OUR STORY

About VeriOps

Built from real engineering work. Governed by doctrine.

Our Origin

VeriOps was built from hands-on industrial risk analysis.

We started as SimGen — a research and consulting practice focused on physics-based analysis of rotating equipment. Through real engineering work across bearings, compressors, and oil wells, we discovered something important:

The industry doesn't need more monitoring. It needs decision authority.

VeriOps productizes those discoveries into a governed SaaS platform.

How VeriOps Is Built

VeriOps was not designed top-down. It emerged from field analysis and failed assumptions.

Each decision rule in VeriOps is:

  • Derived from real-world industrial datasets
  • Validated across multiple operating conditions
  • Promoted only after negative controls pass
  • Frozen into a versioned decision engine

When evidence is insufficient, VeriOps refuses to decide. This is not a limitation — it is how the system protects decision integrity.

The VeriOps Doctrine

VeriOps operates under non-negotiable rules:

  • Decisions must be explicit
  • Uncertainty must be visible
  • Evidence must be sufficient
  • Refusal is a valid outcome
  • Every decision must be defensible after the fact

These are not guidelines. They are enforced by the decision engine and cannot be overridden by users or models.

What VeriOps Will Not Do

Predict exact failure dates
Guarantee outcomes
Issue decisions without sufficient evidence
Hide uncertainty to appear confident

VeriOps is designed for reasonable action under uncertainty — not certainty theater.

Important Notice

VeriOps provides decision support based on physics-based analysis of provided data and predefined evidence rules.

It does not constitute:

  • Professional engineering certification
  • Regulatory approval
  • Safety guarantee
  • Warranty of performance

Final operational responsibility remains with qualified personnel.

Research Foundation

The methods behind VeriOps were developed through:

  • Case studies on independent industrial datasets
  • Real-world consulting on industrial equipment
  • Rigorous validation across conditions
Learn more about our research foundation

Get in Touch

Questions? Enterprise needs? Research collaboration?

kyle@simgen.dev

Clouthier Simulation Labs · Petawawa, Ontario, Canada