Nvidia backs voice AI startup Gradium, bringing seed round to over $100m

· Source: Sifted · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, Software Development & Engineering · Depth: Fundamental Awareness, quick

Summary

French voice AI startup Gradium has secured an additional \$30 million in funding, extending its seed round to over \$100 million just seven months after its launch. This latest investment includes backing from US chip titan Nvidia. Gradium, which spun out of the non-profit AI research lab Kyutai, previously raised \$70 million from investors like Firstmark and Eurazeo. Kyutai, established in 2023 with €300 million from Xavier Niel, Rodolphe Saadé, and Eric Schmidt, focuses on open-source voice AI research. Gradium develops AI models for real-time text-to-speech, speech-to-text, and voice translation, including specialized models for edge devices. The company also provides an open-source framework for building voice agents, used by enterprises in sectors from customer relationships to healthcare. This new capital will fund a San Francisco office, accelerate research, and boost product development, amidst a rapidly expanding voice AI sector that saw European startups raise €536 million in H1 2026, up from €360 million in H1 2025.

Key takeaway

For AI Engineers and product managers evaluating voice AI solutions, Gradium's rapid development cycle and open-source framework suggest a dynamic market. You should investigate providers offering frequent model updates and robust developer tools to stay competitive. Consider how specialized models for edge devices could optimize your application's performance and reach. The significant investment in this sector indicates a strong growth trajectory, making timely adoption of advanced voice AI capabilities crucial for market relevance.

Key insights

Nvidia's investment in Gradium highlights intense competition and rapid innovation in the voice AI sector.

Principles

Method

Gradium develops AI models for real-time text-to-speech, speech-to-text, and translation, alongside an open-source framework for voice agent creation.

In practice

Topics

Best for: Entrepreneur, AI Engineer, Director of AI/ML, Investor

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Editorial summary, takeaway, and curation by AIssential. Original article published by Sifted.