F1-Macro on CaReSound
Lightweight encoder achieves state-of-the-art performance on the largest multi-auscultation dataset, outperforming heavyweight general-purpose models.
Agentic cardiac intelligence
Beyond Isolated Classification: Holistic Patient-Level Assessment. Audio Fantastic doesn't just "listen"—it aligns multi-site acoustic signals with frozen LLM embeddings to provide a complete clinical picture, achieving a 0.865 F1-macro on the CaReSound benchmark.
Built for journals, hospitals, and healthcare systems using Google Cloud's healthcare-native Vertex AI.
Patent-pending architecture
Published validation
F1-Macro on CaReSound
Lightweight encoder achieves state-of-the-art performance on the largest multi-auscultation dataset, outperforming heavyweight general-purpose models.
BERTScore
The AI doesn't guess—it truly understands the language of the heart. Frozen embeddings maintain clinical consistency across inference.
Gated Cross-Attention Alignment
Unique IP: Using multiple sensors fixes temporal truncation common in single-stethoscope approaches. Redundancy = robustness.
Real-time analysis
Healthcare-native infrastructure
Encrypted HIPAA-compliant data lakes ensure all acoustic embeddings meet the strictest regulatory standards.
Vertex AI training pipelines enable rapid model iteration while maintaining data sovereignty.
Audio Fantastic is architected for scale—from pilot studies to publication pipelines.
"Better medicine starts with better signal processing at the bedside."
Audio Fantastic
We're building the operating system for clinical acoustic intelligence. If you work in healthcare, research, or medical innovation, let's talk.