Saskatchewan-based • founder-led • carbon capture R&D

Engineering analytics, process models, and practical software for industrial decarbonization.

PQEA is developing transparent engineering models and scalable software prototypes for carbon-capture feasibility, process performance, and early-stage industrial emissions-reduction decisions.

Our tools are designed for screening, conceptual evaluation, and scenario analysis. They do not replace site-specific FEED, detailed design, permitting, technology-vendor guarantees, or regulatory approval.

Focus areas

Three connected capabilities: carbon capture as the principal R&D application, process systems as the engineering foundation, and practical software for repeatable delivery.

Carbon capture R&D and analytics

Process models and software prototypes for capture feasibility, performance evaluation, preliminary sizing, energy-penalty analysis, and scenario comparison.

Capture modeling Feasibility Energy integration

Industrial process modeling

Transparent mass and energy balances, scenario studies, sensitivity analysis, and decision-support models for complex industrial systems.

Process systems Simulation Optimization

Regulated workflow automation

AI-assisted workflows, traceability logic, data structures, and reporting tools for pharmaceutical C&Q and other controlled project environments.

GMP support Traceability Practical AI

Carbon capture product roadmap

The program is being developed in stages so assumptions, equations, validation evidence, and software behavior remain visible and testable.

Engineering calculation framework

Mass balance, capture-rate, utility-demand, energy-penalty, and preliminary sizing calculations with explicit boundaries and assumptions.

In development

Benchmarking and validation

Comparison against appropriate engineering references, published cases, available operating information, and suitable partner data.

Validation-led

Scalable software prototype

A structured interface for scenario management, sensitivity analysis, visualization, reporting, and reusable sector configurations.

Product roadmap

Built to support better early decisions

Transparent models can help teams identify data gaps, compare capture options, test sensitivities, and understand integration constraints before significant capital is committed.

Transparent assumptions Reproducible outputs Documented limitations
See the R&D program

How we work

A disciplined approach that keeps scope realistic and produces usable, reviewable outputs.

1) Define

Clarify the decision, system boundary, available data, constraints, and appropriate level of analysis.

2) Model

Build the smallest useful engineering model or workflow around the highest-value question.

3) Validate

Test equations, assumptions, and outputs against references, benchmarks, and real examples where available.

4) Productize

Document and structure the work so it can be repeated, reviewed, extended, or incorporated into software.

Saskatchewan is a natural proving ground

Saskatchewan combines industrial and energy emissions sources with operational carbon-capture infrastructure, commercial-setting capture test capability, geological storage research, and programs supporting industrial emissions-reduction technology. PQEA is building local engineering and software capability that can support the province while remaining applicable elsewhere.