Cognitive labels for AI
We add the operator’s mental state as a new data modality, giving AI training signals that help it handle ambiguous and complex scenarios.
Zander Labs is a proud partner of Encord, providing access to human context that physical AI systems can learn from.
In our live demo, we combine real-time, multidimensional mental-state predictions with eye tracking, giving an LLM a spatially resolved picture of the user’s cognitive state. This early exploration makes a new kind of human-AI interaction tangible.
Curious? Schedule a one-on-one meeting, or plan a demo with us!

We add the operator’s mental state as a new data modality, giving AI training signals that help it handle ambiguous and complex scenarios.
Our Zypher EEG hardware requires minimal setup and provides high mobility, making it practical to capture brain data at scale during real-world tasks.
We build the infrastructure for human-first robotics, helping machines learn not just what operators do, but how they experience the task: dynamic, context-dependent, and evolving.
Experience a live demo and explore how passive brain-computer interfaces (pBCI) unlock new capabilities in AI, from next-gen data labeling to hyperpersonalization.