About

RUREE Ventures is a small software studio building AI-native tools for personal work.

We make apps for the things people do alone with their own information — capturing memory, finding what matters, preparing for what comes next. Our products are quiet, private, and built to be owned rather than rented.

What we build

Edubba — A personal memory app for Mac. Capture anything, find it later, never organize it. Available on the Mac App Store. → edubba.app

Factis — A meeting companion. Coming soon.

Reskim — An interview sidekick. Coming soon.

Three products, one through-line: software that helps an individual work with their own information, on their own device, without giving anything to anyone.

How we build

Local-first. Your data lives on your device. Our apps don't depend on our servers because we don't have any. Delete the app and your data goes with it.

Bring your own keys. When our apps use AI, they use your API keys — not ours. You pay providers directly, you control what gets sent, and we never see your queries.

One purchase, not a subscription. When you buy a RUREE Ventures app, you own it. No recurring charges. We aim to make money by building software people want to buy, not by collecting rent.

Quiet software. Our apps don't ping you, don't gamify your usage, don't have growth loops. They sit there, ready, when you need them.

Behind RUREE Ventures

RUREE Ventures is an independent California-based studio. The work draws on more than three years of building AI platforms and production applications at scale — experience that informs how we think about what AI should and shouldn't do for individual users.

We operate as an LLC, with no outside investors. The studio is small by design: a deliberate set of products, made carefully, maintained for the long term.

Get in touch

For questions, press inquiries, or general curiosity: info@rureeventures.com

For support on a specific app, the app's own support address is faster:

Why we built this

Most AI software is designed to maximize what gets extracted from users — attention, data, queries, monthly recurring revenue. We wanted to make the opposite kind of software: AI tools where the person using them owns the data, owns the keys, owns the experience.

The technology to build this way is finally good enough. Local models are fast. On-device search works. Provider APIs let you bring your own keys. There is no longer a technical reason to build AI software that treats users as a resource — only a business one. We are betting there is a market for software built the other way.