Article·Announcements·Oct 2, 2025
4 min read

Smarter, Faster Calls for Every Business: Lindy Gaia Launches with Deepgram Flux

Lindy has launched Gaia, powered by Deepgram Flux, bringing smarter, faster, and more natural AI phone conversations to businesses everywhere. Flux delivers ultra-low latency and conversation awareness, enabling Gaia to answer and manage calls without awkward interruptions or dead air.
4 min read
Hasan Jilani
By Hasan JilaniDirector of Product Marketing
Last Updated

We’re excited to be the voice AI partner supporting Lindy Gaia, powered by Deepgram Flux, as part of today’s Flux GA launch.

Lindy is a no-code AI agent platform that allows businesses to build AI workflows and agents for sales, operations, admin, and customer support without writing a line of code. 

Now, Lindy is bringing powerful agentic capabilities to the phone line. Gaia transforms traditional phone calls into intelligent, automated conversations, and with Flux those calls are faster, smoother, and more natural than ever.

What is Gaia?

Gaia is an AI-powered voice agent designed for businesses on the Lindy AI platform. Businesses use Gaia to:

  • Answer and initiate calls for support, sales, and scheduling.

  • Trigger real-time actions such as updating Salesforce or HubSpot, logging notes, or sending Slack notifications.

  • Automate multi-step workflows after a call, like scheduling follow-ups or escalating to a human agent.

  • Communicate globally with support for over 30 languages.

  • Scale concurrently to handle multiple calls at once

All of this is configurable on Lindy, which makes it easy to build custom phone agents and AI workflows that integrate directly with your business systems.

Why Flux Matters for Gaia

Live phone conversations are unforgiving. Customers expect:

  • Fast replies without awkward dead air.

  • Agents that never cut them off mid-sentence.

  • Accurate understanding across noise, accents, and specialized terms.

Traditional speech-to-text pipelines were built for transcription, not conversation. That meant brittle timing, unnecessary silences, and complex logic just to approximate turn-taking.

Flux changes the equation. As the first conversational speech recognition model, Flux integrates turn detection directly into recognition:

  • Sub-300ms turn detection keeps calls moving at human speed.

  • Integrated interruption handling ensures agents know exactly when to pause, resume, or speak up.

  • Nova-3 accuracy keeps every word precise, even in noisy environments.

  • Consistent conversational events replace messy transcript fragments with reliable signals.

With Flux under the hood, Gaia calls feel seamless, fast, responsive, and in rhythm with the customer.

How Lindy Integrated Flux

For Lindy’s engineering team, adopting Flux was nearly a drop-in replacement in their existing pipeline. The improvements were immediate and meaningful:

  • Ultra-low latency was a game-changer, making conversations feel dramatically faster.

  • Built-in state machine replaced layers of custom code for turn-taking and barge-in handling.

  • Simplified speculative response generation removed complexity they had been managing manually.

  • Developer focus shifted from patching STT limitations to refining workflows and integrations.

A New Standard for AI Phone Conversations

With Lindy Gaia, AI agents do not just pick up the phone, they act, integrate, and resolve in real time. And with Flux under the hood, those conversations now happen at the speed and rhythm of natural dialogue.

Lindy Gaia, powered by Flux, is a milestone for voice automation: a no-code AI agent platform meeting conversation-native speech recognition. Together, they enable real-time workflows, deep integrations, and customer conversations that finally move at the pace of human dialogue.

We’re proud to partner with Lindy on this release, and excited to see how businesses use Gaia, powered by Flux to transform their customer conversations.

👉 Explore AI phone assistants with Lindy Gaia
👉 Try Deepgram Flux to build your own conversational voice applications

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