gutt

About gutt

𝗪𝗲'𝗿𝗲 𝘀𝗼𝗹𝘃𝗶𝗻𝗴 𝘁𝗵𝗲 $𝟲𝟳𝗕 𝗮𝗴𝗲𝗻𝘁 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗰𝗿𝗶𝘀𝗶𝘀. AI agents are failing in production. They hallucinate. They repeat past mistakes. They can't learn from organizational context. Why? Because they're reading stale artifacts (docs, tickets, code) without understanding why decisions were made or what caused past failures. 𝗔𝘁 gutt, 𝘄𝗲'𝘃𝗲 𝗯𝘂𝗶𝗹𝘁 𝘁𝗵𝗲 𝗺𝗲𝗺𝗼𝗿𝘆 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘁𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗮𝗴𝗲𝗻𝘁𝘀 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲. Our platform captures organizational causality — not just what happened, but why it happened. When your agents query gutt, they understand:   • What caused that P1 incident   • Why that architecture decision was made   • Which solution was validated and by whom   • What lessons were learned from past failures This is causal AI. It's the difference between agents that guess and agents that learn. 𝗢𝘂𝗿 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗶𝘀 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝗹𝘆 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁   • Agent-as-a-node: Every agent writes its learnings back to the graph, creating a self-improving system   • European-built: Your organizational memory stays yours. No training data extraction. No surveillance capitalism.   • MCP-native: Works with any agent framework (Claude, ChatGPT, Cursor, GitHub Copilot) We're building the essential reliability layer for the new agent economy. Backed by a distributed team across Belgium and Ukraine. Currently raising our seed round to scale over the next 18 months. 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗮𝗴𝗲𝗻𝘁 𝗲𝗰𝗼𝗻𝗼𝗺𝘆? Let's talk about how GUTT can make your agents reliable. 𝚋̲𝚊̲𝚛̲𝚝̲@̲𝚖̲𝚢̲𝚐̲𝚞̲𝚝̲𝚝̲.̲𝚌̲𝚘̲𝚖̲