
SelfMachines is a no-code builder for graph-based machine learning trainable agents and compound AI multi-agent systems. Instead of wrestling with frameworks and code, you can assemble customized ML agents from the ground up, starting at the layer level, and put them to work on your own goals.
The platform lets you design complicated deep learning and processing pipelines visually. With graph visualization and orchestration covering both ML models and the processes around them, you always have a clear picture of how data flows and how each component connects—no hidden logic, no black boxes.
Everything runs on a fully in-house developed hierarchical graph engine built to handle this kind of structured work. By simplifying the complexity of AI deployment and training, SelfMachines aims to make AI more accessible to anyone with an idea.

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