We are building Maple out of Jabalpur, India, with a tight-knit team of engineers and designers. As we progress through our development milestones, we want to share the architectural and philosophical choices that guide our work.

We chose to remain independent and self-funded so we never have to monetize user data or sacrifice local privacy for venture growth metrics.

The AI landscape is currently flooded with generic browser wrappers and centralized cloud wrappers. We chose an entirely different path: native desktop systems, local vector stores, and zero-knowledge encryption.

Where Our Engineering Focus Lies

During this development phase, every sprint is dedicated to performance optimization: trimming memory footprints, reducing battery draw during background OCR, and compiling custom Rust bindings that search vector embeddings in under 100 milliseconds.

A Calm, Craftsmanship-First Culture

We are building Maple for professionals who value software craftsmanship, quiet utility, and uncompromising privacy. We invite developers and early testers to follow along as we ship weekly preview builds.