AIEF
AI Execution Framework
An open framework for verifiable AI execution evidence.
Version 0.2.5 · Public Comment
Implementations

Known implementations

The following implementations demonstrate different approaches to AIEF conformance in production or experimental systems.

Implementations of the framework include those listed below. Entries are factual and self-declared by the implementer; inclusion does not imply endorsement by AIEF or its editors. To list an implementation, open a pull request against the canonical repository.

  • NexArtArtnames Ltd
    Self-declared Level 3 (with Level 4 and AIEF-10 extensions)

    A production AI execution platform that issues tamper-evident execution artifacts (CERs) with deterministic verification, independent validation, and portable export. NexArt provides public and offline verification, supports execution context traceability for multi-step workflows, and includes independent attestation with signed records and trusted timestamping. Verification is performed without reliance on the originating system.

Submit an implementation

To list an implementation:

  • Open a pull request to the canonical repository
  • Provide a factual description of your system
  • Declare your AIEF conformance level
  • Include links to documentation or verification methods

For questions before submission, you can reach out via: