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Memory in neptune.os stores what Ariel has learned about your dealership’s operating preferences, communication standards, and team instructions. Every remembered fact is viewable and correctable. Current business facts always come from live source checks. neptune.os from VisQuanta.

Memory

Ariel learns how your dealership works.

Teach Ariel your store’s house rules, preferred procedures, and permitted relationship context. Ariel remembers preferences and corrections with clear provenance, while always verifying live facts like pricing, stock, and consent against current systems.

Coming soon from VisQuanta.

Dealership preferences and continuity.

Ariel builds an understanding of your dealership over time: who manages which exceptions, how handoffs flow, and how customers prefer to be contacted.

Store preferences with provenance

Store preferences—like routing parts delays to Marcus or keeping delivery packets in a specific folder—are remembered with full attribution. Never wonder where Ariel learned a rule.

Customer continuity across channels

Maintain context across phone calls, texts, emails, and showroom visits. When a customer replies, Ariel connects the thread back to their ongoing journey without repeating questions.

Separate memory from current facts

Memory stores preferences and operating procedures—not inventory pricing, stock availability, or financing rates. Ariel always queries connected live systems for current facts.

Correction, transparency, and rooftop boundaries.

Inspect what Ariel has learned at any time. Make instant corrections and know that store memory never leaks across dealership rooftops.

Inspect and correct anytime

Any team member can view Ariel’s learned preferences and edit or delete them. If a procedure changes or an assumption was incorrect, update it with a single click.

Strict dealership boundaries

Each dealership has its own Ariel and its own isolated memory store. Preferences and customer records from one rooftop never cross over to another.

Clear memory audit log

See when a preference was learned, what triggered it, who approved or corrected it, and how it was applied in daily tasks.

Your team has enough on its plate.

Meet the AI employee being built to carry more of the work, across the systems your dealership already relies on. Coming soon from VisQuanta.