Maple ✓

Maple is a personal AI tool designed with privacy at its core, aiming to cater to both home and work life scenarios. Its primary operations encompass offering a secure workspace for complex inquiries, with an emphasis on privacy.

This entails engaging in lengthy conversations, analyzing documents and images. The AI tool is described as capable of retaining information shared with it, implying a type of learning that makes it a progressively supportive companion.

Maple is devised to function under a privacy-first architecture that includes open models that can be audited by the users. In contrast to other AI tools, it runs inside encrypted enclaves to ensure the privacy of user conversations.

While processing data through AI, it uses Trusted Execution Environments to isolate user conversations. This tool maintains user conversations strictly under their control, staying end-to-end encrypted.

In particular, Maple reaffirms that user data is neither shared with AI companies, advertisers, nor used to train its AI. It also introduces a unique promise of 'long-term memory' to remember user inputs against the industry norm of resetting each chat.

This personal AI promises a balance between utility and privacy, differentiating itself through providing open and inspectable AI processes.