AI Live Speech Translation Startup Palabra AI Raises USD 8.4M in Pre-Seed Funding

AI live speech translation startup Palabra AI has announced raising USD 8.4m in pre-seed funding. The round closed in August 2025 and was led by Alexis Ohanian – Reddit co-founder and founder of venture capital firm Seven Seven Six (776). Read more to learn how AI translation tech Palabra secured backing from Reddit co-founder’s venture firm.

The round included participation from early-stage venture firm Creator Ventures and individual investors, including Instacart co-founder Max Mullen, former Andreessen Horowitz partner Anne Lee Skates, former DeepMind Head of Product Mehdi Ghissassi, and angel investor Namat Bahram.

Artem Kukharenko, CEO and Co-Founder at Palabra AI, told Slator that investors were attracted to the startup as it “delivers true synchronous speech-to-speech translation — it begins speaking mid-sentence with <800 ms end-to-end latency, across 70+ languages.”

Lead investor Ohanian said, “AI can generate content and translate text. But [Speech] Translation is a unique problem because it requires real-time language switching, and the voice also needs to sound human. With Palabra, the translation layer works very smoothly. The company has a strong AI research team that does high-quality work around speech. Plus, the startup has made great choices in product design and quality of output.”

Palabra’s predictive context engine reportedly forecasts and self-corrects in real time with glossary support and automatic source-language detection. The company’s pace adaptation reportedly keeps long conversations coherent, and a voice-style layer preserves timbre and cadence. 

Kukharenko told Slator that the funding will be used for “a new streaming-prediction model targeting up to 3x lower latency.” The startup also plans to expand its language coverage to 100+ languages, is scaling its infrastructure to handle 10,000 simultaneous audio streams, and has set its sights on a US go-to-market strategy. 

The language technology startup aims to capitalize on the largest near-term market opportunities, which include live interpreting for broadcasting and events, and augmenting human interpreting with AI for language service integrators.

Kukharenko told Slator that “APIs are central [to that] — partners want to drop sub-second translation into existing video and comms stacks without rebuilding them.”

“In terms of traction we expect to reach ~100k minutes per month in the near term with targeting ~1 million minutes per month next year,” he concluded.

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