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§ Private Profile · London, United Kingdom
Palabra.ai is a technology company.
Palabra.ai delivers live audio translation for events, video calls, streaming, and API integrations : with near-zero latency and full customization.
Palabra.ai has raised $8.0M across 1 funding round.
Palabra.ai has raised $8.0M in total across 1 funding round.
Palabra.ai has raised $8.0M across 1 funding round. Most recently, it raised $8.0M Seed in August 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Aug 1, 2025 | $8M Seed | Seven Seven SIX | Andreessen Horowitz, Curie.bio, Diaspora Ventures, Launch House Ventures, Operator Partners, Sequoia Capital, Thrive Capital, Eduardo Alcalay, Elad GIL, Eric WU, Javaughn Lawrence, Karim Atiyeh, Lucas Medola, Patrick Collison, Akin Babayigit, Anne LEE Skates, MAX Mullen, Mehdi Ghissassi, Namat Bahram, Creator Ventures | Announced |
Palabra.ai has raised $8.0M in total across 1 funding round.
Palabra.ai's investors include Seven Seven Six, Andreessen Horowitz, Curie.Bio, Diaspora Ventures, Launch House Ventures, Operator Partners, Sequoia Capital, Thrive Capital, Eduardo Alcalay, Elad Gil, Eric Wu, Javaughn Lawrence.
Palabra.ai is a London-based AI startup developing real-time speech-to-speech translation technology powered by a proprietary Large Language Model (LLM). It builds tools for seamless, low-latency voice translation across 60+ languages and 3,000+ language pairs, serving enterprises, event organizers, video platforms, and consumers in scenarios like online meetings, live events, webinars, and broadcasts.[1][2][3][4][5] The platform solves the challenge of accurate, human-like simultaneous interpretation by achieving under 800ms end-to-end latency, preserving speaker timbre, cadence, and emotion while handling noisy environments, interruptions, and mid-sentence translations—outperforming pieced-together speech-to-text and text-to-speech solutions.[1][2][4] Growth momentum includes an $8.4M pre-seed round in August 2025 led by Alexis Ohanian's Seven Seven Six, plus a November 2025 acquisition of Talo to expand into everyday multilingual communication products like video call bots and live streams.[2][3][6]
Palabra.ai was co-founded by CEO Artem Kukharenko, who leads a strong AI research team focused on speech translation.[2][4] The idea emerged from addressing LLM limitations in multilingual speech processing, where combining off-the-shelf APIs caused high latency and unnatural output; Palabra built an end-to-end proprietary LLM pipeline with custom data processing and human interpreter quality checks to add languages in weeks.[1][4] Early traction came via desktop apps for Mac/Windows integrating with Zoom, Google Meet, Slack, Discord, and Teams, plus APIs powering platforms like Agora and partners like GIS Group for augmented human interpreting.[4][5] Pivotal moments include the August 2025 funding from high-profile investors like Ohanian, Creator Ventures, Max Mullen, and others, drawn to its sub-second synchronous translation across 70+ languages, followed by the Talo acquisition in November 2025 to launch consumer-facing tools.[2][3]
Palabra.ai sets itself apart in AI translation through proprietary technology and real-world performance:
Palabra.ai rides the wave of AI-driven real-time communication, capitalizing on LLM advances to disrupt the $50B+ language services market traditionally dominated by human interpreters.[2] Timing is ideal amid surging demand for global video collaboration post-pandemic, multilingual content creation, and live events/broadcasting, where legacy tools lag in speed and naturalness.[1][3][4] Market forces like remote work, creator economies, and enterprise globalization favor its API-first approach, enabling integrators to augment humans cost-effectively.[2][4] It influences the ecosystem by setting benchmarks for speech AI—bridging interpreter-translator gaps—and powering hybrid human-AI workflows for firms like GIS Group, while acquisitions like Talo expand from enterprise to consumer apps.[3][6]
Palabra.ai is poised to dominate live speech translation with its post-acquisition product suite targeting everyday video calls and streams, leveraging API momentum for rapid scaling.[3][6] Trends like edge AI deployment, more languages (via efficient pipelines), and emotion-aware voices will propel growth, especially as LLMs improve multilingual speech fidelity.[1][4] Its influence may evolve into a core infrastructure layer for global comms platforms, potentially attracting Series A amid proven traction with events and enterprises—echoing its founding mission to make human-like, instant translation ubiquitous.[2]