Academic Rigor.

Operational Reality.

We combine patented technology and decades of real-world experience to bridge the gap between research, policy, and day-to-day operations.

Patented Technology

Our machine learning algorithms were developed from analyzing decades of real incident and operational data across high-hazard industries. Our work has been published in more than 200 peer-reviewed journals and has been field-tested with industry leaders in energy, infrastructure, and government.

We use advanced data fusion, AI, and multi-factor analysis techniques, but always in a way that is transparent, explainable, and aligned with regulatory expectations.

Implementation Focus

We don’t just deliver reports. We help you close gaps between policy and practice. Our bespoke research and advisory work is tailored to your specific operational context, workforce, and regulatory environment

We stay involved through deployment and organizational change, supporting leaders and front-line teams as they adopt new indicators, controls, and tools. The result is real implementation, not shelfware.

Data Security

We know your operational data is sensitive. That’s why our analysis is performed on-site or within your secure environment. Your data stays with you. No cloud uploads, no third-party access.

Our methods are fully documented and transparent, giving regulators, auditors, and internal risk committees confidence in how risk-based prioritization decisions are made.

Learn How Our Approach Fits Your Environment.

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Leadership Rooted in Expertise & Innovation.

Dr. Lianne Lefsrud, P.Eng,
CEO

Dr. Lianne Lefsrud, PEng, (CEO) is the Risk, Innovation & Sustainability Chair (RISC) at the Faculty of Engineering, University of Alberta, where she leads interdisciplinary research and teaching in risk management. She has analyzed decades of incident data in diverse, high-hazard industries like hydrogen, mining, construction, railroading, and bio engineering.

With a PhD in Strategic Management and Organization, and over 25 years of experience in operations, regulatory affairs, and strategy advising to governments and senior leaders, she brings a unique systems-level approach to risk management.

Her work is published in 200+peer reviewed journals and proceedings, forthcoming book with Oxford, reflected in 100 graduate students supervised, featured in Forbes articles and TEDx, and recognized with 30+ awards.

Dr. Fereshteh Sattari
COO

Dr. Fereshteh Sattari (COO) is the Research Director, David and Joan Lynch School of Engineering Safety and Risk Management, University of Alberta.

With a PhD in computer process control, her research is on optimizing and simulating processes by applying artificial intelligence (Al) and machine learning (ML) for energy, construction, and transportation companies. She teaches undergraduate and graduate courses such as Quantitative Risk Analysis and supervises various research projects.