Stellon Labs

Stellon Labs occupies a specific, valuable niche: making frontier AI run on hardware that most AI companies ignore. Their focus on sub-1 MB models with real-time inference is rare and genuinely useful for embedded and IoT applications. Choose Stellon when you have strict hardware constraints—think battery-powered sensors, microcontrollers, or privacy-sensitive on-device processing. Their research-first approach means you get cutting-edge techniques like quantization-aware training and custom fine-tuning. They are not a vendor of plug-and-play AI tools, but a research partner. Pass if you need a cloud API, large language models, or multimedia generation. They don't offer those. Also skip if your team lacks embedded systems expertise—their models require integration know-how. Compared to competitors like Edge Impulse or TensorFlow Lite Micro, Stellon differentiates on model architecture research rather than platform tooling. They publish open-weight models for the research community, which developers can adapt. In practice, expect to collaborate closely with their team. There's no self-serve dashboard or commercial product yet. If you're an edge AI researcher or hardware engineer with a challenging use case, Stellon Labs warrants a conversation. For broader AI needs, look elsewhere.