We built LokiAI because running AI outside the cloud is still far more complicated than it should be. You can have the right model and the right hardware, yet still spend hours dealing with model formats, quantization, memory limits, runtimes, accelerator support, device specific configuration, and deployment failures. LokiAI is our attempt to simplify that entire path. The direction is simple: Describe what you want to run. Choose or connect the hardware. LokiAI figures out how to make it work. Today, we are starting with Edge AI deployment and local inference. Over time, we want LokiAI to become the infrastructure layer between AI workloads and edge hardware, across phones, SBCs, microcontrollers, embedded devices, and accelerators. We are launching publicly because we want feedback from people who have actually tried to run AI on real devices. If you have worked with Edge AI before, what part of the process caused you the most friction?

LokiAI

Edge AI made ridiculously simple!

Edge AI made ridiculously simple!