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Intryc uses AI to automate quality assurance for customer support
Consumer enterprises have millions of customer support tickets annually. They need to constantly evaluate support agents’ performance and compliance. Typically they evaluate less than 5% of those interactions manually which is slow, expensive and not scalable. Intryc's AI can evaluate 100% of all customer interactions, in real time, at half the cost.
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.
AmazonCo-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).
Sample tickets, evaluate human and AI agents, and unlock customer insights across all your customer interactions
Intryc offers an AI-powered Quality Assurance platform for customer support that automates sampling, scoring, and coaching, integrates with help desks and CRMs, and provides real-time evaluations and insights to increase QA coverage and agent performance. The launch notes a 50% YC-network discount and references customers like Deel.
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