Poth Labs launches living customer knowledge graph
Poth Labs has launched Poth, a platform that builds a living model of customer relationships across an organization rather than treating customer feedback as isolated text documents. Teams can query Ask Poth to answer complex questions about churn and retention, with the system automatically launching adaptive surveys when internal evidence is incomplete.
Most customer feedback tools rely on simple keyword search or naive LLM summarization over disconnected documents, leaving product and customer success teams with surface-level insights. Poth Labs differentiates itself by creating a contextual relationship graph before running AI analysis, enabling root-cause discovery across fragmented data streams.
• Relational customer model synthesizes disparate datasets into a unified knowledge graph.
• Closed-loop survey automation dynamically gathers missing data when internal evidence is incomplete.
• Grounded reasoning ensures conclusions are backed by specific customer evidence rather than LLM speculation.
DISCOVERED
1h ago
2026-07-31
PUBLISHED
7h ago
2026-07-31
RELEVANCE
AUTHOR
Mojmir Horvath