NexArt - Make AI and software execution provable
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Most systems can’t prove what actually ran. Logs help debugging, but they don’t provide verifiable execution. NexArt turns every execution into a Certified Execution Record (CER), a tamper-evident artifact that captures inputs, context, and outputs, and can be independently verified. Stop reconstructing events from logs. Start with proof.
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Hi everyone, founder of NexArt here 👋
We built NexArt around a simple problem:
Most systems today cannot prove what actually ran.
When something goes wrong, teams reconstruct events from logs, which are often incomplete, mutable, or fragmented.
We wanted a different model.
NexArt turns execution into a Certified Execution Record (CER), a tamper-evident artifact that captures:
• inputs
• execution context
• outputs
• cryptographic proof
So instead of reconstructing events, you can verify them.
The current launch includes:
– a deterministic execution runtime (Code Mode SDK)
– verification tools (verify.nexart.io)
– documentation and protocol layer
We’re especially interested in teams working on:
• AI agents
• automated systems
• simulations
• financial / high-trust workflows
If you’re building in this space, I’d love to hear how you currently handle execution, auditability, or reproducibility.
Happy to answer any questions 🙌
@arrotu_ltd congrats on the launch.
Let me ask possibly a dumb question - doesn't every ai agent platform (I'm thinking Eliza, Virtuals) include some version of certified execution record?