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Layercode

Build low-latency voice AI agents effortlessly.

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Skymel ADK (Agent Development Kit)

October 9, 2025

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Layercode

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Build low-latency voice AI agents effortlessly.

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Overview

Layercode makes it easy for developers to build reliable, low-latency voice AI agents.

We provide the real‑time infrastructure required to turn any LLM or existing text-based agent into a reliable, conversational voice AI agent that speaks to users via the web, mobile, or phone.

Build reliable, low-latency voice agents that are ready for production
Our cloud platform offers everything you need to give your agent a voice: audio streaming, multilingual speech-to-text, text-to-speech in over 100 voices, and intelligent turn-taking, delivered through a simple webhook integration that works with the LLMs and agent libraries you already know and love.

Get started quickly, straight from the command line
Developers can get started with a single CLI command, connect any LLM, agent framework, or custom logic via a single webhook, and use our frontend SDKs or connect a phone number to let users speak to their agent.

Full control over your agent’s backend
Unlike WYSIWYG voice agent builders, Layercode gives developers complete control over their agent logic — without needing to wrestle with the complexity of a DIY solution: building, maintaining and managing every component of a real-time voice system.

Hot-swap leading voice model providers
By supporting different voice model providers, Layercode helps developers avoid vendor lock-in by retaining the ability to test, evaluate and swap the best voice models for their use case.

Track latency, record and replay voice sessions
Latency analytics and recordings let developers measure an agent’s latency, review any conversation and replay, review logs, or download the recording.

The first voice AI platform built for true global performance
Layercode’s cloud is powered by 330+ edge locations, helping ensure rock-solid performance and reliability for voice agents speaking to users anywhere on Earth.

True, usage-based pricing
True, usage-based pricing that only charges per-second when a user or agent is speaking — silence is always free.

By handling all of the complex, real-time audio infrastructure required to deliver reliable voice AI to production, Layercode lets developers focus on building their core application while delivering conversational voice AI experiences that feel human, scale with demand, avoid vendor lock-in, and remain affordable at scale.

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Initial release

October 9, 2025

Aidan Hornsby

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Initial release of Layercode.

Aidan Hornsby

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Speechmatics | AI Voice Agents

Build smarter AI voice agents with the best speech recognition technology

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Calldock

Add AI voice agents to your website in minutes.

Voice agents

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VoiceAIWrapper

Connect any Voice AI under your brand

Voice agents

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Michael Carter

🙏 13 karma

Jul 9, 2025

Using Voice AI Wrapper has been a game changer for my agency. I was able to launch fully branded voice AI services for my clients in under an hour. The ability to choose different voice providers for different use cases has helped me deliver exactly what each client needs. Overall, it has saved me time, reduced costs, and opened up a whole new revenue stream. I highly recommend it to any agency looking to scale fast and stand out.

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Millis AI

Develop Advanced LLM-Based Voice Agents with Ultra-Fast 600ms Latency

Voice agents

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Intervo AI

Open-source platform for conversational AI agents.

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pikero

🙏 20 karma

Oct 1, 2025

We use this tool for lead qualification in real estate, and it’s been a huge win. Every enquiry gets filtered quickly, only serious prospects reach us, and no opportunities are missed. It saves time and helps us give real attention where it matters most.

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CallFluent

Create AI voice agents for automated calls in seconds.

Voice agents

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3,911
46
3.5

Released 1y ago
From $37/mo
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Sherm Stevens

🙏 2 karma

Dec 4, 2024

Callfluent is NOT ready for commercial use. I signed up, followed their tutorials to a tee, and could not get voice bot to work. The bot would hallucinate about dates, and would actually argue with me about days dates. I tried to connect with their support, and kept getting the same replies -- to not use the web based calling feature. I was actually calling by phone to test the bot. Support is TONE DEAF. I sent call recordings, transcriptions, and detailed list of issues by email. They kept repeating the same answers... almost as if they use their own garbage AI for tech support. I requested a ZOOM call with their "onboarding specialist" and was given access to a calendar, with the soonest appointment 8 days away. I requested a sooner appointment and the specialist started offering me times IN THE PAST. Again, I think they use their own AI for support or scheduling. I would stay away from this product. Not very good at all. Avoid at all costs if you wish to have a successful AI chat and voice bot.

