In-Q.AI is a zero-retention, end-to-end encrypted AI platform that lets finance and legal professionals upload, analyze, and chat with confidential documents. Built on AES-256 encryption, TLS 1.3 transport, strict row-level security, and SOC 2 / GDPR-ready infrastructure. Part of the Raqi AI family.
Upload PDFs, Word documents, spreadsheets, scanned images, and web URLs into private workspaces. Ask questions in natural language and get cited answers grounded in your own files. Extract financial tables, compute growth rates, surface obligations and risk clauses in contracts, and run multi-document analysis across English, Arabic, and Persian.
Zero data retention by default. AES-256 encryption at rest, TLS 1.3 in transit, strict Postgres row-level security on every table, OAuth and email-OTP authentication, and a three-layer Defense-in-Depth architecture described on our Privacy Framework page. Regular Aikido security scans, audit trails, and auto-delete timers keep regulated industries compliant.
Investment teams, audit and compliance groups, in-house legal counsel, law firms, and regulated enterprises that cannot send confidential data to public LLM providers.