Machine coordination
Robotics and physical controlConnect sensing, control, and power around a shared response to changing conditions. Robotics is our initial focus.
Ask about this work: Machine coordinationEfferent builds software that helps autonomous systems respond to changing conditions and people turn information into decisions.
Machine coordination and data intelligence: two ways to connect information with a useful response.
Connect sensing, control, and power around a shared response to changing conditions. Robotics is our initial focus.
Ask about this work: Machine coordinationTurn business data into recommended actions with an audit trail showing why. The system does the interpretation. People choose whether to act.
Ask about this work: Data intelligence infrastructureAlongside our core offerings, we explore new approaches to AI verification, memory, and structured reasoning. These experimental architectures are evaluated on defined tasks and open to discussion, testing, and improvement.
Experimental architecture for checking structured AI claims against explicit rules and supplied evidence and for flagging unsupported results.
Experimental memory for AI applications, focused on associative recall and retrieval of relevant context.
Experimental approaches to representing meaning explicitly and generating language through defined rules.
We welcome researchers, builders, and potential partners with a question worth exploring together.
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