Most people focus on AI models.

This view misses the deeper stack behind AI systems.
@inference_labs builds its architecture on three core technologies:
→ zkML
→ Proof of Inference
→ Distributed + Reputation System
zkML forms the foundation of the system.
This layer ensures that AI computation can be proven with cryptography.
Proof of Inference transforms every AI output into a verifiable result.
This mechanism allows anyone to check the correctness of inference.
Distributed systems run inference across multiple nodes.
Reputation systems assign trust and quality to each output.
These layers create a clear progression:
compute → proof → trust
AI systems start with computation.
AI systems evolve through verification.
AI systems become reliable infrastructure through trust.
This architecture brings AI closer to crypto systems.
Each output carries proof, and each system builds trust through verification.