Daniel Varela

Daniel Varela

Co-founder of Lokutor, voice AI on CPUs
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About

We build speech models and voice agents at Lokutor, a small team in Madrid. Our work spans speech recognition, turn taking, noise suppression and speech synthesis, with a separate language model provider. We also build Ito and Oído for the ESP32 S3. We're sharing the models, deployment tradeoffs and what we still need to measure.

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Maker History

  • Lokutor
    LokutorVoice AI on speech foundation models we train ourselves
    Oct 2026
    • 🎉
    Joined Product HuntNovember 1st, 2024

Forums

Lokutorp/lokutor•

1mo ago

Why we're building small speech models for cloud, servers and devices

We're a small team in Madrid building Lokutor. We want voice agents to work where people need them: in the cloud, inside a company's own servers, and on devices that cannot depend on a connection.

That means paying attention to the speech models themselves, not only the orchestration around them. Size, deployment and what happens during a conversation all matter.

Our platform work covers four parts of that conversation:

Psst cleans the caller's audio before speech recognition. We build it for the recogniser behind it, not just for audio that sounds cleaner.

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9d ago

Lokutor - Voice AI on speech foundation models we train ourselves

Lokutor is a speech AI company in Madrid. We design and train our own small speech foundation models: Versa (text to speech in 9 languages, incl. Catalan, Galician and Basque), Turno (turn-taking: knows when the caller is done and lets them interrupt) and Psst (noise suppression), with Conv 2.0 (speech recognition) in development. Small models make it fast and affordable: agents answer in about 0.6 s (596 ms median) for about 5¢ a minute, LLM included. Live demo on lokutor.com, no sign-up.
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