Voice-based diagnostic platform detecting health conditions from speech
Amplifier Health applies speech-processing ML (PyTorch, Hugging Face, TensorRT) to detect clinical-grade biomarkers from raw audio — positioning voice as a measurable vital sign. The stack and project list (self-supervised learning on unlabeled audio, novel acoustic architectures, clinical biomarker discovery) reveal heavy investment in model quality over infrastructure. Hiring velocity is accelerating across sales, engineering, and research, but the lack of an SDR team and early-stage sales playbook suggest they're still finding product-market fit in enterprise healthcare.
Notable leadership hires: Chief of Staff
Amplifier Health develops a voice-based diagnostic platform that analyzes speech patterns to detect and monitor health conditions. Founded in 2023, the Calgary-based startup is building toward FDA-grade biomarker detection across multiple disease areas. The company is actively pursuing both B2B enterprise channels (API integration into healthcare platforms) and direct-to-consumer routes, while managing cloud spend and structuring pricing tiers. With 2–10 employees, the team is currently hiring across engineering, research, sales, and executive functions, signaling preparation for clinical validation and commercial expansion.
PyTorch, Hugging Face, TensorRT, ONNX for ML; Python, Go, C++ for backend; Kubernetes, Docker, Terraform for infrastructure.
Calgary, Alberta, Canada. Founded in 2023 and currently a 2–10 person privately held company.
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