The fastest AI voice model ever built.

We've rebuilt the voice AI stack from the ground up to eliminate the friction between humans and machines.

Foundries of Sound

We met in the computer science laboratories of Spain, united by a singular obsession: the inefficiency of modern AI. As engineers, we spent years competing in the high-pressure environment of AI hackathons, where performance isn't just a metric—it's survival. My co-founder, backing his deep systems knowledge with a Masters in Artificial Intelligence, identified a critical bottleneck in how machines generate sound.

We saw an industry complacent with "good enough." Giants were building massive, sluggish models that sounded great but took seconds to respond. We asked: why does AI still wait to speak?

Our response was to return to first principles. We didn't just want to build another wrapper API; we wanted to forge a new engine. We started by crafting the most expressive Spanish voices in the market, proving that nuance and emotion didn't require massive compute overhead. But we quickly realized that expressiveness is nothing without immediacy. A beautiful voice that lags is just a podcast. A fast voice—one that interrupts, laughs, and responds in under 100ms—is a living conversation.

Today, Lokutor is the result of that relentless pursuit. We are not just researchers; we are builders who have optimized every microsecond of the inference pipeline to deliver the first truly conversational AI interface.

Versa: The Latency First Core

Meet Versa, our flagship voice model named after the core of human exchange: conversation. It isn't just an update; it's a completely new architecture designed for speed.

While traditional models process audio sequentially, Versa anticipates flow. By optimizing the data path between the neural encoder and the speaker, we've achieved a system that doesn't just synthesize text—it performs it in real-time, currently powering the fastest Spanish and English agents at global scale.

Versa also includes advanced viseme support for perfect lip-sync synchronization, enabling seamless integration with avatars, virtual assistants, and gaming characters. Our viseme data provides precise mouth shapes and facial expressions that match the generated speech, creating truly immersive visual experiences.

Experience Our Voices

The Invisible Edge

Lokutor utilizes a streamlined Flow-Matching architecture that bypasses the traditional bottlenecks of AI speech. It begins by mapping raw text characters into a low-dimensional latent space via a separate Conditional Flow Matching (CFM) core, predicting a vector field that reshapes random Gaussian noise into structured 'speech DNA' in a single, non-recursive pass. This compressed 12.5Hz latent representation is then fed into a Causal ConvNeXt Decoder, achieving our signature 100ms 'Time-to-First-Byte'.

Streamlined Flow-Matching Architecture: From CFM Latent Core to Causal ConvNeXt Decoder.

Developer Ecosystem

Performance Data

Our proprietary engine delivers voice synthesis at 100ms end-to-end latency. While competitors stand at 300ms, that 200ms gap is the difference between an immediate human response and a perceptible 'AI delay' that breaks natural conversation flow.

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