ConceptLocal-first AI and connected computing
MindMesh
A local-first approach to AI, where devices compute privately and connect into a resilient mesh of intelligence.
- Product
- MindMesh
- Stage
- Concept
- Category
- Computing
- Focus
- Local-first AI
Overview
What we're building
MindMesh is a concept exploring what computing looks like when intelligence lives close to the user. Devices run AI locally for privacy and speed, then connect into a mesh, sharing capability without surrendering control to a distant central server.
Local-first
AI runs on the device by default, private, fast and available even when disconnected.
Meshed intelligence
Devices connect peer-to-peer, sharing capability into a network that has no single point of failure.
Privacy by design
Data stays where it belongs. The mesh shares intelligence, not your private information.
Capabilities
- On-device AI inference
- Peer-to-peer mesh networking
- Offline-capable intelligence
- Privacy-preserving computation
- Resilient, decentralized topology
- Cross-device coordination
- Local data ownership
- Edge-native architecture