ZANUS AI FOR UNIVERSITY & RESEARCH — GRANTS & PAPERS
Grant proposals, published papers, institutional policies, funding-agency guidelines, committee minutes — loaded into curated libraries the AI reads from. Ask in plain language; get the answer with the source cited, at the permission level of whoever asks.
Private tenant or your own servers · unlimited users · FERPA-conscious handling

Libraries: current policies outrank drafts, final proposals outrank versions — you set the order.
PDFs, Word, spreadsheets, scanned agreements, images and media — the ingestion pipeline turns what the institution actually holds into queryable knowledge.
No source in your library, no claim: the AI cites the paper, the policy, the award document — or says it cannot answer. Critical for work that gets peer-reviewed.
A grad student asks about lab procedures; the department chair asks about budgets: each gets answers scoped to their role, enforced server-side.
“Which of our published papers used this method?” “What did the 2019 site-visit report recommend?” “What is the current policy on data retention?” The archive answers in seconds, with documents attached — instead of a week of hunting across shared drives and inboxes.

Only roles you authorize. Permissions reach the field level and the server redacts what a user cannot see — FERPA-conscious handling by architecture, not by policy memo.
Never. Your tenant is isolated; your institutional knowledge is yours alone — and the on-premises option keeps it physically inside your facilities.
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