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.

A world map of glowing DAI nodes linked into one mesh

Cooperation without a central compute hub.

Each node advertises its resources, negotiates relevant work and keeps control of its local data and services.

Local autonomyIndependent node services
P2PNode discovery and routing
ResiliencePlanned failover mechanisms
FlexiblePrivate or shared participation
Flexible deployment

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.

One independent device

Local AI, fully under your control

Run local AI models, private agents and document workflows on your own device without mandatory cloud inference.

A compact DAI Node tower on a desk beside a monitor

DAI Node

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

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

Early access / network beta

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.