Voker

Voker discovered genuine demand through their founders' direct experience building AI agents at scale. ​​‌‌‌‌‌‌‌​‌‌​​‌​​​​​​‌‌​‌‌‌​​​‌‌Alex and Tyler had already shipped AI products at a $100MM revenue e-commerce company, where they encountered the same monitoring problem repeatedly: their AI agents were failing silently in production with no visibility into why. This wasn't theoretical—they were losing money on broken automations. When they started conversations with other engineering teams building AI agents, every single founder described identical pain points unprompted. Lull.com and Dutch.com didn't need convincing; they immediately integrated Voker's SDK into their systems because agent failures were actively costing them revenue. The real validation came through usage patterns: companies weren't just downloading the SDK, they were instrumenting it across their entire agent infrastructure within weeks. Retention proved strongest among teams running the most AI agents in production—the segment with the highest failure costs. This behavioral signal—rapid adoption by companies with acute pain—demonstrated demand existed beyond stated interest.