

Longitudinal voice datasets CNS drug development. Enable digital biomarker discovery, stratification, and sensitive clinical endpoints.
Study cognitive and linguistic change over time using conversational datasets.
Train machine learning models using unique real-world conversational audio and transcripts.
Capture how cognition, language, and engagement evolve over time outside artificial lab settings, through continuous real-world conversational interactions.


Access full conversational audio, transcripts, linguistic features, vocal characteristics, engagement metrics, and longitudinal behavioral patterns derived from real-world cognitive interactions.


Clean, structured longitudinal datasets built for analysis, comparison, and population-level insights, suitable for research, AI, and clinical development.
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Built under the supervision of a scientific committee led by experienced clinicians, neuroscientists, and AI experts.
Our infrastructure undergo regular independent audits and penetration testing conducted by leading cybersecurity firms.
Fully anonymized, consent-based, and compliant with major data protection and research ethics frameworks.
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