AIand
A decentralized inference network powered by underused GPUs. Built for sovereignty, verified for security, and designed for maximum energy efficiency.
Four ways to start with Infera
Reduce AI costs, monetize available compute, federate local capacity or govern your AI APIs: each path keeps market standards while making routing, trust and costs controllable.
Progressively move open-weight-friendly workloads to an OpenAI-compatible API without rewriting integrations. Start with fast-ROI flows, then extend policies for cost, residency, availability and trust.
Let a machine or fleet contribute when it is available, without exposing LocalAI directly and without moving private keys outside the node.
Bring trusted actors into a governed AI capacity layer: service continuity, local pooling, measurable sovereignty and shared rules.
Centralize AI usage control: routing policies, audit trails, sensitive-data detection, privacy, costs, quotas and trust levels.
How it works
A production path designed to stay simple for clients and controlled for providers.
Applications keep a familiar API surface while choosing the right trust envelope for each workload.
The control plane evaluates routing, node trust, and availability before dispatching work.
Agents pull tasks from the network and execute them close to the hardware boundary.