Connectors without confiding
AI assistants become dramatically more useful when they can see your stuff. Search your email. Read your documents. Check your calendar.
Memory that forgets to tell anyone
“I mentioned that last week.” It’s the kind of thing you’d say to a friend, and increasingly the kind of thing you expect from an AI assistant. Memory – the ability to carry context across conversations – is what turns a chatbot into something that feels like it actually knows...
Confer is bringing foundational AI privacy to Meta
I started building Confer because I saw how amazing LLMs are, and as a result, how much of our data is flowing through them. Already, AI chat apps have become some of the largest centralized data lakes in history, containing more sensitive data than anything ever before. We ar...
Sorting secrets: how to organize encrypted data
Confer now supports encrypted folders. You can organize your conversations however you like, give each folder custom instructions, and drag them into whatever order makes sense to you.
Private inference
When you use an AI service, you’re handing over your thoughts in plaintext. The operator stores them, trains on them, and–inevitably–will monetize them. You get a response; they get everything.
Making end-to-end encrypted AI chat feel like logging in
We want private AI chat to be simple. Yet today, many end-to-end encrypted experiences still have a level of friction that make them feel like they’re from another era: it usually either involves a long seed phrase users are asked to “store securely,” insecure password based e...
Confessions to a data lake
I’ve been building Confer: end-to-end encryption for AI chats. With Confer, your conversations are encrypted so that nobody else can see them. Confer can’t read them, train on them, or hand them over – because only you have access to them.