Close the
Context Chasm.
Collect your digital life. Control who sees it. Use any AI you want. Now it actually knows you.
The full-service context assistant
Every AI shows up hungry.
Gather Your Scattered Digital Life
Your preferences and history are trapped in dozens of apps. RaLHF pulls them together into one private vault, automatically.
Just mention an app in conversation and RaLHF connects to it
Automatic sync keeps your context fresh. Always up to date.
Drag and drop files, forward emails, upload photos and documents
eCommerce, travel, entertainment, wellness, food, finance, and more
Own Your Personal Context
Your context is one of the most valuable digital assets you have. In RaLHF, it belongs to you. Not to a tech company. Not to an AI lab. You.
Private by default
Shared only where you grant access.
Never sold
Never used for advertising. Never used to train AI models.
Export everything, anytime
Delete your account and it all goes away.
Canadian company
Subject to Canadian privacy law.
Connect to Any AI
RaLHF works with the AIs you already use. Claude, Codex, ChatGPT, and more. Connect once, and every conversation becomes personal.
Works with Claude, Codex, and ChatGPT today, and whatever comes next
You decide which AIs can use your context library
No walled gardens. Switch AI apps without losing your context.
One context library, any AI.
Shared Context Libraries
Planning a trip with friends? Running an account team? Share a context library by invite, and everyone's AI works from the same brief. One person adds the context, everyone benefits.
Only the AI sees the shared context. Your friends never see your raw data. Perfect for trip planning, event organizing, and group decisions.
Gets Smarter Every Time
Every project you finish teaches RaLHF something new. After each session, it runs a post-mortem: what context was missing, what worked, and what to do differently next time. Those lessons go straight into your context library.
The feedback loop in action
Without learning, AI catches 9% of critical context gaps before they happen. With RaLHF's feedback loop, that number jumps to 68%. The difference is not a smarter model. It is smarter context.