powered by Google Gemini 1.5, it translates natural language system descriptions into structured, auto-laid-out cloud architectures, sequence flows, and entity-relationship diagrams in seconds.
CanvasFlow.AI utilizes an SVG and HTML5 Canvas hybrid rendering engine with transform matrix mathematics. It supports continuous trackpad pinch-to-zoom (0.1x to 8.0x), multi-touch gesture scaling, two-finger directional panning, and real-time minimap viewport tracking without loss of vector crispness.
You can export diagrams in 3 professional formats: Scalable Vector Graphics (SVG) for lossless vector editing in Figma or Illustrator, Ultra-HD 2560x1440 PNG for technical documentation and slide decks, and portable Architecture JSON for canvas backup and multi-device state restoration.
CanvasFlow.AI uses conflict-free replicated data structures (CRDTs) and WebSocket presence synchronization to broadcast cursor coordinates, active tool states, and canvas element mutations in sub-50ms latency across all connected team members.