There is a question nobody asks when they
integrate an AI API and it is the most
important question.
@OpenGradient is building the infrastructure that makes that question answerable with proof instead of promises.
The question is simple. How do you know the model that ran is actually the model you think you called?
On Open Gradient every inference is cryptographically signed with the exact model version and prompt that was used.
Over 4500 models hosted on decentralized storage with blob IDs recorded permanently on the ledger for verification.
Full nodes validate proofs during consensus while inference nodes execute with GPU level speed and efficiency.
TEE attestations prove the enclave ran approved code without tampering before the response ever reached you.
Silent model swapping is one of the most underappreciated risks in production AI and Open Gradient eliminates it completely.
Backed by a16z, Coinbase, NVIDIA, and some of the most respected builders in the entire industry.
Model integrity should be provable not assumed and Opg is the token making that provability economically sustainable.#opg $OPG
