Global enterprise AI spending is projected to exceed hundreds of billions annually, with verification and compliance as the fastest-growing requirement.
Bring verifiable intelligence into production.
For enterprise partners, infrastructure builders, and strategic collaborators. Verifiable AI for environments where trust and compliance matter from day one.
The trust layer for AI-native economies.
As AI systems move from experimental to production-critical, enterprises need infrastructure that makes machine-generated outputs provable, auditable, and compliant. Aethelred is the protocol layer designed to close that gap.
Why now.
EU AI Act, NIST AI RMF, and sector-specific mandates are driving demand for auditable, evidence-backed AI systems.
Most production AI systems lack cryptographic proof of what model ran, how data was handled, or whether outputs were altered.
What sets Aethelred apart.
Unlike general-purpose Layer 1s, Aethelred is purpose-built for verifiable AI. Hybrid TEE plus zkML verification, post-quantum cryptography from genesis, and Proof-of-Useful-Work consensus create a defensible moat around enterprise-grade AI verification.
Key protocol parameters.
Fixed at genesis. No minting capability exists post-launch.
Deflationary by design. Quadratic fee burn during congestion.
Validators earn rewards from real AI inference.
Dual evidence required per inference job.
ML-DSA-65 and ML-KEM-768 from genesis.
House of Tokens and House of Validators. 67% supermajority.
What is available.
Comprehensive materials for institutional evaluation. All documents verified and governance-gated.
Whitepaper
Protocol specification: consensus, verification, governance, and token economics.
Tokenomics Paper
10B fixed supply. Zero inflation. Staking mechanics and governance-controlled release.
Technical Architecture
Four-layer verifiable stack: consensus, execution, verification, and settlement.
Designed for institutional-grade security.
Post-quantum cryptography, hardware-attested execution, and five proof systems. Security audits, bug bounty program, and dedicated incident response.
Current stage and near-term milestones.
Connect with the team.
Submit a request for due diligence materials, partnership discussions, or technical evaluation.
Ready to evaluate verifiable compute infrastructure.
Review the architecture, explore security practices, or connect directly with the institutional team.