Intryc uses AI to automate quality assurance for customer support
Enterprises can only manually review a small fraction of customer support interactions, making agent performance and compliance evaluation slow, costly, and unscalable.
Intryc provides AI that automatically evaluates 100% of customer support interactions in real time for quality assurance and compliance.
Consumer-focused enterprises with large customer support teams and high volumes of support tickets.
Co-founder and CEO of Intryc. Previously led Customer Success in Northern Europe for Confluent, overseeing $40M+ in ARR across strategic customers. Worked closely with Confluent's executive team to define everything that touches landing, onboarding, expanding, and renewing customers. Before that, first Enterprise Customer Success Manager in EMEA for Navan (fka TripActions) establishing the EMEA first team and presence.
Co-founder and CTO at Intryc. Built the first core banking platform at Revolut; contributed to NLU projects at Alexa/Amazon and AR projects at Meta/Instagram.
Co-founder and CPO of Intryc. Previously, #1 employee at Pledge (data science and engineering), led fraud detection at Revolut (ML models, algorithms and operations).




