Overview
Find
AI-assisted analysis across your operational data.
See what your operation is really costing you.
Industrial intelligence operational value
See what your operation is really costing you.
WEYSENS finds hidden losses, proves the impact and helps you recover measurable value.
Prove
Evidence you can trust. Impact you can quantify.
Act
Decisions that drive real, measurable results.
Security by design•ISO 9001 roadmap•ISO 14001 roadmap•ISO 45001 roadmap
ISO 9001Quality readinessROADMAP
ISO 14001Environmental readinessROADMAP
ISO 45001OH&S readinessROADMAP
Cyber EssentialsSecurity control targetTARGET
Procurement readyEvidence pack structurePRE-LAUNCH
Human reviewEvidence-led decisionsDESIGN
Industrial intelligence · operational value
See what your operation is really costing you.
WEYSENS finds hidden losses, proves the impact and helps you recover measurable value.
Overview
Find
AI-assisted analysis across your operational data.
Prove
Evidence you can trust. Impact you can quantify.
Act
Decisions that drive real, measurable results.
Security by design•Evidence traceability•Human review•Certification roadmap
ISO 9001Quality readiness roadmap
ROADMAPISO 14001Environmental readiness roadmap
ROADMAPISO 45001OH&S readiness roadmap
ROADMAPCyber EssentialsSecurity control target
TARGETProcurement readyEvidence pack structure
PRE-LAUNCHThe WEYSENS modelEngineering truth.
Engineering truth.
Financial consequence.
Most systems tell you what happened. WEYSENS is designed to show which recurring losses deserve attention first — and why.
Observe
Production signals, events, context and operating conditions.
Explain
Patterns, recurrence, contributing factors and plausible causes.
Quantify
Translate operational loss into cost, risk and recoverable value.
Recover
Prioritise intervention and verify whether value was actually recovered.
Evidence before opinion
Every priority needs evidence.
Source signals, assumptions, confidence and financial logic stay inspectable, so engineering and commercial teams can challenge the same value case.
TraceableFollow the finding back to its source.
QuantifiedSee the operational and financial consequence.
PrioritisedFocus effort where expected value is highest.
VerifiableCheck whether action produced the expected result.
Evidence chain / Opportunity 07HIGH CONFIDENCE
01
Observed pattern
Cycle time variance +18.4% across repeated production runs.
02
Correlated impact
Micro-stoppage frequency rises as cycle instability increases.
03
Value model
Estimated recoverable value £724/hour at current production mix.
04
Recommended action
Inspect spindle control and upstream feed stability before capacity investment.
Illustrative example — not a claim about a live customer site.
Built for high-cost operations
Where “small” losses become expensive.
Manufacturing
Downtime, OEE loss, cycle variation, scrap and bottlenecks.
Explore manufacturing →Process Industries
Throughput, yield, energy intensity, stability and chronic deviation.
Explore process operations →Maintenance
Recurring failures, intervention value and reliability priorities.
Explore maintenance →Quality
Defects, rework, process drift and evidence of the cost of poor quality.
Explore quality →Interactive product walkthrough
Follow one loss from signal to a value case.
Walk through an illustrative investigation: detect a recurring loss, inspect the evidence, challenge the value assumptions and move towards an engineering action.
01SignalCycle instability
→02EvidenceRepeated pattern
→03Value£724/hr at risk
→04ActionInspect feed control
Value opportunity estimator
Frame the scale before you investigate.
Use a few operating assumptions to estimate the possible commercial scale of a recurring loss before deeper analysis.
Illustrative only. A WEYSENS assessment would validate assumptions against operational evidence.
Indicative recoverable value£1,680/week≈ £87,360/year
Pilot-ready proof loopSee the pilot structure →
Don’t buy a dashboard. Prove a value case.
A WEYSENS pilot starts with one bounded operational problem, an agreed value model and a before/after evidence trail. Scale only when the evidence supports it.
01Bound the problemOne line, cell, asset or recurring loss mechanism.
02Agree the value modelMake assumptions visible before analysis begins.
03Build the evidence chainConnect signals, context, recurrence and consequence.
04Verify the outcomeCompare expected and observed value after action.
PILOT VALUE CASE / 01ILLUSTRATIVE
ProblemRecurring cycle instabilityCell 04 · Production family B
Baseline loss£724/hr
ConfidenceHigh
PriorityP1
Observed
Quantified
Action agreed
Recovery verified
Decision gateProceed when verified evidence supports the value case.
Trust architecture
Trust is earned by evidence, not badges.
Traceability, controlled assumptions, least privilege, auditability and human review are design requirements. Formal certifications appear only when genuinely held.
Read our security & trust approach →Evidence traceability
Findings remain linked to source evidence and assumptions.
Human decision control
The system supports expert judgement rather than hiding it.
Transparent value logic
Financial impact is explainable and challengeable.
Security-first roadmap
Security controls are treated as product requirements, not decoration.
One bounded problem · visible assumptions · inspectable evidence · no scale decision without proof
A practical first step
Start with one recurring loss worth understanding.
We begin with one bounded operational problem, the evidence already available and the assumptions needed to test whether a pilot is justified.