Overview
Orynq is Flux Point Studios' verifiable-AI stack. It produces cryptographic proof that AI systems did what they claimed — signed receipts for AI behavior, threshold-certified by the Materios blockchain and immutably anchored to Cardano L1.
Orynq supersedes Proof-of-Inference (PoI). The earlier $AGENT-denominated PoI protocol — job fees in $AGENT, staker fee-shares, inference-pool bonds, and PoI governance — is retired and will not ship. $AGENT itself is being consolidated into cMATRA under the cMATRA Token Merger. On Materios, Orynq services are paid as ordinary network fees (MATRA / MOTRA capacity), and network security is compensated with validator and attestor block rewards — see the PoI Litepaper (Legacy) page for the full mapping.
Overview
Orynq addresses the fundamental challenge of AI transparency: how do you prove what an AI did, with which inputs, producing which outputs? The stack combines:
Cryptographic Receipts: Every observation or process trace generates a signed receipt with deterministic, content-addressed hashes
Threshold Certification: A committee of independent attesters reaches quorum on Materios before a receipt batch is certified
On-Chain Anchoring: Compact fingerprints are immutably anchored to Cardano (metadata label 8746)
Independent Verification: Anyone can verify the full chain of custody from receipt fields back to a Cardano transaction, without trusting any single party
Components
Orynq SDK
Developer toolkit for anchoring AI process traces via Materios to Cardano
Orynq Observe
SDK for publishing cryptographically-attested AI model observation receipts to a public registry
Anchor-as-a-Service
Managed API for anchoring AI process traces without running infrastructure
Use Cases
Enterprise AI Compliance
Create auditable records of AI decision-making for regulatory compliance and internal governance.
AI Agent Verification
Prove that autonomous AI agents executed their tasks correctly and within defined parameters.
Model Inference Auditing
Track which models processed which data, enabling accountability in AI pipelines.
Research Reproducibility
Anchor experimental AI runs to enable independent verification of research results.
Quick Links
Orynq SDK - Developer documentation
Orynq Observe - Attested model observation receipts
Anchor-as-a-Service - Try the live demo
PoI Litepaper (Legacy) - The superseded PoI-era specification, kept for the record
GitHub - Source code
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