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
Proven Results
Reduction in coding time
Fewer iterations
Team satisfaction
Symphony Solutions (300-person IT firm) is deploying gutt and becoming our first reseller.
Why Now
MCP Protocol Adoption: Anthropic's Model Context Protocol is becoming the standard. gutt is MCP-native from day one.
Infrastructure Layer: We're building the foundation every agent will need — first-mover advantage in organizational context.
Technical Moat: Agent-as-a-node architecture creates a self-learning flywheel. More usage = smarter organizational brain.
Experienced Team: Founders scaled from 50 to 2,000 people under crisis pressure. Deep MCP expertise in Ukrainian engineering team.