Data connections (optional)
These are opt-in additional features.
Fabric's use and transfer of information received from Google APIs to any other app will adhere to Google API Services User Data Policy, including the Limited Use requirements.
3rd party partners
We use Google's OAuth offering as an optional sign-in method. When choosing to use this method, the user makes a specific to join to sign in via Google. Our public marketing site also uses Google Analytics to understand usage and traffic.
We use GPT4 by OpenAI to expand responses from our internal search system into rich responses, and to encode user NLP requests into search queries. This data is anonymised and is never used for model training. This feature is entirely optional and we make the partnership with OpenAI clearly visible before interacting with the feature.
We use Cloudflare as a data storage partner, and all data is encrypted at-rest in the storage and in-transit to and from the storage.
We use AWS as a data storage partner, and all data is encrypted at-rest in the storage and in-transit to and from the storage. AWS also handles our authentication (login, logout, signup), and so securely stores email addresses and user names to support that.
We use Bunny as a secure CDN to serve images at different resolutions to user that have access to see them. For example, if you save an image to Fabric, we use Bunny to be able to serve it to you at multiple sizes on any device with minimal latency.
We use Customer.io to deliver welcome emails to users, as well as updates about the product. You can unsubscribe to these at any time.
We use Twilio to power our real-time in-app chat. All chat messages are encrypted in-storage.
We use Liveblocks to power real-time collaboration features such as shared cursors, or to indicate shared presence when multiple users are together inside a shared document or space. Liveblocks only ever sees an anonymised ID value for the user, never anything more.
We use June to track the anonymised performance of features inside the product, to understand what is useful and what isn't in an aggregate sense. For example, "a new notepad was created 12,000 times this week".