AI Training Practices
Training on Personal Data
Yes
Training on User Interactions
Yes
Training on Public Content
No
AI Data Sharing
No
AI Use Cases
- Content Processing — Artificial intelligence models are used to help users develop Custom Apps based on their natural language instructions, collecting prompts and generated output.
- Recommendation — The Services use predictive models to make suggestions for templates, components, and resources based on historical use.
- Personalization — The Services personalize the user experience, likely using collected information and predictive models.
Risk Assessment
Retool demonstrates strong privacy practices with a comprehensive policy, dedicated DPO contact, and full support for GDPR and CCPA. While data is shared with organizational administrators and other users within an account, this is inherent to the platform's collaborative nature. The absence of a self-service data request form is a minor drawback.
Recommended Actions
- Utilize the dpo@retool.com email for any data access or deletion requests.
- Be aware that data you provide within Retool applications may be accessible to your organization's administrators and other authorized users.
- Review the full privacy policy to understand the scope of data sharing with third-party partners and integrated services.
AI Overview
Trains on user dataYes
Trains on interactionsYes
Opt-out availableNo
AI disclosureYes
Third-party AINo
AI Training Opt-Out
Opt-out availability is unclear.