AI-Native Sentiment Systems for Predictable Revenue
Unprecedented Realtime Visibility & Requirements
For product owners who need predictable revenue and faster time-to-market, we deliver real-time and trended sentiment pattern detection that converts invisible market signals into demand clarity. Compared to AI-scale processing, human analysis alone cannot process enough customer, prospect, and competitive data, leading to incomplete decisions, extra development cycles, and missed market timing.
Ecosystem Context & Signal Sources
MIT Sloan Certified Framework
Building and running GTM & Publishing Systems under real constraints.
Christopher Kowal, founder and operating partner at edgeRunnerGTM, completed the MIT Sloan Executive Education Program Artificial Intelligence: Implications for Business Strategy building edgeRunner's AI Sentiment & Production Business Operating System Framework with an 'Exceptional' rating by MIT.
This framework structurally connects massive-scale computer processing and analysis with human judgement to gain unprecedented demand visibility converting these insights into actionable requirements and faster time to market.
