Exploring architectures where voice, vision, and system state are treated as co-equal inputs rather than independent channels. The goal is to reduce fragmentation in how context is represented and accessed over time.
Early prototypes suggest that persistence and memory organization matter as much as model capability. The research focus is shifting from “how smart is the model?” to “how well does the system learn itself over time?”
Treating bandwidth and locality as core design constraints changes how autonomy and privacy are approached. VAI-Nova is increasingly oriented toward architectures that work even when disconnected from the cloud.