Poth provides an AI-driven platform that ingests employee feedback, schedules, inventory data, and supplier information to automatically surface the underlying causes of operational issues. By correlating disparate data streams, it can pinpoint problems—such as delivery delays affecting supply levels—in seconds, enabling teams to address root causes rather than just symptoms.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations invest heavily in employee surveys, customer feedback, and market research, yet the collected data often remains in spreadsheets without yielding actionable insights. Traditional survey methods use static question sets and manual analysis, leading to shallow understanding and missed root causes of recurring operational issues.
Solution
Poth offers an AI-driven feedback intelligence platform that automatically generates adaptive, context-aware survey questions and builds a knowledge graph of responses. AI agents continuously formulate and test hypotheses, correlating employee schedules, inventory records, and supplier delivery data to uncover underlying causes of reported problems. The system validates findings with statistical rigor and delivers concise, actionable insights in seconds, eliminating manual analysis and enabling rapid resolution of issues such as mid‑week supply shortages.
Target Audience
Primary customers are mid‑size to large enterprises that collect internal feedback—such as facilities managers, operations teams, and HR departments—seeking automated, statistically sound root‑cause analysis.
Features
- LLM-powered adaptive surveys that generate follow‑up questions in real time based on prior answers
- Knowledge‑graph architecture that connects individual responses to reveal hidden patterns across the organization
- Hypothesis‑driven AI agents that automatically test and validate potential root causes using integrated operational data
- Statistical testing engine that provides confidence metrics (e.g., p‑values) for all identified insights
- Automated reporting dashboard delivering concise, actionable recommendations without manual spreadsheet work
- Data‑privacy‑first design that processes client data without training external models or selling information