Most CX tools fix problems after customers feel them. Amalga prevents them. Amalga AI evaluates candidates before hire and coach agents before they go live—across conversation quality and pronunciation. It’s a shift from reactive QA to proactive readiness, built from firsthand experience in support and CX leadership.

Universal-3 Pro by AssemblyAI — Speech-to-text that finally understands context

Speech-to-text that finally understands context

👋 Hi Product Hunt — I’m Vadi, founder of Amalga.

I built Amalga after seeing the same pattern repeat itself for years across customer support, sales, and CX teams: we try to fix problems with coaching far too late, when the real mistakes and missed opportunities actually happen much earlier — during hiring and onboarding.

Teams spend weeks onboarding agents, and only after they go live do we discover whether they can handle real customer conversations. By then, the cost is already sunk — time, money, customers, and morale. A single bad CX hire can cost $20K–$30K+ annually once you factor in onboarding, lost productivity, rework, customer churn, and attrition.

I experienced this firsthand early in my career as a support agent, and later as a product leader watching teams struggle with broken hiring, patchy onboarding, and guesswork coaching.

Amalga exists to change that.

We help teams hire smarter, ramp faster, and serve customers better by using AI-powered role-play and real-world simulations to evaluate candidates before hire and coach agents before mistakes ever reach customers.

I’d love your feedback, questions, and ideas.

Thanks for checking it out 🙏