AI that knows you.
Early AccessConText was originally engineered as high-security infrastructure for a neural medical device, where data privacy is paramount. By keeping data encrypted and stored strictly on-device, we ensured total user protection. We soon realized this localized approach solves the biggest hurdle in generative AI: giving LLMs the personal context they need to be powerful without ever compromising user privacy.
Safe, secure, local, powerful.
Find me a nice place to eat that suits my taste and budget in Palo Alto using ConText
Let me look through your ConText vault for your dining preferences and budget!
Great, I've gathered enough ConText data to understand your taste. You clearly enjoy quality dining — so you're comfortable in the upscale-but-not-stuffy range. Let me find the right spot in Palo Alto.
Based on your ConText data, you enjoy seafood and Mediterranean-style food. You're comfortable in the upscale range without needing to go ultra-formal. My top pick for you is Evvia Estiatorio — a beloved Greek-Mediterranean spot in downtown Palo Alto with a 4.6 rating and incredible seafood (the octopus and whole grilled fish are consistently praised). It's not the most expensive option, but the quality is excellent. If you want to splurge a bit more, Protégé is a Michelin-starred spot right in Palo Alto that would rival the best meals you've had.
An example of enhancing Claude by providing access to ConText via MCP.
ConText gives you granular control over your personal data. Securely share only the specific data your AI agents need to serve you better, while keeping everything else private.