Knowledge Dies In Isolation
Your developers have evolved beyond individual contributors, they're now managers of AI agents. Multiple agents research, plan, code, and test simultaneously, generating more code commits, pull requests, test plans, and documentation at unprecedented speed. But as the codebase grows, something critical gets lost: the conversations, reasonings, file-change histories, plans, and context behind each decision that each agent made. This makes quality, security and performance verification increasingly difficult over time, for developers, teams, and the LLMs themselves.
Traditionally, organizations maintain two separate knowledge systems: an internal wiki for developers and functional teams, and an external knowledge base for customers and partners. Both suffer from the same fundamental problems. Content is created manually and in isolation. It becomes outdated quickly. Accuracy degrades over time. The old saying remains true: this is where knowledge dies.
Moreover, there's no structured knowledge base designed for modern AI-assisted developers, developers who use docs as database, skills as functions and LLMs as compute.
Organizations typically respond with familiar solutions: AI-powered knowledge search, AI chatbots, enhanced documentation tools with AI add-on, and training and enablement programs managed by AI. Meanwhile, developers create their own workarounds, building local agents that manage markdown files in isolated folders, querying them through LLMs on their own machines.
Yet despite these AI tools and increased LLM usage, the fundamental problems remain unsolved. We see a different approach.
We believe the root cause isn't the tools, it's the knowledge itself. It exists in isolation.
The solution lies in three fundamental connections: first, capturing all communications as memories, whether AI-to-AI, human-to-AI, or human-to-human; second, linking those memories directly to code; and third, embedding those memories into living knowledge that stays connected to its source, automatically updates with changes, and maintains accuracy over time.
This is what we call the Connected Knowledge Platform.
A structured, self-updating knowledge base with memory and context for developers, LLMs, and users.
We are Jolli.
Built by the core engineers behind Zoom and Khoros. Backed by Emergence Capital, Zoom Ventures, and Fellows Fund.
