The quietest AI for the
loudest workflows.
We believe software should serve as a calm, helpful companion—expanding your recall while leaving your attention completely undivided.
Core values we live by
Maple isn't designed to compete for screen time. We run silently until summoned, adhering to three strict engineering principles.
Local-first by default
We refuse to send your raw audio, screens, or documents to remote clouds. Your data stays under your physical control at all times.
Unified semantic context
Isolated chats forget what you did 5 minutes ago. Maple builds a continuous memory tree that bridges browser pages, Slack threads, and local documents.
Calm & non-intrusive
No pop-ups, no spam emails, and no badges. Maple lives in your menu bar, listening to global shortcuts only when you activate them.
Self-funded, independent, and builder-focused
We're self-funded and operating outside the VC hamster wheel. This allows us to focus entirely on performance budgets, cryptography, and product longevity rather than vanity user-growth metrics.
Our engineering team works out of Jabalpur, shipping high-concurrency desktop systems and open-source models directly into production.
How we build Maple
We write clean native desktop code, design vector indices that run sub-100ms, and maintain extreme respect for your CPU resources.
No data leaves your device unless requested. Your encryption keys are stored inside Windows Credential Manager.
We compile customized SQLite bindings designed to semantic-search a million tokens in fractions of a second.
Zero-Data Retention (ZDR) APIs ensure that third-party LLM inference hosts discard context immediately.
Support a quiet, local-first web
Download Maple for free and secure your workspace indices today.