Fermat represents the 2026 frontier of 'spatial intelligence' in AI productivity. Unlike linear chat interfaces, Fermat utilizes an infinite 2D canvas architecture that allows users to modularize their creative and analytical workflows. Its technical core is built on a node-based system where different AI models (including GPT-4o, Claude 3.5, and Stable Diffusion XL) can be chained together. This allows the output of one block to serve as the prompt context for another, effectively creating a visual programming environment for non-developers. By 2026, Fermat has positioned itself as the 'Miro for AI,' focusing on teams that require high-density context management and multi-modal generation. The platform leverages Conflict-free Replicated Data Types (CRDTs) to ensure seamless real-time collaboration across distributed teams. Its architectural advantage lies in 'Proximity Contextualization'—the ability for AI blocks to ingest information from neighboring elements on the canvas without manual copy-pasting, significantly reducing prompt latency and cognitive load for power users.
