Provable execution
AI output is treated as a claim. A valid zero-knowledge proof is required before it can affect shared state.
Verifiable AI execution,
designed for Layer 1.
AIMB-X Labs is researching a ZK-first Layer-1 design in which AI output must be cryptographically verified before it can change shared state.
Public testnet update — January 2026Proof boundary
AI can propose. Proof decides.
AIMB-X separates probabilistic AI output from deterministic protocol authority.
AI-assisted coordination
Adaptive signals may inform validators, while explicit protocol rules retain final authority over consensus decisions.
Where trust becomes explicit.
The design connects AI claims, proof verification, deterministic execution, validator rules, and external messages.
Provable AI
Verify computational claims before they reach shared state.
.sync runtime
Research deterministic contract execution and failure behavior.
Consensus research
Evaluate AI-assisted signals within explicit validator constraints.
Cryptographic agility
Research upgrade paths for post-quantum cryptography.
Proof-based interoperability
Study proof-based validation of cross-chain messages.
Evidence before claims.
AIMB-X evaluates mechanisms through specifications, prototypes, reproducible tests, and documented limitations.
Status note: AIMB-X Labs reported a public testnet in January 2026. This page makes no independent benchmark, audit, mainnet, or production-readiness claim.Hypothesize
Define a falsifiable mechanism.
Model
Map actors, trust boundaries, and failure modes.
Prototype
Build the smallest testable implementation.
Validate
Publish tests, limitations, and open questions.
Ecosystem paths
Build on the verification layer.
Different disciplines, one shared goal: make decentralized AI execution verifiable.
Developers
Explore AI-native applications and the proposed .sync stack.
Researchers & validators
Test cryptographic, consensus, and network assumptions.
Enterprises & integrators
Study proof-backed integration with existing systems.
