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ORDINUM

About, section 05

Security fuzzing, multi-agent AI and production reliability.

Ordinum is built by an engineer who builds fuzzing agents professionally, applying that discipline to systems that act in the physical world.

01 /The team

THE TEAM, section 001

Built by an engineer who builds fuzzers.

Ordinum sits at the intersection of three disciplines: security fuzzing, multi-agent AI and production observability. The founder has worked in all three.

Security fuzzingMulti-agent AI systemsProduction observability

Armaan Singla

Co-founder

Education

Computer Engineering, Queen's University

Now

AMD Product Security Office

Software Engineer Intern

Building fuzzing agents that uncover security vulnerabilities.

Previously

  • Geotab

    Agent Center of Excellence

    Multi-agent systems and agent-to-agent orchestration

  • Scotiabank

    CID&A

    Data science

  • Home Trust

    Data & AI

    ML and data pipelines

  • GuestLogix

    Production Observability & Metrics

Why we can build this

Three disciplines / one problem

  • 01

    Security fuzzing

    Fuzzing is how the security world finds bugs no one thought to test for. Ordinum applies the same coverage-guided discipline to the behavior of autonomous systems.

    From AMD Product Security Office

  • 02

    Multi-agent AI systems

    Autonomous systems are many components acting on shared, imperfect state. Orchestrating agents makes it clear how often the failure is in the handoff, not the agent.

    From Geotab · Agent Center of Excellence

  • 03

    Production observability

    Observability work means meeting failures after they reach production. Ordinum moves that moment earlier, to before deployment.

    From GuestLogix · Observability

Building autonomous systems? Let's break them safely.