Concise product, security, data-control, deployment, and evaluation answers for buyers, developers, search engines, and AI discovery systems.
NanoNeuron Universal AI Memory is private infrastructure that stores approved organizational context with provenance, validity, consent, correction, and deletion controls so authorized AI applications can recall it across sessions.
Chat history preserves conversations. Universal AI Memory stores selected facts and preferences as governed records with sources, confidence, namespaces, validity periods, audit events, and explicit lifecycle controls.
The client controls its submitted data and memory records. NanoNeuron provides access, correction, export, retention, consent, and permanent-deletion workflows subject to the service agreement and applicable law.
Yes. Authorized users can review, correct, supersede, revoke, export, or permanently delete memory records. Audit events record governed lifecycle actions without making deleted content available for recall.
NanoNeuron does not position client memory as public model-training data. Model-provider processing depends on the client-approved integration and contract; sensitive actions and data flows remain governed.
Server-side identity checks, tenant-scoped database queries, namespaces, payment-gated access, API scopes, and audit records isolate client data. Public URL slugs are never treated as authorization credentials.
It monitors authorized public or client-approved sources, detects important price, stock, catalogue, documentation, and LLM changes, verifies evidence, estimates business impact, and prepares human-controlled recommendations.
No. The authorized collector is designed for permitted HTTPS sources and includes protections for private networks, redirects, response size, timeouts, and robots policies. Source authorization and legal review remain required.
NanoNeuron can recommend and prioritize actions, but consequential actions require authorized human approval unless a separately governed workflow explicitly permits bounded automation.
The public frontend and application APIs are both deployed on Vercel, and production relational data is stored in Supabase PostgreSQL. Database and payment credentials are held by the backend, not the browser.
No. NanoNeuron uses paid onboarding, evaluation, pilot, implementation, subscription, and support offers. Current scope and pricing are confirmed before payment.
Start with a bounded paid workflow, approved sources or test cases, a named owner, measurable acceptance criteria, and a review period comparing evidence quality, reliability, decision usefulness, and verified value.