The $50B Agent Market Has a Trust Problem
Enterprise AI tools never reach production
MIT, 2025
Agentic AI projects will be canceled by 2027
Gartner
IT leaders trust agents enough to deploy autonomously
Gartner
The reason: Agents read data, but they don't understand context. They hallucinate because they lack organizational memory.
gutt: The Organizational Brain
gutt builds a living knowledge graph from your organization's natural workflows — meetings, messages, code, documents. No behavior change required.
When AI agents query gutt, they don't just get data. They get understanding: why decisions were made, who knows what, what failed before, what patterns work.
The result: agents that get it right the first time, with 100% traceable reasoning.
What Makes Us Different
Traditional RAG
- • Isolated document chunks
- • No causal relationships
- • Session-based, forgotten
gutt
- • Connected knowledge graph
- • Temporal + causal understanding
- • Persistent organizational memory
Validated Results
Productivity multiplier
with AI agents using gutt
Context accuracy
vs ~60% without memory
Fewer iterations
agents get it right first time
Enterprise pilots in IT services and logistics. Building with our own product daily.
Why Now
MCP is Becoming Standard
Anthropic's Model Context Protocol is the emerging standard for agent-tool communication. gutt is MCP-native from day one.
Infrastructure Play
Every AI agent will need organizational context. We're building the foundation layer with first-mover advantage.
Network Effects
Agent-as-a-node architecture means more usage = richer context = better outputs. A flywheel competitors can't replicate.
Experienced Team
Founders who've scaled organizations under pressure. Engineering team with deep AI and MCP expertise. Meet the team →