A network of consumer devices running AI models, working together.
Small AI models collaborate to generate better, faster, cheaper results.
Operates without centralized control, allowing anyone to contribute or use the network .
User requests are processed by multiple AI nodes for collective inference.
Nodes refine responses by combining insights from specialized models and tools.
Nodes evaluate each other’s outputs, keeping only the most accurate and relevant results.
The final response is built from the top-ranked contributions in a knowledge tree.
Input data (queries, tasks) is distributed across multiple AI nodes for processing.
AI nodes refine responses, integrating insights from auxiliary models to enhance accuracy.
Low-ranking responses fade out, leaving only the most relevant, high-confidence results.
Top-performing AI nodes optimize output, returning the final refined response.
Access frontier-grade AI inference that scales dynamically without centralized bottlenecks.
Tap into a global AI network that grows smarter with every new node – without retraining models.
Build on an open AI infrastructure, free from centralized control and biases.