PARIS / LONDON (IT BOLTWISE) – Paris-based AI startup Gradium has broken cover and secured an impressive $70 million in seed funding. The company, which emerged from French AI lab Kyutai, plans to revolutionize the speed and accuracy of language models. With support from investors such as FirstMark Capital, Eurazeo and telecom billionaire Xavier Niel, Gradium aims to advance the development of AI voices.
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Paris-based AI startup Gradium recently raised a remarkable $70 million in seed funding. This funding round was led by renowned investors such as FirstMark Capital and Eurazeo, with additional support from the likes of Xavier Niel and Eric Schmidt. Gradium, which emerged from the French AI lab Kyutai, aims to advance the development of ultra-low latency language models.
Founded in September 2025 by Neil Zeghidour, a former researcher at Google DeepMind, Gradium is focused on providing language models that can respond in near real-time. This technology could be of particular interest to developers looking for faster and more accurate voice solutions. As a European company, Gradium has offered multilingual support from the start, including English, French, German, Spanish and Portuguese.
The market for AI voice solutions is highly competitive. Companies such as OpenAI, Anthropic and Meta Llma have already developed multimodal models that include speech and language recognition. Startups like ElevenLabs and numerous models on platforms like Hugging Face also offer developers a variety of options. Still, Gradium sees growing demand for ultra-realistic voice output, which could become even more important in the future as AI is increasingly used in areas such as entertainment and work.
The investment in Gradium demonstrates investors’ confidence in the company’s ability to compete in a saturated market. With the support of Kyutai and the expertise of Neil Zeghidour, Gradium could play a significant role in the advancement of AI speech technologies. The future of AI voices is bright, and Gradium is well positioned to capitalize on this trend.
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