Voice is the next frontier in human-computer interaction

We grew up watching Captain Picard say "Computer, tea, Earl Grey, hot" and dreaming of a world where talking to machines felt as natural as talking to a friend.

Speaking and listening feel natural and intuitive. It’s no surprise that many people prefer talking to typing, and even before recent advances in voice AI, voice has long felt like our industry’s holy grail: the inevitable interface for humans to communicate with computers (and eventually — lets be real — robots).

Voice-only UIs have quickly become a popular way to interact with LLMs. Meanwhile, visual collaboration interfaces like ChatGPT's canvas show us the immense value of working with computers rather than just commanding them. A natural next step combines these approaches: multi-modal interfaces that blend voice and visual interaction, perfectly tailored to each task. 

Together, these developments finally bring us closer to the visions of human-computer interaction we grew up yearning for; where intelligent voice AIs make talking to computers feel effortless and intuitive.

Looking over the horizon: a new generation of voice-first AI-powered products is coming to disrupt, replace and ultimately redefine not just product categories but entire industries.

Some of our favourite examples of where voice AI can help reshape industries:

• Healthcare: AI assistants provide 24/7 patient guidance with full medical context while supporting doctors during visits and triaging follow-up care.

• Learning & development: Intelligent companions deliver personalized education and professional coaching, adapting to individual pace and goals while helping educators optimize instruction.

• Logistics: Voice AI enables hands-free driver communication for safety while automating dispatch coordination across entire supply chains.

• Recruiting: Voice agents streamline talent acquisition by conducting real-time candidate screenings with contextual follow-up questions and communication assessment.

• Mental health & wellness: Empathetic voice companions dramatically expand access to 24/7 mental health support, from CBT techniques to mindfulness coaching.

• Customer experience: Conversational agents handle complex requests in any language while coordinating with booking systems and staff for seamless 24/7 service.

• E-commerce: Voice assistants help customers discover products through natural conversation based on context and preferences (far more effective than endless scrolling).

Voice will enable exciting new business models that can deliver more intuitive, accessible and personalized experiences at broader scale and at dramatically lower cost — all in a fraction of the time of incumbent solutions. That's a future we’re excited to help build.

But, building voice isn’t easy

That future is fast becoming reality. But, even with the explosion of innovation in voice AI technologies, shipping low-latency voice interfaces to production remains challenging (especially at scale).

Voice AI developers juggle audio capture and cleanup, speech-to-text, LLM context handling, text-to-speech, turn and interruption detection, function calling, evals, telephony bridges… The list goes on. A hiccup or misstep at any point in the audio pipeline will disrupt the end user experience and break the illusion of fluid conversation.

Layercode is building the platform to make voice AI easy for all developers

In speaking with ambitious teams building next-generation voice AI experiences, one thing quickly became clear: Developers don’t want to worry about any of those headaches.

That’s why we’re building the fastest way to build production-ready, low-latency voice AI agents.

How does it work? It's simple and powerful: Our cloud platform powers the real-time infrastructure required to reliably deliver voice AI agents with responsive, engaging voice interfaces.

Layercode is ideal for developers who want to:

• Add voice to LLM-powered agents and apps

• Build custom, multi-lingual voice assistants

• Support the web, mobile and phone

• Use the latest voice AI models — without vendor lock-in

Our philosophy

Three foundational beliefs are guiding how we’re approaching building Layercode’s core platform and developer tools: 

1. Developer-first: We are prioritizing delivering a developer experience that raises the bar: top-notch documentation, powerful tooling, seamless integrations, and outstanding customer service. Everything any developer needs to build new experiences at the frontier of voice AI.

2. Scalable by design: Other voice AI platforms rely on regional cloud deployments. Layercode’s architecture is designed from first principles for ultra-low latency and infinite scalability. By leveraging Cloudflare’s global edge network and private backbone, Layercode operates within 50ms of every user on Earth and autoscales with zero cold starts, hard caps, or bottlenecks.

3. Enterprise maturity: Two decades building for companies big and small have taught us one truth: trust is built on rigor. We’re treating security, privacy, and compliance as foundations, not features.

We’re launching soon

We’re preparing to launch our public beta (very) soon. If you’re a developer building voice AI, join our launch list and be first to try Layercode.