NobleMindEngineering Assurance
NobleMind Preflight · Telecom engineering assurance

Catch engineering inconsistencies before they become deployment problems.

Preflight checks 5G Core implementation data against defined engineering rules, surfaces what needs attention, and proposes only the corrections the data supports. Every decision stays with the engineer.

Request a demo See how Preflight works
Working MVP · currently in product validation with telecom engineering teams
Preflight · Dashboard
Preflight dashboard showing documents validated, checks executed, defect rate, first-pass rate, monthly defect trend and defects by check category, using synthetic demonstration data

Synthetic demonstration data. Dashboard figures are generated for demonstration and are not real operator or customer results.

The problem

Small data issues surface late.

Telecom deployments depend on implementation data being correct and consistent. Small issues in addressing, dependencies, naming, environments or protocols can survive manual review and only surface during integration.

Preflight adds a repeatable assurance step before deployment: the same defined checks, every time, on every document.

  • Duplicate addressmanagement_ip 10.10.20.15 on two NFsERROR
  • Environment mismatchPROD node → nssf.lab.localERROR
  • Missing dependencynrf_endpoint (blank)ERROR
  • Naming conventionLAB-NSSF-2 → ENV-NFTYPE-NNWARNING

Examples from the synthetic 5G Core demonstration dataset.

How Preflight works

One repeatable workflow, from data to evidence.

  1. 01

    Upload

    Implementation data, one record per network function.

  2. 02

    Validate

    Run a validation profile of deterministic engineering rules.

  3. 03

    Review

    Errors, warnings and items needing engineering input, by node and field.

  4. 04

    Correct

    Safe corrections proposed where the data supports them. The engineer approves.

  5. 05

    Revalidate

    The corrected working copy runs through the same rules.

  6. 06

    Evidence

    Engineering report, corrected file and validation history.

Validation result
Preflight validation result: 85 checks, 71 passed, 5 warnings, 9 errors, an engineering review required verdict and the exceptions table by node, field, rule and severity
Every finding, explained.Node, field, observed and expected value, rule and severity, with a deployment-readiness verdict.
Correction review
Preflight correction review: proposed corrections with current and proposed values, each awaiting engineer approval or rejection, and a count of findings that need manual engineering input
Nothing changes until an engineer approves it.Corrections are classified, justified by the rule, and applied to a separate working copy.

Synthetic demonstration data shown in all product images.

Principles

Built around engineering control.

Deterministic first

Defined engineering rules decide pass, warning or error. Same data in, same result out.

Engineer-controlled

No correction is applied without approval. If a value cannot be derived safely, Preflight asks for engineering input instead of guessing.

Auditable

Every result, exception and correction is recorded with its original value, rule and decision. The original data is never modified.

Deterministic validation. Engineer-controlled decisions. Preflight assists engineering judgement. It does not replace it.

Engineering quality

More than one document at a time.

Every validation leaves a structured record. Across repeated validations, Preflight shows design and assurance leads where engineering input quality stands and where it goes wrong.

  • Validation volumedocuments · checks executed
  • Defect ratenon-pass checks ÷ checks
  • First-pass qualityready with no errors first time
  • Recurring defect categoriesby check category
  • Quality trenddefect rate by month

Each metric has a published definition in the product. The dashboard shown on this page uses synthetic demonstration data.

Engineering quality
Preflight engineering quality metrics and charts: documents validated, checks executed, defect rate, first-pass rate, errors resolved by approved correction, defect rate by month and defects by check category, using synthetic demonstration data
Who it's for

For teams that turn engineering intent into deployment-ready data.

Network DesignDesign and HLD owners
Mobile / 5G Core EngineeringCore and packet core teams
Network AutomationTooling and pipelines
Engineering AssuranceQuality and sign-off
Integration & DeploymentDelivery teams and integrators
About

Built by a core network engineer.

Preflight is built by an experienced mobile core network engineer, with a background across 2G to 5G Standalone core design.

NobleMind is an independent UK business focused on telecom engineering automation and assurance. Preflight is developed independently, using synthetic data and general engineering principles.

Request a demo

Interested in Preflight?

Preflight is currently being demonstrated to telecom engineering teams. A 20-minute walkthrough on synthetic data is the easiest way to judge whether it fits your process.

Request a demo enquiries@noblemind.co.uk