Real-time Voice AI. Built to Scale.
Real-time voice agents that pass the Turing test -powered by natural, fast, and accurate voice models
Real-time Voice AI. Built to Scale.
Real-time voice agents that pass the Turing test -powered by natural, fast, and accurate voice models
Real-time Voice AI. Built to Scale.
Real-time voice agents that pass the Turing test -powered by natural, fast, and accurate voice models
Calls made by leading businesses across the globe
Calls made by leading businesses across the globe
Smallest AI thesis
AI scaling isn’t true intelligence. ASI uses many small, specialized models that coordinate, learn continuously.
Intelligence has a new definition
Specialisation is a superpower
Small models, Infinite potential
Bigger isn’t always better. By separating reasoning from memory and operating on compressed representations, small models can achieve capabilities once reserved for massive systems. They are faster, more efficient, and deployable anywhere—from edge devices to real-time applications. With access to external memory and tools, their potential becomes effectively unbounded, combining efficiency with scale in a way that redefines what AI systems can achieve.
Specialisation Is a Superpower
The most capable systems aren’t the ones that know everything—they’re the ones that adapt fastest. Instead of relying on static knowledge baked into parameters, modern architectures learn continuously from interaction, specialising in real time. This ability to focus only on what matters enables faster reasoning, better decisions, and more efficient performance in any domain. Intelligence isn’t just scale—it’s the ability to evolve with use.
World Models for Voice
Intelligence is no longer about processing text—it’s about understanding real-world signals. Voice is continuous, temporal, and rich with meaning beyond words, and systems built on text pipelines fail to capture that. A new class of models treats voice as the native modality, reasoning over compressed latent representations in real time. By aligning with how humans actually listen, think, and respond, intelligence becomes fluid, responsive, and truly conversational.
Smallest AI thesis
AI scaling isn’t true intelligence. ASI uses many small, specialized models that coordinate, learn continuously.
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Specialisation Is a Superpower
The most capable systems aren’t the ones that know everything—they’re the ones that adapt fastest. Instead of relying on static knowledge baked into parameters, modern architectures learn continuously from interaction, specialising in real time. This ability to focus only on what matters enables faster reasoning, better decisions, and more efficient performance in any domain. Intelligence isn’t just scale—it’s the ability to evolve with use.
World Models for Voice
Intelligence is no longer about processing text—it’s about understanding real-world signals. Voice is continuous, temporal, and rich with meaning beyond words, and systems built on text pipelines fail to capture that. A new class of models treats voice as the native modality, reasoning over compressed latent representations in real time. By aligning with how humans actually listen, think, and respond, intelligence becomes fluid, responsive, and truly conversational.
Intelligence Has a New Definition
Specialisation Is a Superpower
Small Models, Infinite Potential
Production-ready models built from scratch
We built the full voice stack from scratch — speech, synthesis, and agents, all outperforming larger models at 45ms latency.
Production-ready models built from scratch
We built the full voice stack from scratch — speech, synthesis, and agents, all outperforming larger models at 45ms latency.
Production-ready models built from scratch
We built the full voice stack from scratch — speech, synthesis, and agents, all outperforming larger models at 45ms latency.
STT
Pulse
Industry-grade transcription across 38 languages. Built for production.
SLM
Electron
Built for speed, efficiency, and real-world deployment.
TTS
Lightning
The world's fastest hyper-realistic TTS. First byte in 100ms, 30+ languages.
S2S
Hydra
The world's first full duplex multimodal voice model.
S2S
Hydra
The world's first full duplex multimodal voice model.
The agentic platform for every use case.
Configure your agent, pick your voice, set your languages, and go live — all from a single interface built for production
The agentic platform for every use case.
Configure your agent, pick your voice, set your languages, and go live — all from a single interface built for production
The agentic platform for every use case.
Configure your agent, pick your voice, set your languages, and go live — all from a single interface built for production
Agents
Playground
Agents
Playground
Agents
Playground
Certified & Compliant
Guarding your data with enterprise security
Certified & Compliant
Guarding your data with enterprise security
Proactive Defense
Anticipating threats before they emerge, thanks to our advanced monitoring.
Proactive Defense
Anticipating threats before they emerge, thanks to our advanced monitoring.
Proactive Defense
Anticipating threats before they emerge, thanks to our advanced monitoring.
APIs
One API. Every voice use case.
The full power of the platform, accessible via a clean, well-documented API. Build exactly what your product needs.
APIs
One API. Every voice use case.
The full power of the platform, accessible via a clean, well-documented API. Build exactly what your product needs.
Build the future of voice agent orchestration
311, California Street, 320 Suite
San Francisco, CA, 94104
Build the future of voice agent orchestration
311, California Street, 320 Suite
San Francisco, CA, 94104
Documentation
Initiatives
Build the future of voice agent orchestration
311, California Street, 320 Suite
San Francisco, CA, 94104