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Community & Business Groups

Web AI for Time Series Community Group

The Web AI for Time Series (WAITS) Community Group advances real-time analysis of time-dependent data — including financial transactions, behavioral logs, and sensor streams — while ensuring the security and integrity of deployed AI models, the protection of incoming data streams, and the confidentiality of both usage and users.

By leveraging web-native technologies such as WebAssembly, WebGPU, WebNN, and WebRTC, the group promotes open standards for decentralized, browser-based inference on time series data, supporting both federated and edge AI scenarios. The group explores various time series AI architectures including LSTM networks, temporal transformers, and state-space models, focusing on their efficient implementation in web environments.

The group focuses on identifying real-world use cases, exploring architectural patterns, and drafting guidelines to support decentralized, privacy-preserving AI on time series data. As part of this effort, its initial objective is to map existing Web APIs that could serve as a foundation for time series AI workflows, while ensuring interoperability with related standards such as WebGPU, WebNN, ONNX Runtime Web, and the Generic Sensor API.

Special attention is given to model security mechanisms including secure model loading, runtime integrity verification, and protection against model extraction attacks. Should concrete standardization needs emerge from these efforts, the group may consider rechartering or contributing to relevant W3C Working Groups.

This group will publish Specifications.

Group's public email, repo and wiki activity over time

Note: Community Groups are proposed and run by the community. Although W3C hosts these conversations, the groups do not necessarily represent the views of the W3C Membership or staff.

Chairs, when logged in, may publish draft and final reports. Please see report requirements.

Call for Participation in Web AI for Time Series Community Group

The Web AI for Time Series Community Group has been launched:


The Web AI for Time Series (WAITS) Community Group advances real-time analysis of time-dependent data — including financial transactions, behavioral logs, and sensor streams — while ensuring the security and integrity of deployed AI models, the protection of incoming data streams, and the confidentiality of both usage and users.

By leveraging web-native technologies such as WebAssembly, WebGPU, WebNN, and WebRTC, the group promotes open standards for decentralized, browser-based inference on time series data, supporting both federated and edge AI scenarios. The group explores various time series AI architectures including LSTM networks, temporal transformers, and state-space models, focusing on their efficient implementation in web environments.

The group focuses on identifying real-world use cases, exploring architectural patterns, and drafting guidelines to support decentralized, privacy-preserving AI on time series data. As part of this effort, its initial objective is to map existing Web APIs that could serve as a foundation for time series AI workflows, while ensuring interoperability with related standards such as WebGPU, WebNN, ONNX Runtime Web, and the Generic Sensor API.

Special attention is given to model security mechanisms including secure model loading, runtime integrity verification, and protection against model extraction attacks. Should concrete standardization needs emerge from these efforts, the group may consider rechartering or contributing to relevant W3C Working Groups.

This group will publish Specifications.


In order to join the group, you will need a W3C account. Please note, however, that W3C Membership is not required to join a Community Group.

This is a community initiative. This group was originally proposed on 2025-05-14 by Jonathan Schneerson. The following people supported its creation: Adam Sobieski, Jonathan Schneerson, Georgia Schneerson, Lisa Loud and ali EL BROUDI. W3C’s hosting of this group does not imply endorsement of the activities.

The group must now choose a chair. Read more about how to get started in a new group and good practice for running a group.

We invite you to share news of this new group on social media and other channels.

If you believe that there is an issue with this group that requires the attention of the W3C staff, please email us at site-comments@w3.org

Thank you,
W3C Community Development Team