DesignTech AI runs on managed, enterprise infrastructure with tenant isolation, role-based access, and clear data ownership, so your team can move fast without putting that edge at risk.
Concrete controls, built into the platform and enforced on every request.
The platform runs entirely on managed, audited providers, each of which maintains its own public trust center and independent certifications.
Every organization's data is separated at the database with PostgreSQL Row-Level Security, enforced on every query. Your content powers your workspace only.
Authentication is handled by Auth0. Access is role-based: users resolve to super admin, organization admin, or member, with permissions scoped to their organization.
AI requests go directly to Google Vertex AI with no third-party routing intermediary. Enterprise model services do not use your prompts or content to train their models.
Everything produced in your workspace is yours to use, publish, edit, and keep. Your content, brand, and source material stay inside your tenant.
We collect what we need to run the service and nothing we can't explain. Our Privacy Policy sets out what we store, why, and how to reach us about your data.
DesignTech AI runs entirely on managed, independently audited providers. Each maintains a public trust center and holds the leading security certifications for the layer it operates.
Application hosting
Runs the application and APIs on isolated, private-networked services with managed TLS and encrypted secrets.
Managed PostgreSQL
Hosts every tenant's data with encryption at rest and in transit, automated backups, and point-in-time recovery.
File storage & Vertex AI
Stores files on Cloud Storage and runs every AI request on Vertex AI, across Google's enterprise platform.
Identity & authentication
Handles authentication and session security on a platform built specifically for enterprise identity.
We'll walk through our controls, share the documentation you need, and answer every question your security review has.