Verifiable AI
infrastructure for
the provenance era.
aiBIGchain is a permissioned blockchain and decentralised storage platform that anchors verified AI inference events to cryptographic proof on-chain — so humans, agents, and downstream systems can audit what an AI produced, by which model, with which inputs, and when.
AI content has
no provable
provenance.
Generative models produce outputs at scale, but no widely-deployed infrastructure exists to prove which model produced a given output, on which inputs, with which parameters, at which moment in time.
This gap matters — for legal evidence, for content authentication, for AI agent decision-making, for regulatory compliance, for creative attribution. A picture without provenance is increasingly hard to trust. A receipt without durable verification is easy to dispute.
aiBIGchain is designed to fix this layer. When an inference is verified and committed, the platform produces a signed receipt anchored on a permissioned chain. Output, model, input commitment, timestamp, and verifying nodes are bound into a proof artifact designed for audit and downstream trust.
Two modes.
One platform.
aiBIGchain products can support two proof modes. aEYEnft demonstrates both today.
Save to ABC
A storage proof. The generated artifact is recorded with a database-bound receipt and preserved for future reference. Lightweight, fast, low-cost.
Verify & Commit
A verified inference receipt. Multi-peer agreement is required before the inference is anchored on chain. Returns a signed receipt designed to remain auditable using the recorded chain proof.
Operational beta.
Not vapourware.
A real multi-node verification cluster is currently running, with the decentralised storage layer holding the production model fullstore. Receipts shown above were generated by this system.
Built for
AI-scale
infrastructure.
aiBIGchain consumes the full stack of cloud infrastructure expected for a verifiable AI platform. Each capability scales with adoption.
GPU inference workloads
Image generation today; broader generative model classes (text, audio, video) and agentic workloads on the platform roadmap.
Persistent verification artifacts
Every saved or verified output produces durable artifacts, receipts, and chain records. Storage scales linearly with adoption.
Managed authentication
Closed beta access today. Public launch will integrate managed sign-in providers and wallet-based identity for Web3 users.
Modern payment rails
Prepaid credits today. Card, wallet, and platform-native payment integrations planned as the beta matures into public launch.
Multi-node verification
Permissioned verification cluster today, with regional and external verifier participation planned as adoption grows.
Production hardening
Monitoring, secret management, backups, and deployment hardening become core needs as the product moves from beta to public launch.
Active product line.
More to follow.
aEYEnft
AI image generation with Save and Verify & Commit proof modes. Users generate images with SDXL Turbo and Z-Image inference engines, Save artifacts to ABC, and Verify & Commit selected outputs into signed receipts. Printable Snapshot certificates planned at full release.
Visit aeyenft.comWhere we are.
Closed beta
Working multi-node cluster, model selector, Save and Verify & Commit, signed receipts, evaluation access by request.
Public launch readiness
UX polish, payment rails, identity provider integrations, Snapshot PDF certificates, expanded model selection.
Platform expansion
Reconstruction tier, sealed prompts, public verification tools, broader generative model classes, agent-facing APIs.
Get in touch.
For evaluation access, technical questions, partnership enquiries, or media — write to one of the addresses below. Evaluation enquiries are reviewed during the closed beta period.