Agentic cardiac intelligence

The body is an instrument. We are the studio.

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.

Patent-pending architecture

Spatial Audio Multi-Site Alignment

Aortic 60 Hz
-∞ dB
Pulmonic 62 Hz
-∞ dB
Tricuspid 61 Hz
-∞ dB
Mitral 65 Hz
-∞ dB
Gated Cross-Attention
Proprietary alignment of multi-site temporal data

Published validation

SOTA Clinical Benchmarks

SOTA Benchmark Performance 0.865

F1-Macro on CaReSound

Lightweight encoder achieves state-of-the-art performance on the largest multi-auscultation dataset, outperforming heavyweight general-purpose models.

Semantic Alignment Fidelity 0.952

BERTScore

The AI doesn't guess—it truly understands the language of the heart. Frozen embeddings maintain clinical consistency across inference.

Multi-Site Spatial Redundancy

Gated Cross-Attention Alignment

Unique IP: Using multiple sensors fixes temporal truncation common in single-stethoscope approaches. Redundancy = robustness.

Real-time analysis

Clinical Insight Terminal

Initializing Gated Cross-Attention...
Analyzing S1/S2 heart sounds...
Cross-referencing spatial embeddings...
Aligning multi-site temporal data...
Diagnosis: 98% probability of Mitral Valve Prolapse
Confidence interval: [0.94, 1.00]
Gain
Temporal Focus
Neural Depth

Healthcare-native infrastructure

Built on Google Cloud

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.

GCP

"Better medicine starts with better signal processing at the bedside."

Audio Fantastic

Ready to transform cardiac assessment?

We're building the operating system for clinical acoustic intelligence. If you work in healthcare, research, or medical innovation, let's talk.