How Loka Built a Natural, Low-Latency Voice Agent with Amazon Nova 2 Sonic
Not a chatbot. Loka deployed real voice agents that don't make customers hang up—cutting support costs with Amazon Nova 2 Sonic.
Why it matters
Voice AI agents are moving from lab demos to production deployments. This case study shows how real companies are solving latency and naturalness problems that were killing customer experience, signaling a shift from text-first to voice-first AI applications.
The key facts
10 to knowLoka built production voice agents using Amazon Nova 2 Sonic
Focus on low-latency and natural conversation to prevent customer churn
Architecture designed to reduce support costs and improve brand reputation
Published as case study on AWS ML blog (June 2026)
Addresses 'robotic, slow voice assistant' problem as solved deployment
Loka built low-latency voice agent using Amazon Nova 2 Sonic
Problem solved: robotic, slow voice assistants causing customer churn
Business impact: reduced support costs and improved brand reputation
Architecture focus: natural conversational flow with minimal latency
Published on AWS ML blog (case study/tutorial format)
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: In this post, we demonstrate the architecture and approach Loka used to solve a common frustration: robotic, slow voice assistants that cause customers to hang up, damaging brand reputation and driving up support costs.