Zyphra Releases ZUNA1.1: Apache 2.0 EEG Foundation Model Supporting Variable-Length Inputs

Zyphra has released ZUNA1.1, an open-source EEG foundation model under the Apache 2.0 license, notable for its support of variable-length input sequences ranging from 0.5 to 30 seconds. EEG foundation models are a nascent but fast-moving area at the intersection of neuroscience and AI, with applications in brain-computer interfaces, clinical diagnostics, and cognitive state monitoring. The variable-length input capability is a meaningful technical improvement over prior models that required fixed-length windows, making it more practical for real-world EEG data which is inherently irregular. The Apache 2.0 license removes a major barrier for commercial developers and researchers looking to build on or fine-tune the model without legal friction. Developers working on BCI applications, neurotech products, or biosignal processing pipelines should evaluate this as a foundation for downstream tasks.