Autonomous nodes. One resilient mesh.
A single DAI Node can run AI locally and independently. But when multiple nodes connect, they can work together as one distributed AI network, sharing computing power, exchanging data, and coordinating tasks through peer-to-peer connections.

Cooperation without a central compute hub.
Each node advertises its resources, negotiates relevant work and keeps control of its local data and services.
From one autonomous device to a private AI network.
DAI-MESH does not require an organization to contribute compute to a public network. Choose an architecture aligned with privacy and operational needs.
Local AI, fully under your control
Run local AI models, private agents and document workflows on your own device without mandatory cloud inference.
Build your own private AI network
Connect multiple authorized nodes on-site or over secure links. Keep workload policies, devices and selected data under organizational control.

DAI Node
An autonomous local-first AI device. Private model inference, document intelligence and optional participation in DAI-MESH.

Your infrastructure. Your network policies.
A private DAI-MESH deployment is designed to keep core compute, device control and selected data workflows inside an organization’s own infrastructure — without requiring public network participation.
- Isolated deployment and local ownership of nodes
- Policy-controlled data sharing and task execution
- Architectural support for redundancy and energy-aware scheduling
Local-first by design. Cooperative when connected.
Each DAI node can operate independently, but when connectivity is available, nodes can exchange status, structured observations, and digital twin updates through peer-to-peer links, without depending on a central server.
Possible communication channels include:
Internet
for wide-area peer-to-peer connectivity between distant nodes
Local Wi-Fi / LAN
for fast direct communication without cloud dependence
Meshtastic / LoRa mesh
for low-bandwidth telemetry, node health, and lightweight state updates in off-grid or constrained environments
Cellular networks (4G/5G)
for mobile or remote deployments
Satellite links
for field operations where terrestrial connectivity is unavailable
Help test the first physical DAI-MESH network.
We are progressing from simulations and prototypes toward real-world distributed inference. Join the early interest list as a user, compute contributor or private-network partner.
