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Nothing on this page is part of the live product. Each item is labelled so it’s clear what is planned and what is history. For what you can use today, see What’s live.

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Federated learning

Status: Planned (research). Federated learning trains a shared model across many devices without collecting their raw data in one place. Each device improves the model locally and only model updates are combined. It fits Elata’s on-device design, because it could let signal-processing models improve without raw biosignals ever leaving users’ devices. It is a research direction, not a live feature. There is no federated training in Elata or the Elata SDK today.

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Open EEG hardware: ElataEEG

Status: Archived. ElataEEG is an open-source EEG hardware project. In 2025 it was upgraded from 8 to 32 channels with reduced noise. It’s no longer under active development, and the current Elata SDK targets consumer headbands instead. See Elata EEG in the Archive and the public elata-eeg repository.

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On-chain research: ZORP

Status: Archived. ZORP is an on-chain research platform for encrypted data contribution and automated participant compensation, which reached testnet in 2025. It’s no longer under active development. See ZORP in the Archive and the public zorp repository.

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Sources