AI assistants are becoming a regular part of online life, but confidence in how they handle personal information has not kept pace. These tools often encourage users to speak openly, sharing thoughts and concerns that would normally stay private. In many cases, that information does not simply vanish once the conversation ends.
Concerns have grown as more AI companies explore advertising as a business model. If chat-based assistants follow the same route as social media or search platforms, personal conversations could quietly become another source of data.
A new AI service launched late last year is trying to avoid that direction. Known as Confer, the platform is built around the idea that conversations should remain inaccessible, even to the company running the service.
How Confer Keeps Conversations Out of Reach
For users, the experience feels familiar. Questions are typed in, responses appear, and conversations can continue over time. The difference lies behind the scenes. Messages are encrypted, and the system is structured so conversations cannot be read, stored, or reused in any meaningful way.
This design reflects how people actually use AI assistants. Many turn to them to think through problems, uncertainty, or personal decisions. Over time, these exchanges can reveal more than a browsing history ever could. Treating that level of insight as a business asset has raised concerns among privacy-focused users.
Rather than relying on policy promises, Confer builds limits directly into its technical setup. Messages are protected during transmission, and AI processing happens inside secured environments designed to remain isolated. Regular checks help ensure the system has not been altered.
Because conversations are never available in readable form, they cannot be used for training models or targeted advertising. There is nothing meaningful to collect.
This approach comes at a cost. The free version allows limited daily use and only a few active chats. A paid plan costs $35 per month and removes those limits while offering access to more advanced models and personalization. It is more expensive than many mainstream AI subscriptions.
The idea behind Confer is simple. If a service is cheap, the cost often appears elsewhere. In this case, the bet is that some users would rather pay directly than question how their conversations might be used later.
As AI tools become more closely tied to everyday thinking and decision-making, services like Confer are testing whether privacy can still be treated as a priority rather than an afterthought.
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