Verification model
Understand whether outputs are proven with ZK, TEEs, attestations, consensus or a hybrid approach.
Trust layer
Compare verifiable inference, zero-knowledge machine learning, oracle-style AI execution and proof infrastructure for smart contracts using AI outputs.
Buyer checklist
Use this page as a category shortlist. Vendor fit is based on public product positioning and buyer relevance, not a FluidRWA endorsement.
Understand whether outputs are proven with ZK, TEEs, attestations, consensus or a hybrid approach.
AI proofs can be expensive or slow; test performance before putting them into user-facing workflows.
Check supported chains, developer tooling, callbacks and failure handling.
Directory
Shortlist AI infrastructure by workflow, governance requirements, data sensitivity and integration complexity.
01 / Verifiable ML
Best forProtocols using AI predictions or risk scores inside smart contract workflows.
Giza is relevant for verifiable machine learning, AI agents and trust-minimized inference.
02 / AI execution
Best forTeams bringing AI model inference into blockchain applications.
Ritual fits AI execution, model hosting and smart contract integration.
03 / ZKML
Best forBuilders needing proofs for AI model execution and machine learning outputs.
Modulus Labs is relevant for zero-knowledge machine learning and verifiable AI outputs.
04 / TEE compute
Best forApplications needing confidential compute, agents and verifiable offchain execution.
Phala fits TEE-based compute, AI agent hosting and privacy-aware execution.
05 / General proofs
Best forTeams proving offchain computation and integrating verified results into blockchain systems.
RISC Zero is useful for verifiable computation pipelines that may include AI or data processing.
06 / Proof infrastructure
Best forDevelopers building applications that need scalable validity proofs and verified computation.
Succinct fits teams looking for developer-friendly proof infrastructure and verification systems.
07 / TEE and compute
Best forTeams running verifiable offchain compute, relays and secure computation services.
Marlin is relevant for TEE-based compute, gateway infrastructure and offchain execution.
08 / Verifiable data
Best forTeams needing cryptographic proofs for database queries and AI/data workflows.
Space and Time fits verifiable data pipelines, analytics and smart contract data access.