Melo develops behavioral analytics software designed to support care for individuals with dementia and brain injury. The company’s platform focuses on monitoring cognitive and emotional patterns to provide clinicians with actionable insights into patient behavior. Its approach leverages continuous data collection to inform more personalized care strategies. Melo positions its technology within clinical care and digital health contexts.

The technology analyzes behavioral signals such as activity patterns, interaction dynamics, and emotional indicators to detect changes in cognitive or psychological state. Machine learning models are applied to identify trends and anomalies that may signal progression, distress, or response to intervention. These insights are presented to clinicians in a structured format that supports decision-making and care planning. The system emphasizes longitudinal monitoring rather than episodic assessment.

Melo targets healthcare providers involved in dementia care and rehabilitation following brain injury. The platform is intended to support clinical teams by enhancing visibility into patient behavior between formal assessments. Its focus reflects growing interest in behavioral data as a complement to clinical observation in managing complex neurological conditions.