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.
The concrete controls in place today, described plainly. No certification we don't hold is claimed.
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.
We believe in being straight with security teams. Here is the honest status of our certifications and what's underway, as an early-stage company.
Bring it to a demo, or email us directly. We'll give you straight answers and the documentation you need.