
Deepsound AI provides high-precision sound analysis to identify events and patterns in audio. It uses deep learning and AI to classify sounds and extract actionable signals for healthcare and research. The technology targets non-invasive disease diagnostics and emotion detection from voice. Category: B2B AI/audio analytics platform serving labs, clinics, and organizations requiring advanced sound analytics. The platform emphasizes scalable analysis, potential integrations with data workflows, and broad applicability across medical and research use cases.

Deepsound AI provides high-precision sound analysis to identify events and patterns in audio. It uses deep learning and AI to classify sounds and extract actionable signals for healthcare and research. The technology targets non-invasive disease diagnostics and emotion detection from voice. Category: B2B AI/audio analytics platform serving labs, clinics, and organizations requiring advanced sound analytics. The platform emphasizes scalable analysis, potential integrations with data workflows, and broad applicability across medical and research use cases.
Founded: 2020
Core tech: Deep-learning audio analysis for diagnostics and emotion detection
Business model: B2B AI/audio analytics platform serving labs, clinics, and organizations
Founders: Alex Irkov; Slava Vyshegorodtsev
Automatic extraction of diagnostic and emotional signals from audio for healthcare and research applications.
2020
Data and Analytics
35000 USD