Palabra AI Launches 100ms Latency TTS Engine for Streaming Apps
London-based AI translation startup Palabra AI has launched a new "streaming-native" text-to-speech (TTS) engine and appointed Andrey Feldman as its new CTO. The new engine is said to support 8 languages with a time-to-first-answer of approximately 100ms and includes voice cloning capabilities from a 6-second audio sample. Feldman joins the company to help scale its real-time systems for enterprise clients.
Key Takeaways
- The new TTS engine reports a time-to-first-answer of ~100ms and supports eight languages.
- Voice cloning can be performed from a six-second audio sample.
- New CTO Andrey Feldman joins to scale Palabra’s real-time systems for enterprise-grade solutions.
- The company is targeting 1 million minutes of usage per month in 2026, following an $8.4m pre-seed round in 2025.
Why It Matters
Palabra's focus on ~100ms latency and enterprise-grade scaling directly targets the live translation and dubbing market for streaming. The combination of a low-latency engine and the appointment of a CTO experienced in high-load systems indicates a clear strategy to service B2B clients in demanding real-time environments. While many TTS solutions exist, Palabra is building a platform specifically for live events and streaming, not just pre-recorded content. The key metric to watch will be the company’s progress toward its stated goal of 1 million minutes of usage per month in 2026.
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