Product
AI is moving from tools to relationships. The next generation will remember
what matters, understand context, and grow through repeated interaction.
Voice AI
Emotion is not only in words. It lives in pauses, timing, tone, interruption,
and silence. Entropy's voice system listens while it speaks, adapts in real time,
and turns conversation into a signal for memory, trust, and relationship.
Orchestrated full-duplex voice: VAD-driven barge-in with streaming on-device inference, enabling real-time interruptions and natural turn-taking.
Experimental Demo
Every interaction changes the relationship. AI characters remember shared
experiences, respond to trust and disappointment, and grow with you over time.
A persistent sandbox is the right testbed for long-term interaction, memory, relationship, and consequence.
550ms
voice-to-voice
$0
inference cost
100%
on-device
No servers. No API calls. No usage limits. Just local AI, shipping with the application.
Architecture
Purpose-built for real-time character worlds, not a chatbot in costume. Post-trained to maintain character identity, respect lore boundaries, and select contextually appropriate actions — all at 4ms time-to-first-token on consumer hardware.
Voice conditioned on dialogue history and live interaction context. The model adjusts pacing, tone, and emotion to match the moment — real-time, interruptible, and fully local.
A trained retrieval system that surfaces the right memories at the right moment. Characters recall what matters — not everything, not nothing — across sessions and across the entire world.
A bidirectional bridge between behavior trees and neural reasoning. The runtime feeds semantic signals in; the model returns actions with full execution feedback. A continuous cognitive loop, not one-shot generation.
An orchestration layer that tracks narrative beats, monitors world state, and coordinates character behavior within designer-defined boundaries. Stories emerge through interaction, anchored by authored structure.