Nu-Logos
Contact

Trace every engineering decision. Engineering traceability for complex nuclear systems.

Nu-Logos connects requirements, engineering data, analysis models, and verification evidence into a traceable engineering information layer for nuclear systems. When a design changes, you can see which analyses and evidence are affected, and trace each decision back to its source.

Discuss a pilot project Explore the platform
A digital thread linking requirements, systems and components, design parameters, analysis models, analysis results, and verification evidence. When a design parameter changes, the links to the downstream models, results, and evidence light up in sequence.
Requirement
System
Parameter
Model
Result
Evidence

Engineering knowledge is connected by engineers, not by the tools they use.

From documents alone, it is often impossible to tell whether a design value was derived from first principles or carried over from an earlier design. When a generation of engineers moves on without that distinction, the values remain and the principles disappear.

Fragmented engineering data

Requirements, design parameters, analysis models and results, and verification evidence are spread across documents, tools, and organizations.

Manual change impact assessment

A single design change can affect multiple systems, analyses, assumptions, and verification activities. Engineers still trace those dependencies by hand.

Disconnected engineering evidence

The result may still exist, but the links between the requirement, inputs, model version, calculation, and decision are hard to reconstruct later.

Building the digital thread one engineering workflow at a time.

Nu-Logos is currently validating its traceability architecture on a limited-scope power conversion system workflow. A controlled design change is applied to a baseline case, the affected parameters and outputs are identified, and the analysis is re-run. If the requirements are met, the resulting evidence is linked to an updated baseline.

A flow from baseline B0 through design change, impact detection, and input update to analysis and result comparison. If the result meets the requirements, the evidence is linked to establish baseline B1; if not, the flow returns to the design change step.
Baseline B0
Reference case and evidence
Design Change
Controlled parameter change
Impact Detection
Trace affected parameters, outputs
Input Update
Generate inputs from new values
Analysis
Run existing analysis codes
Result Comparison
Check margins vs. requirements
Baseline B1
Link evidence, update baseline
Pass
Fail

What we are validating now

A limited-scope proof of concept (PoC). We are confirming that the traceability structure and change impact detection work on a single system workflow.

Where we are heading

A Nuclear Digital Thread that connects requirements, design, analysis, verification, licensing evidence, configuration history, and engineering decisions, and a Nuclear Digital Master built on top of it.

Nuclear engineering and digital engineering, together

Rooted in nuclear design

We started from research in nuclear system design and thermal-hydraulic analysis, and we build our information structures on hands-on experience with design documents and analysis codes.

Built on proven standards

We design our information model around MBSE (model-based systems engineering), SysML v2, requirements engineering standards, and data provenance models.

Built for the pace of advanced reactors

Developing SMRs (small modular reactors) and other advanced reactors involves frequent design iterations and many organizations working together. Being able to trace what changed and why directly affects schedules and licensing.

We are looking for engineering workflows to validate together.

We welcome inquiries about pilot projects, technology partnerships, and anything else by email.

Email us [email protected]