Demo mode. Local mock AI.

Trust center

Trust documents in one place.

A single public hub for the policies, controls, and operating signals teams need before they paste code into Sensei.

Last updated · October 22, 2026

Privacy

Code-first

Customer code is not used for model training

Data rights

Export, delete

JSON export and account deletion from Settings

Status

Public

Service components and issue reporting at /status

Program

Trust pillars

Sensei separates trust into clear surfaces: security controls, privacy commitments, reliability status, and legal documentation.

Posture

Current posture

These signals describe how Sensei handles data today. Enterprise-specific reviews can be handled through the contact path.

Row Level Security

Scoped data access

In real mode, database policies return only the rows that belong to the signed-in user, so one account cannot read another account's analyses.

Data rights

Privacy alignment

Policies are structured around access, export, deletion, sub-processor transparency, and data minimization.

No training

Code handling

Customer code submitted for analysis is not used to train foundation models or sold to third parties.

Documents

Public trust library