verifiable ai on cysic
ai outputs shouldn’t be a black box. if a model makes a call, rank a transaction, score risk, summarize data, apps should be able to check how it was produced, without leaking inputs or slowing down the UX.
cysic gives a clean path to that. inference runs on zk ready hardware (custom chips + tuned gpu clusters), and every result ships with a proof or attestation you can verify on chain. you keep speed, you keep privacy, and you get auditability by default.
how it works
— send prompts or batches through simple apis
— scheduler routes to the best hardware for your model
— outputs include proofs/attests and log artifacts
— contracts or services verify results on-chain
— everything is recorded for audits and compliance
what you get
— predictable latency under real traffic
— private inputs, verifiable outputs
— cost visibility as you scale from test to prod
— a path from trust me to prove it for every decision
for wallets, agents, and data heavy apps, this makes ai usable in production: faster answers, fewer blind spots, and a verifiable trail you can show to users, partners, or regulators.
Gm
verifiable ai on cysic
ai outputs shouldn’t be a black box. if a model makes a call, rank a transaction, score risk, summarize data, apps should be able to check how it was produced, without leaking inputs or slowing down the UX.
cysic gives a clean path to that. inference runs on zk ready hardware (custom chips + tuned gpu clusters), and every result ships with a proof or attestation you can verify on chain. you keep speed, you keep privacy, and you get auditability by default.
how it works
— send prompts or batches through simple apis
— scheduler routes to the best hardware for your model
— outputs include proofs/attests and log artifacts
— contracts or services verify results on-chain
— everything is recorded for audits and compliance
what you get
— predictable latency under real traffic
— private inputs, verifiable outputs
— cost visibility as you scale from test to prod
— a path from trust me to prove it for every decision
for wallets, agents, and data heavy apps, this makes ai usable in production: faster answers, fewer blind spots, and a verifiable trail you can show to users, partners, or regulators.
website:
cysic.xyz
x:
@cysic_xyz