MNC AnalyticsMove the pointer over the traceMadrid · 40.4168 N · 3.7038 W

We engineerdecisions.

Advanced analytics and engineering for complex decisions.

MNC Analytics

MNC Analytics brings together data science, advanced applied mathematics, electronics and machine sensing to solve business and engineering problems. We help organisations understand how their systems behave, anticipate what may happen next and determine the most effective course of action.

Our work connects the physical and digital worlds. From sensors that capture real operating conditions to mathematical models that explain them, we design solutions that turn observations into useful intelligence. Whether the challenge is predicting equipment failure, improving production performance, developing intelligent instrumentation or optimising a complex operation, we begin with the decision that needs to be made and build the technical solution around it.

Expertise across the complete solution

From measurement to decision

Eleven services, one chain. Each stage depends on the one before it, and we work across all of them or on the single link that is missing.

  1. 01

    Measure

    Hardware and instrumentation that capture real operating conditions with known accuracy.

  2. 02

    Interpret

    Signal processing and data engineering that turn raw records into trustworthy, traceable information.

  3. 03

    Model

    Data science, applied mathematics and simulation that explain behaviour and anticipate what comes next.

  4. 04

    Operate

    Control, applications, advisory and support that put results into everyday decisions and keep them useful.

From a technical question to an operational solution

  1. 01A useful model depends on trustworthy data.
  2. 02Trustworthy data depends on sound measurement.
  3. 03An effective solution depends on how both are integrated into everyday decisions.

MNC Analytics works across these connections. We can investigate a specific technical problem, develop a specialised component or bring multiple disciplines together within a complete system.

Our focus is on solutions whose performance can be tested, whose limitations are understood and whose outputs have a clear operational purpose.

Selected work

Problems we have solved

All work
01Manufacturing and industrial operationsSpain

Predicting drive failures on a cement plant’s mills and kiln

Vibration and motor-current sensing on gearboxes and main drives, fused with process data, gave maintenance teams three to six weeks of warning before bearing and gear faults.

  • 3–6 wkwarning before confirmed faults
  • -71%unplanned drive stoppages, year on year
  • 0missed faults in the pilot year
Read more
Unplanned drive stoppage hours per quarterBeforeAfter
-50050100150200Q1Q2Q3Q4Q1 Before: 62 hoursQ2 Before: 0 hoursQ3 Before: 118 hoursQ4 Before: 41 hoursQ1 After: 18 hoursQ2 After: 0 hoursQ3 After: 0 hoursQ4 After: 46 hours
hoursQ4 · 46 hours
02Agriculture, water and environmental systemsSaudi Arabia

Optimising pump scheduling across a water transmission network

A hydraulic model and a mixed-integer optimiser schedule pumps against tariff periods and reservoir constraints, cutting energy cost while keeping storage within agreed limits.

  • -16%pumping energy cost
  • -38%pump starts per day
  • 0reservoir limit breaches in 9 months
Read more
Monthly pumping energy cost, indexed to baselineBaselineOptimised
020406080100M1M2M3M4M5M6M1 Baseline: 100 indexM1 Optimised: 96 indexM2 Baseline: 100 indexM2 Optimised: 90 indexM3 Baseline: 100 indexM3 Optimised: 86 indexM4 Baseline: 100 indexM4 Optimised: 84 indexM5 Baseline: 100 indexM5 Optimised: 83 indexM6 Baseline: 100 indexM6 Optimised: 84 index
indexM6 · 84 index
03Buildings and infrastructureFrance

Continuous structural monitoring of a motorway viaduct

Strain, acceleration, displacement and temperature sensing with custom acquisition nodes gives the structural engineer a modal and strain history that separates traffic and thermal effects from real change.

  • 48synchronised channels on 6 nodes
  • < 0.2%data loss over 12 months
  • 1bearing fault confirmed and scheduled
Read more
First vertical mode frequency, temperature-correctedCorrected
2.382.392.402.412.42JanFebMarAprMayJunJulAugSepOctNovDecJan Corrected: 2.41 HzFeb Corrected: 2.41 HzMar Corrected: 2.40 HzApr Corrected: 2.41 HzMay Corrected: 2.40 HzJun Corrected: 2.40 HzJul Corrected: 2.39 HzAug Corrected: 2.39 HzSep Corrected: 2.40 HzOct Corrected: 2.40 HzNov Corrected: 2.41 HzDec Corrected: 2.40 Hz
HzDec · 2.40 Hz

How we work

Four commitments on every engagement

  1. 01

    Start with the problem.

    We define the operational question, decision requirements and measures of success before selecting a technology or method.

  2. 02

    Make assumptions visible.

    We document what a solution depends on, where uncertainty remains and the conditions under which its outputs can be relied upon.

  3. 03

    Test against reality.

    We compare models and engineered systems with appropriate reference data, physical measurements and representative operating conditions.

  4. 04

    Design for continued use.

    We consider integration, maintainability, user workflows and internal ownership throughout development.

Who you work with

Led by an engineer, not an account manager

MNC Analytics is led by its founder, Noel Cherfan, who has spent 23 years at the junction of measurement, mathematics and software. Based in Madrid, the practice works across Spain, France and Germany and in Saudi Arabia, the United Arab Emirates, Bahrain, Qatar and Lebanon.

About
Founder
Noel Cherfan
years of practice
23
Based in
Madrid
Operating in
ES · FR · DE · SA · AE · BH · QA · LB

Contact

Tell us about the problem you need to solve

You may have a defined project, an underperforming process or a technical question that needs investigation. We can help assess the challenge, identify the information required and define an appropriate next step.