Gradium’s $100M Voice AI Seed Meets Medical Model Gains
Monday, July 13, 2026 · 8 min
Gradium raised $100 million for low-latency voice AI as Nature Medicine reports NeuroVFM trained on 5.24 million clinical MRI and CT volumes, while new neuromorphic and chemistry papers push efficiency and molecular design.
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Gradium raised $100 million for low-latency voice AI as Nature Medicine reports NeuroVFM trained on 5.24 million clinical MRI and CT volumes, while new neuromorphic and chemistry papers push efficiency and molecular design.
In this episode
- Voice AI Startup Gradium Raises $100M for Global Expansion — Ventureburn
Voice AI Startup Gradium Raises $100M for Global Expansion # Voice AI Startup Gradium Raises $100M Seed for Global Expansion Key Takeaways Gradium closed a $100 million seed round after securing a new extension from chipmaker Nvidia. Gradium develops ultra-low latency voice AI models for real-time transcription and multilingual speech synthesis. The capital injection will fund a new office…
- Health system learning enables generalist neuroimaging models | Nature Medicine — Nature Medicine
Health system learning enables generalist neuroimaging models | Nature Medicine Download PDF ### Subjects ## Abstract Frontier artificial intelligence (AI) models have advanced rapidly through training on internet-scale public data, yet such systems lack access to private clinical data. Neuroimaging is underrepresented in the public domain due to identifiable facial features within magnetic…
- Cerebellum-inspired memtransistors enable emergent differentiation for hardware-efficient novelty detection | Nature Communications — Nature Communications
Cerebellum-inspired memtransistors enable emergent differentiation for hardware-efficient novelty detection | Nature Communications Download PDF ### Subjects - Electrical and electronic engineering - Electronic devices ## Abstract Artificial intelligence (AI) algorithms are currently executed using silicon-based hardware, resulting in excessively high energy demand for data centers. Edge…
- Navigating chemical-linguistic sharing space with heterogeneous molecular encoding | Nature Communications — Nature Communications
Navigating chemical-linguistic sharing space with heterogeneous molecular encoding | Nature Communications Download PDF ### Subjects - Cheminformatics - Method development - Physical chemistry ## Abstract Chemical language models are powerful tools for navigating chemical space, but their reliance on linear representations such as molecular strings creates a semantic gap, hindering their…