VerySafe.AI

Cut AI spend by 47%. Ship cryptographic receipts on every call. The Unified AI Command Center.

[Sarthak Pati, Ph.D. @SarthakPati]

Karp's two complaints are one problem: nothing is verifiable. You can't price outcomes you can't prove, and owning GPUs doesn't govern what runs on them. The gap is verifiable compute: policy-routed, cryptographically attested runs. Building it @VerySafeAI

[VerySafe.AI @VerySafeAI]

5/ Cheapest compliant backend, default-on. What's your current view into per-provider AI spend: a real dashboard, or guesswork? → @VerySafeAI

[VerySafe.AI @VerySafeAI]

1/ Your AI bill is bigger than it needs to be, and not by a little. Teams duplicate the same inference 3.4× across providers because no single layer routes for cost.

[VerySafe.AI @VerySafeAI]

4/ When cost is everything, route to Droplet: our distributed hardware tier at ~$0.04 / 1M tokens. That's 70 to 90% cheaper than frontier APIs, same audit chain.

[VerySafe.AI @VerySafeAI]

Less than 1% of enterprise AI calls land in a tamper-evident audit chain today.
We sign 100% of them. SHA-256 + Ed25519, chained so nothing can be altered after the fact.
When a regulator says "prove it," the receipt is already there.
https://t.co/nyjW6EZLnf