Case Studies & Applied Research

Mental health support systems today are reactive, fragmented, and unavailable during critical emotional moments. Neuralyn Labs explored whether continuous, emotion-aware conversational AI could provide meaningful real-time support without replacing clinicians.

Pilot complete • Beta system active • Research ongoing

Traditional emotion analysis systems rely heavily on text or facial data. Neuralyn Labs investigated whether voice alone could provide reliable emotional and cognitive signals in real time.

Beta SDK in development • Integrated into HealMind_AI • Expanding signal taxonomy

AI systems degrade over time due to data drift, environment changes, and unforeseen interactions. Neuralyn Labs explored self-healing agents capable of detecting and correcting failures autonomously.

MVP operational • Internal deployment • Governance research ongoing

Bias in AI systems often emerges subtly through language patterns, tone adaptation, and response framing. Neuralyn Labs studied how conversational agents may unintentionally reinforce bias.

Research ongoing • Publishing planned • Integrated into agent governance

In high-risk, isolated environments, human conflict escalates rapidly. Neuralyn Labs explored whether early signals of conflict could be detected before escalation.

Research phase • No operational deployment • Partner discussions exploratory only