Transparent engineering outputs built for real decisions.
PQEA develops models, analytics workflows, and software prototypes with documented assumptions, limitations, and handover—so teams can review, reproduce, and extend the work.
What we build
Work begins with a focused decision or workflow problem and is expanded only when the model or prototype demonstrates value.
Carbon capture process modeling and feasibility tools
Transparent models and software prototypes for source characterization, capture-rate analysis, preliminary process sizing, utility and energy-demand assessment, facility-integration screening, and sensitivity analysis.
Industrial process modeling and decision support
Mass and energy balances, scenario modeling, simulation support, assumption tracking, and sensitivity studies that help teams compare options before major commitments.
AI-assisted regulated workflows
Lightweight automation and traceability logic that support GMP documentation, qualification workflows, evidence organization, and inspection readiness—without claiming “FDA approved” software.
Qualification data structure and reporting
Practical data models and reporting views that make it easier to see what is complete, what is missing, how evidence connects, and where action is required.
Carbon-capture deliverables
Early-stage outputs are clearly labeled and structured to support the next engineering decision.
Source and scenario model
Flue-gas characterization, annual emissions, capture-rate cases, operating profiles, input data quality, and model boundaries.
Process and utility assessment
Mass and energy balance, preliminary equipment-capacity calculations, and indicative steam, power, cooling, water, compression, and conditioning needs.
Integration and sensitivity package
Facility constraints, energy-penalty assessment, sensitivity analysis, uncertainty ranges, model limitations, and recommended next-stage data collection.
What you get
Tangible deliverables with documentation and handover—so the result is not a black box.
Prototype tool
A script, dashboard, calculation engine, workflow automation, or lightweight web prototype appropriate to the scope.
Model files and assumptions
Transparent inputs, equations, assumptions, sources, system boundaries, limitations, and a concise validation record.
Implementation handover
Clear guidance on how to run the tool, interpret the outputs, manage versions, and identify where further engineering is required.
Engagement types
Flexible structures for early research, focused development, and collaborative validation.
Discovery and model definition
Clarify the technical question, system boundary, data requirements, validation path, and smallest useful deliverable.
Prototype or pilot
Build and test a focused engineering model, workflow, dashboard, or software prototype with documentation and handover.
Research collaboration
Work with suitable operators, researchers, technology developers, or engineering teams on validation and sector-specific use cases.
FAQ
Clear boundaries around product stage, engineering scope, and regulatory responsibility.
Are the carbon-capture tools commercially complete?
No. The models and software prototypes are in staged R&D development. Each capability is labeled by maturity, validation status, and intended use.
Does PQEA cover the full CCUS value chain?
The current focus is capture feasibility and facility integration. Storage characterization, transport design, monitoring, permitting, and detailed engineering require appropriate specialist partners.
Do you claim “FDA approved” software?
No. PQEA supports GMP documentation and inspection-readiness workflows. Regulatory decisions and system validation remain with the facility owner.
Do you work under NDA?
Yes. Confidentiality agreements are normal for early project discussions, model validation, and pilot work.
Is this traditional consulting?
PQEA focuses on reusable models, software prototypes, and R&D-style deliverables. Advisory support may be included, but the principal output is a documented build.
What is the best first step?
A focused discussion to identify the decision, available data, appropriate project stage, and a small deliverable that can be tested.
Have a use case to evaluate?
Send a concise note with the facility or workflow context, the decision you need to support, available data, and any confidentiality requirements.