NexArt produces Certified Execution Records: tamper-evident, cryptographically signed records of what an AI system actually executed, including inputs, outputs, parameters, model identifiers, and timestamps. It addresses a fundamental problem with conventional AI logs: they are typically produced and controlled by the same system whose behaviour is being questioned and can potentially be edited. When a regulator, auditor, or counterparty challenges an AI decision, simply asking them to trust internal logs provides weak evidence. NexArt creates an independent evidence layer that makes AI execution verifiable after the fact. Records are signed by an independent attestation node rather than the system being recorded and timestamped by DigiCert's public timestamp authority under RFC 3161. This allows third parties to verify the signature and time assertion independently using standard cryptographic tools, without a NexArt account or access to the platform. Confidential mode is the default: inputs and outputs are replaced with hash-bound commitments before leaving the user's environment, allowing the node to sign evidence without being able to read the underlying data. NexArt is built on open standards including SHA-256, Ed25519, and RFC 8785 JCS canonicalisation, with records conforming to AIEF, an open vendor-neutral framework for verifiable AI execution evidence. NexArt does not determine whether an AI output was correct, fair, or appropriate, nor does it govern or gate execution. Instead, it provides independently verifiable evidence of what happened. The platform is designed for organizations in financial services, insurance, healthcare, recruitment, and other environments where AI decisions may need to be explained or challenged later.
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