Work package · Review05Technical due diligence & optimization

Technical due diligence that separates evidence from assumption.

Independent engineering review and optimization support for owners, investors, technology developers, manufacturers, and project teams facing complex technical decisions.

Defined inputs · review points · issued outputs
Typical stageReview · investment · optimization
Primary inputsData room · models · operating data
Primary outputsFindings · risks · priorities
Common interfacesOwner · investor · developer · plant
01 · Purpose

Test the technical case, expose the risks, and focus improvement where it matters.

Technical decisions are often made with uneven evidence: laboratory results, vendor claims, models, cost estimates, presentations, and operating data may not use the same assumptions or level of rigor.

ONB provides independent review and structured optimization support to evaluate credibility, scale-up readiness, manufacturing constraints, process bottlenecks, and the work needed before an investment, partnership, redesign, or next project phase.

02 · Decision questions

Are the technical claims credible?

Review whether performance claims are supported by data, models, balances, and scale-appropriate evidence.

Is the process ready to scale?

Identify hidden assumptions, scale-dependent risks, incomplete validation, and critical development gaps.

Where is value being lost?

Locate bottlenecks, yield loss, energy use, expensive materials, avoidable complexity, and manufacturing constraints.

What should happen next?

Prioritize tests, model updates, engineering work, vendor engagement, or process changes by decision value.

03 · Scope & capabilities

Independent technical review

Review data, models, balances, claims, engineering packages, cost assumptions, scale-up basis, and development plans.

Scale-up readiness and risk

Assess evidence maturity, critical phenomena, validation gaps, process-safety interfaces, operability, and next-scale assumptions.

Model and estimate audit

Test internal consistency, traceability, suitability, and sensitivity of process models and techno-economic analyses.

Process optimization and debottlenecking

Analyze throughput, conversion, yield, separation, heat integration, utilities, recycle, and equipment constraints.

Manufacturing and value analysis

Value walks, benchmarking, production redesign, manufacturing-process selection, and DFMA opportunities.

Scope and proposal support

Define technical scope, deliverables, work breakdown, schedule logic, assumptions, and a clear engineering narrative.

04 · Typical deliverables
Evidence and assumption register
Technical findings and risk matrix
Scale-up readiness assessment
Model or estimate audit
Process bottleneck and value analysis
Prioritized improvement opportunities
Recommended tests and engineering work
Decision memorandum and review briefing
05 · Engineering principle

Independent review should sharpen the decision—not merely add comments.

ONB separates verified facts, reasonable estimates, open assumptions, and material risks. Recommendations are prioritized by their effect on technical confidence, project economics, safety, schedule, and the next commitment.

06 · Representative applications
Investment diligenceOwner-side reviewTechnology licensingScale-up readinessVendor claim reviewModel auditPlant debottleneckingManufacturing redesignValue engineeringProposal and scope review
07 · Frequently asked questions
Can ONB review information under NDA?
Yes. Confidentiality requirements can be defined before technical materials are exchanged.
Does due diligence require rebuilding every model?
No. The work is scoped to the decision. ONB may reproduce critical calculations, audit selected assumptions, or develop independent bounds rather than duplicate all prior work.
Can ONB work alongside the technology developer?
Yes. Independent review can remain constructive and collaborative while preserving clear distinction between evidence, assumption, and recommendation.
Can optimization work continue after the review?
Yes. A review can lead into a defined modeling, testing, debottlenecking, process-design, or cost-reduction work package.
Start with the scope

What decision, drawing, model, or study does the project need next?