MachineFi Labs develops Trio, a multi-modal AI system that processes live video, audio, and sensor streams to generate structured, operational intelligence for physical environments. The system is designed for deployment across cloud, edge, and on-premises infrastructure, supporting real-time use cases that require actionable outputs from diverse sensory inputs.
Trio is OpenAI-compatible and converts real-world inputs into structured, LLM-ready data, providing real-time action signals suitable for integration with agents and robots. The company's technical work spans multi-modal AI, computer vision, audio processing, and sensor data fusion.
The company targets industries including logistics, manufacturing, smart cities, healthcare, hospitality, and franchise operations. Its focus is on practical applications where continuous analysis of physical environments can drive operational decision-making.
