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Loka builds low-latency voice agent with Amazon Nova 2 Sonic

By PulseAugur Editorial · [1 sources] ·

Loka has developed a conversational AI voice agent using Amazon Nova 2 Sonic, a speech-to-speech model from AWS. This new approach processes audio end-to-end, capturing nuances lost in traditional text-based pipelines and significantly reducing latency. The system achieved a high score on the Big Bench Audio benchmark, outperforming competitors like Gemini 2.5 Flash Native Audio and GPT Realtime, while also offering cost efficiencies for large-scale deployment. AI

IMPACT Demonstrates advancements in speech-to-speech models for more natural and efficient voice agent interactions.

RANK_REASON This article describes a company using an AI model to build a product, rather than the release of a new model or significant research finding from a frontier lab.

Read on AWS Machine Learning Blog →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Loka builds low-latency voice agent with Amazon Nova 2 Sonic

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This article describes a company using an AI model to build a product, rather than the release of a new model or significant research finding from a frontier lab.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, infra
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High
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94 days old
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COVERAGE [1]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Bojan Jakimovski ·

    How Loka Built a Natural, Low-Latency Voice Agent with Amazon Nova 2 Sonic

    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.

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