Today, we are announcing our seed funding round to accelerate development of Maple. We are building the quietest, most capable personal AI assistant for knowledge workers — entirely local-first, privacy-preserving, and ambient.
We started Maple with a straightforward conviction: the future of AI assistants will not be another web tab or generic chat window. It will be an ambient operating layer that understands your active work context seamlessly.
Where the Capital Goes
Our funding is directed entirely toward engineering: optimizing native Rust background daemons, compiling sub-100ms local vector search indices, and implementing zero-knowledge encrypted sync across devices.
Independent & Craftsmanship-Driven
We are building Maple with extreme respect for computer resources, privacy rights, and software beauty. We invite you to join us on this journey.