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Gradium Raises $70M Seed Round, Targeting Ultra-Low Latency AI Voices

AI Voice AI Startups Funding TechCrunch Investors Artificial Intelligence
December 02, 2025
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Article Summary

Gradium, a recently launched startup originating from the French AI lab Kyutai, has announced a $70 million seed round to bolster its development of ultra-low latency AI voice models. The funding, spearheaded by FirstMark Capital and Eurazeo, includes investments from key figures like Xavier Niel and Eric Schmidt, reflecting the growing interest in this niche. Founded in September 2025 by Neil Zeghidour, a former Google DeepMind researcher, Gradium’s technology is designed for developers needing instant, highly accurate voice responses. The company’s initial multilingual support (English, French, German, Spanish, and Portuguese) positions it strategically within a competitive landscape already populated by giants like OpenAI and a multitude of smaller players. The burgeoning demand for AI voice capabilities – driven by advancements in AI agents and expanding use cases in entertainment and work – further underscores Gradium's potential.

Key Points

  • Gradium secured a $70 million seed round led by prominent investors.
  • The startup's core technology focuses on creating AI voice models with ultra-low latency for immediate responses.
  • Gradium’s launch reflects a growing demand for sophisticated AI voice capabilities across diverse industries.

Why It Matters

This funding round and Gradium’s emergence represent a significant development in the race to create truly responsive and realistic AI voices. The ability to generate AI voices with virtually no delay is crucial as AI transitions beyond simple chatbots into more complex applications like virtual assistants and interactive entertainment. This news is vital for developers seeking to build innovative voice-based products and for investors looking to capitalize on the future of human-computer interaction. The fact that a European startup is competing at this level highlights the global nature of AI innovation.

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