Distributed Intelligence OS
DOSFI is the distributed intelligence OS — the OS layer that makes artificial intelligence native to the global device mesh, executing inference at the edge rather than in centralized data centers.
A Distributed Intelligence OS is an operating system that manages the scheduling, routing, and execution of AI workloads across a distributed network of devices — rather than inside a single physical server room.
DOSFI is the first purpose-built distributed intelligence OS. It combines a closed-source distributed scheduler, a distributed routing engine, mesh-native privacy tiers, and the MeshInfer.AI inference runtime into a single coherent OS stack.
The result is an OS that can run massive AI workloads — LLM inference, computer vision, scientific compute — at a fraction of the cost and latency of centralized cloud, with stronger privacy guarantees and no single point of failure.
Distributed Inference Scheduling
Partitions AI workloads into shards and schedules them across the nearest, most capable nodes.
Mesh-Native Agent Execution
Agents run natively on the mesh with signed identities and verified message routing.
Global Distributed Execution Fabric
Every inference workload executes across the global device mesh — no single data center required.