NEWS
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Pi
Pi
 
Risk Overview
Moderate Risk
5
/10
Conversational AI
·
Top Risks

No consumer opt-out from training—all Pi conversations used to train models by default. Vague data retention policy with no fixed deletion schedule. Microsoft's deep commercial relationship with Inflection creates indirect sovereignty/access complexity. Privacy policy rated as poor on transparency and depth. Emotionally intimate design encourages sharing of highly sensitive personal information.

Mitigations

Use only via API with commercial terms if training opt-out is required. Avoid sharing sensitive personal, financial, health, or professional information with Pi. Request account deletion via profile settings or !delete command to remove data. Monitor Inflection's privacy policy for opt-out additions. Consider alternative platforms with explicit training opt-out controls.

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Highest Risk Categories

The highest-scoring risk categories identified in this assessment.

Training Use

Inflection uses conversation data to develop and train their AI models. No clear opt-out mechanism available for consumer Pi users—ranked worst among major AI platforms for training opt-out. API customers have contractual no-training guarantee, but consumer product trains on data by default with no opt-out found. Privacy policy disclosures described as limited and fragmented.
7
/10

Legal Terms

Binding arbitration for most disputes; class actions, class arbitrations, and jury trials prohibited. Individual disputes only. 30-day opt-out window available by email to techsupport@inflection.ai. California law governs; Santa Clara County/Northern District of California for non-arbitration claims. Standard restrictive consumer arbitration terms.
7
/10

Data Retention

Personal data retained as long as necessary for original purposes, per retention policies and applicable law. No specific fixed retention period published for consumer conversations. Account deletion removes data from Pi systems (accessible via profile or !delete command). Vague retention policy compared to enterprise peers.
5
/10

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Updated July 2026 • AI-assisted research • Reviewed by Verax • Report an issue

Reference Documentation

Official documentation and policies referenced as part of this assessment.