Companies / Floot / Subprocessors
Floot lets people build and publish apps by describing what they want to an AI assistant, with backend, database, and hosting included. It serves people who want to create apps without using git, a terminal, or coding.
Summarized from its homepage on 8 Nov 2026.
Subprocessors of Floot
Floot declares 15 subprocessors, including AI providers Anthropic, Baseten, Cerebras, Fireworks AI, OpenAI, fal.
From the company's own list.Read the source
| Subprocessor | Purpose |
|---|---|
| Hosting for the Floot platform and every hosted application: serverless compute, object storage (including project code and builder chat history), email delivery (SES), content delivery (CDN), logs, push notification configuration. All Data stored or served by hosted applications. | |
| AI model inference (Claude), through the Anthropic API and Claude Platform on AWS (operated by Anthropic). Builder prompts, project files and chat; End-User Data when a hosted application uses AI features. No training on customer content. | |
| Apple Push Notification service (APNs): delivery of native push notifications to iOS devices, including notification content. | |
| AI model inference (open-weight models). Builder prompts; End-User Data when a hosted application uses AI features. No training. | |
| AI model inference for the Floot AI builder: builder prompts, project files and chat. Never receives End-User Data. | |
| Managed PostgreSQL for each customer application's own database (End-User Data). | |
| AI model inference (open-weight models). Builder prompts; End-User Data when a hosted application uses AI features. No training. | |
| GitHub Actions: builds of customers' native app code, including signing materials. | |
| AI model inference and image generation (Gemini API, paid tier; Vertex AI, global endpoint): builder prompts, project files and chat; End-User Data when a hosted application uses AI features. Firebase Cloud Messaging: delivery of native push notifications. No training on customer content. | |
| AI model inference, image generation and web search. Builder prompts, project files and chat; End-User Data when a hosted application uses AI features. Requests sent with storage disabled. No training on customer content. |
5 more subprocessors
See the full list with purpose, location and first seen date.
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