Architecture reality check

Built to work.
Built to last.

Look beyond the demo. See how the right foundations turn an AI idea into a system your team can depend on.

PUBLIC TOOL VS. ENTERPRISE SYSTEM

Most AI tools were not built for your compliance, your data, or your audit requirements.

DeView builds the version that is. Here is what changes when you move from a public AI service to a purpose-built enterprise deployment.

PUBLIC AI SERVICE

Your data processed on shared servers
No control over data retention or deletion
No access to your internal systems or documents
No uptime guarantee: best-effort only
Not designed for GDPR, PDPO, or financial regulation
No audit trail for regulatory review

ENTERPRISE AI DEPLOYMENT

Deployed in your own cloud or on-premises environment
Full data sovereignty: your data never leaves your control
Connected to your CRM, ERP, documents, and workflows
Uptime monitoring with alerting and fallback
Designed for GDPR, PDPO, MAS, and HKMA requirements
Full audit log: every action, every user, every timestamp

If your team is using a public AI service for anything that touches client data, financial records, or regulated workflows: you are taking on compliance risk that a proper deployment eliminates. This is what DeView fixes.