The AI knows everything.
Except what matters about your company.

Fylle is an AI-native content intelligence system that structures company knowledge into a persistent, governable memory layer for AI. It organizes everything a business knows, such as products, audiences, tone of voice, guidelines, and competitors, as interconnected nodes that any AI tool can access through MCP (Model Context Protocol). Every output is tracked: real performance data flows back into the system, the context refines itself, and content quality compounds over time. Fylle works with Claude, ChatGPT, Cursor, and any custom workflow. The AI changes, the structured context stays.

Content intelligence is the practice of structuring business knowledge so that AI systems can produce accurate, brand-aligned content without manual briefing. It goes beyond content generation and content analytics: it connects what a company knows (products, audiences, tone, constraints) to how AI executes (workflows, agents, publishing) and what the market signals back (performance, feedback, engagement). Fylle is built around this model: a continuous loop where knowledge, execution, and optimization reinforce each other.

Fylle is the structured memory layer that makes AI models work reliably for your business. Tools like ChatGPT and Claude can retain some information between sessions, but that memory is opaque: you cannot see how the AI organizes it, what it prioritizes, or how it applies it to each output. Fylle gives you full visibility and control. Your company knowledge is structured as interconnected nodes, and you define exactly what the AI accesses, how elements relate to each other, and what stays out. The difference is not memory versus no memory; it is a black box versus a transparent, governable system. The AI model changes, the structured context stays.

Structured context is company knowledge organized into interconnected, machine-readable nodes. Not documents, not prompts, not chat history. Each node represents a specific element: a product, an audience segment, a tone guideline, a compliance rule. These nodes are linked, so an AI workflow accessing a saved audience node automatically inherits the right tone, product references, and regulatory constraints. This is what makes AI output consistent across tools, channels, and teams, and what allows quality to improve automatically as performance data flows back into the structure.

Yes. Fylle connects to any AI tool that supports MCP (Model Context Protocol), including Claude, ChatGPT, Cursor, and custom-built agents. Your structured context is available wherever you work, without copy-pasting or re-prompting. If you switch AI providers or add new tools, the context carries over. Fylle is the knowledge layer, not the generation layer: it is designed to be model-agnostic by architecture.

Onboarding starts with a discovery session where we map your company knowledge: products, audiences, tone of voice, compliance rules, and operational constraints. From there, we build your structured context, typically in a few days. You review, we refine. Once the context is validated, AI workflows go live and begin producing. From that point, the system optimizes itself: performance data flows back, the context sharpens, and output quality improves with every cycle.

Fylle is industry-agnostic. The system works wherever there are structured communication needs and multiple audiences, which means most knowledge-intensive businesses. Current and past clients span financial services, healthcare, pharmaceutical associations, FMCG, fashion, and luxury goods.

Lehve is a personal branding tool for LinkedIn, built on the Fylle structured context system. It helps CEOs, founders, and professionals produce consistent, high-quality LinkedIn content through AI-powered writing, editorial planning, and engagement analytics. Lehve is available to try for free at lehve.fylle.ai.