DRIES VAN LOON

Where Reliability Engineering Meets Industrial AI.

STRATEGIC RELIABILITY LEADER · VP PRODUCT · AI-DRIVEN IIoT INNOVATOR

Dries Van Loon

01 // PROFILE.IMG

The Architect of Context

For over 15 years, I have navigated the complex intersection of machinery health and digital innovation. From leading Americas operations at PRUFTECHNIK to shaping AI product strategy as VP at Nanoprecise, my career is built on a singular foundation: a profound understanding of industrial assets.

As the youngest professional to achieve the ISO CAT IV Vibration Analyst certification, I bring rare practitioner depth to product leadership. I don't just understand the software; I understand the physics of the machines it monitors and the harsh realities of the maintenance floors it serves.

Now, in my independent consultancy, 3SE and future executive product leadership roles, my mission is clear: to evolve predictive maintenance beyond raw anomaly detection. I focus on giving AI the context it needs to deliver truly actionable, operational intelligence on the plant floor.

18+Years Exp
CAT IVVibration Analyst
4Continents Worked
100+Client Engagements

AI Isn't Bad, It's Blind.

Paper presented at Reliable Plant (Reno, NV) and Mobius Connect Live — 2026

The industry is flooded with algorithms that can detect an anomaly, but lack the awareness to explain it. A vibration spike means nothing in a vacuum. Was the load just increased? Was maintenance performed yesterday?

The next frontier isn't just better math; it's better context. AI must be integrated tightly with operating conditions, maintenance histories (CMMS), enterprise data (ERP), and the irreplaceable tribal knowledge of the workforce.

The Augury Alignment

Role-Specific Agents: AI that speaks the language of reliability engineers vs. plant managers.
Contextual Awareness: Integrating process data to prevent false positives and build trust.
Prescriptive Action: Moving beyond "something is wrong" to "here is exactly what to do."

Professional Trajectory

2021 – Current

Owner & Reliability Engineer

3SE

Independent consulting delivering fractional reliability engineering, advanced vibration analysis, and condition monitoring strategy. Certified Mobius Institute instructor.

2021 – 2025

VP CS & Product

Nanoprecise Sci Corp

Led global Customer Success operations and shaped the AI-driven predictive maintenance product roadmap, bridging the gap between advanced algorithms and practitioner reality.

2012 – 2021

Sales & Product Manager

PRUFTECHNIK

Managed online monitoring systems and consulting services portfolio. Directed operational strategy for the Americas, driving IIoT adoption across heavy industries.

2009 – 2011

Project Engineer

AVT

Executed complex industrial automation and plant revamp projects, establishing foundational engineering and operational expertise.

Engineered Capabilities

Education

Master's Degree (Engineering/Business)
Bachelor's Degree in Engineering

Credentials

CRL (Certified Reliability Leader)
ARP-E (Asset Reliability Practitioner)
VCAT IV (Vibration Analyst Cat IV)
UCAT I (Ultrasound Cat I)
ICAT I (Infrared Cat I)

Core Competencies

Project Management
Reliability Engineering
Product Strategy
IIoT Integration
Customer Success
Condition Monitoring
Cross-functional Leadership
Industrial AI Contextualization

Why Augury's AI Workforce?

Product Leadership

Proven track record scaling AI-driven IIoT solutions from concept to global deployment, ensuring product vision strictly aligns with operational realities.

Deep Domain Expertise

15+ years rooted in vibration analysis, condition monitoring, and reliability engineering. I naturally speak the language of the maintenance floor.

Practitioner Empathy

As a former end-user, consultant, and CS leader, I intimately understand the friction points in tech adoption and how to build intuitive, trusted tools.

Bridging the Context Gap

Deeply aligned with Augury's AI Workforce vision—passionate about equipping AI with CMMS/ERP context to move from raw anomaly detection to strategic intelligence.