Agent World Operating System
Zenova is a real-time AI reasoning system for crypto security—where multiple agents analyze, debate, and expose risks before they become exploits.
[ our core values ]
Built for a New Standard of Crypto Security
Built for a New Standard of Crypto Security
Real-Time Intelligence
[ 01 ]
Zenova operates continuously, spinning up five AI agents the moment a contract address is submitted. No waiting, no delays. The analysis runs live and the findings surface as the agents work through the target in real time.
Real-Time Intelligence
[ 01 ]
Zenova operates continuously, spinning up five AI agents the moment a contract address is submitted. No waiting, no delays. The analysis runs live and the findings surface as the agents work through the target in real time.
Real-Time Intelligence
[ 01 ]
Zenova operates continuously, spinning up five AI agents the moment a contract address is submitted. No waiting, no delays. The analysis runs live and the findings surface as the agents work through the target in real time.
Precision
{ 02 }
Every session runs through five specialized agents, each owning a distinct layer of analysis. Surface mapping, logic auditing, threat modelling, pattern matching, final verdict. Nothing is skipped and nothing is guessed.
Precision
{ 02 }
Every session runs through five specialized agents, each owning a distinct layer of analysis. Surface mapping, logic auditing, threat modelling, pattern matching, final verdict. Nothing is skipped and nothing is guessed.
Precision
{ 02 }
Every session runs through five specialized agents, each owning a distinct layer of analysis. Surface mapping, logic auditing, threat modelling, pattern matching, final verdict. Nothing is skipped and nothing is guessed.
Depth
{ 03 }
Zenova does not return a list of flags. It reasons through the target the way a security team would, out loud, in sequence, each agent building on the last until the full picture is clear. The findings mean something because you see exactly how they were reached.
Depth
{ 03 }
Zenova does not return a list of flags. It reasons through the target the way a security team would, out loud, in sequence, each agent building on the last until the full picture is clear. The findings mean something because you see exactly how they were reached.
Depth
{ 03 }
Zenova does not return a list of flags. It reasons through the target the way a security team would, out loud, in sequence, each agent building on the last until the full picture is clear. The findings mean something because you see exactly how they were reached.
Always On
{ 04 }
Submit any contract, any protocol, any project at any time and the agents wake up. No waitlists, no firms, no delays. The security layer runs whenever you need it.
Always On
{ 04 }
Submit any contract, any protocol, any project at any time and the agents wake up. No waitlists, no firms, no delays. The security layer runs whenever you need it.
Always On
{ 04 }
Submit any contract, any protocol, any project at any time and the agents wake up. No waitlists, no firms, no delays. The security layer runs whenever you need it.
[ the agents ]
Five Agents.
One Intelligence.
Vera
Finds flaws in design, assumptions, and execution.
Ada
Validates risks against known exploits and research.
Nox
Turns weaknesses into real attack scenarios.
rex
Identifies components, context, and attack vectors.
Cole
Summarizes insights into clear, actionable outcomes.
[ roadmap ]
From Foundation
to Intelligence
Phase 1 — Foundation
Build the core multi-agent system, virtual interface, and EVM smart contract analysis. Focus on accuracy, stability, and a strong knowledge base.
Phase 2 — Expansion
Extend beyond EVM, introduce token and credit systems, launch staking and governance, and enable continuous monitoring.
Phase 3 — Scale
Open community-driven knowledge, support all major chains, add real-time alerts, and integrate with developer and audit tools.
Phase 1 — Foundation
Build the core multi-agent system, virtual interface, and EVM smart contract analysis. Focus on accuracy, stability, and a strong knowledge base.
Phase 2 — Expansion
Extend beyond EVM, introduce token and credit systems, launch staking and governance, and enable continuous monitoring.
Phase 3 — Scale
Open community-driven knowledge, support all major chains, add real-time alerts, and integrate with developer and audit tools.
Start analyzing targets in real time and understand exactly how and why things could break—before anyone else does.
Start analyzing targets in real time and understand exactly how and why things could break—before anyone else does.
Start analyzing targets in real time and understand exactly how and why things could break—before anyone else does.
Zenova