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Pros and Cons

Pros

Cloud-based platform

High customization

Advanced turn-taking algorithms

Multiple language support

100+ different voices

Scalable from demo to production

Unique pricing for voice interactions

Silence does not incur costs

Switch between voice model providers

No vendor lock-in

Complete backend control

Integration capability

CLI and SDKs provided

Supports over 32 languages

Offers multiple voice options

Natural turn taking

Voiced conversation builder

Efficient session reviewing system

Latency analytics availability

Simplified billing for multiple vendors

Transparency in voice agents' conversations

Offers templates for common use-cases

Global edge voice infrastructure

Easy configuration of STT and TTS models

No noisy neighbors in sessions

Instant scalability and no cold starts

Per-call isolation

330+ independent locations

Avoids performance degradation

Frontend and backend integration

Compatible with known LLM and Agent libraries

Facilitates distributed network design

Voice agent monitoring and debugging tools

Avoids single point of failure

Audio pipelines configurability

Hot-swap voice and transcription model providers

Analytics and observability

Supports browser-based and phone agents

Sub 50ms voice data processing

Compatibility with mobile or phone

Startup program available

Audio visualization example code provided

View 37 more pros

Cons

Charges for voiced interactions

Limited to certain languages

Possible complexity for under-experienced developers

Multiple languages but limited voices

Requires knowledge of Command Line Interfaces and SDKs

Dependency on vendor product quality

View 1 more cons

Q&A

What is Layercode primarily used for?

Layercode is primarily used as a cloud-based platform for developers to build low-latency, production-ready voice Artificial Intelligence (AI) agents.

What customization options does Layercode offer?

Layercode offers high customization options. Users can control how the AI agent sounds and responds. It also provides over 100 different voices to choose from. The platform also allows easy transitions between leading voice and transcription model providers.

How does the turn-taking algorithm on Layercode enhance conversational experience?

Layercode has implemented advanced turn-taking algorithms that ensure a smooth conversational experience. These algorithms enable the AI agents to interact with users in a more natural and human-like conversational manner.

How does Layercode ensure smooth conversations?

Layercode ensures smooth conversations through its low-latency voice integration. This allows for real-time interaction with the voice AI agents. Additionally, the advanced turn-taking algorithms contribute to the smoothness of the conversation.

What languages does Layercode support?

Layercode supports over 32 languages, enabling developers to build AI agents tailored to diverse user bases.

How many different voices does Layercode provide?

Layercode provides a broad choice with more than 100 different voices for developers to choose from.

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What are the scaling capabilities of Layercode?

Layercode is designed with scalability in mind. It is capable of handling the growth of an application from demo phases to full production seamlessly.

What is unique about Layercode's pricing model?

Layercode features a unique pricing model where charges are only for voiced interactions. This means if the agent or user is silent, there is no charge. The platform offers 'silence for free'.

Is it easy to switch between different voice and transcription model providers on Layercode?

Yes, Layercode makes it quite easy to switch between different leading voice and transcription model providers. This allows for testing and evaluation of different providers with ease.

How does Layercode prevent vendor lock-in?

Layercode prevents vendor lock-in by allowing users to easily switch between different voice and transcription model providers. This allows users the freedom to choose the best provider based on their unique requirements without being tied down to a single vendor.

What kind of control does Layercode allow over my agent's backend?

Layercode provides complete control over voice AI agent's backend. This enables users to manage how their agent responds and interacts without having to manage the complexity of building and maintaining the voice infrastructure themselves.

What does Layercode's integrative capability entail?

Layercode's integrative capability allows users to blend voice AI with their existing frontend and AI agent backend. This allows for seamless integration and coherent experience across the application.

How can voice be integrated with existing frontend and AI agent backend on Layercode?

Voice can be integrated with existing frontend and AI agent backend on Layercode via their Command Line Interface (CLI) and Software Development Kits (SDKs).

What tools or kits does Layercode provide for integration?

Layercode provides Command Line Interface (CLI) and Software Development Kits (SDKs) for integration into existing platforms.

How does Layercode support the development of low-latency voice AI agents?

Layercode supports the development of low-latency voice AI agents through its advanced infrastructure, which offers high customization options for developers. The developers have full control over how their voice AI agent sounds and responds, this allows for the creation of AI agents specifically tailored to their needs.

Can I control how the voice AI agent sounds and responds on Layercode?

Yes, on Layercode, developers can control how their voice AI agent sounds and responds. They can alter the voice's tone, speed, modulation, and other parameters to achieve the desired conversational experience.

What makes Layercode different from low/no-code voice agent platforms?

Layercode stands out from low/no-code voice agent platforms by offering complete control over the agent's backend to its users. This means developers are not limited by the constraints of a packaged solution and have the freedom to customize their voice AI according to their needs.

How can Layercode handle transition from demo phases to full production?

Layercode has been designed to handle the transition from demo phases to full production in an efficient manner. Its scalable nature allows for seamless growth, capable of handling increased user interaction and data processing without compromising on performance.

What's 'silence is free' approach in Layercode?

'Silence is free' approach in Layercode refers to its unique pricing model which only charges for voiced interactions. So, during periods of silence, users are not charged, effectively making 'silence free'.

How does 'hot-swap leading providers' feature work in Layercode?

The 'hot-swap leading providers' feature in Layercode allows users to test and switch between different leading voice and transcription model providers. This ensures that the users are not locked-in with a single provider and have the flexibility to use services per their requirement.

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