Strategic consulting in data, AI and technology · Seville, Spain

Industrial big data as a service

Shed light on your business and engineering decisions.

We combine the IT paradigm of big data with the OT world of industrial control systems and with artificial intelligence. We know both worlds inside out and bring them together as a service.

  • Any machinenew or old, analogue or digital
  • No rewiringand no voided manufacturer warranties
  • 200,000 signals/swritten to the Datalice historian
  • Air gapcomputer vision never touches the control system

01How we do it

We are different: non-invasive, end to end.

Integrations, cameras and sensors

We integrate with any system and install cameras and accelerometers to capture data safely and non-invasively, without rewiring machinery or voiding manufacturers’ warranties.

Vision and artificial intelligence

We use machine vision and neural networks that learn from scratch, the way a person learns, to read gauges, control quality and measure tasks.

Data for everyone

Dashboards, email and mobile alerts and automatic reports to present your data, optimise the business and provide clear forecasts.

Our business objectives

  • Reveal the depth of your data to make you more productive.
  • Optimise your industrial and business processes to the highest level.
  • Give operators, engineers and directors the visibility to make the right decisions.

How we achieve them

  • Storing data from any industrial system with machine vision and non-invasive methods.
  • Giving access to that data from any device.
  • Modelling optimisations with collaborative human intelligence and artificial intelligence.

02Plant use cases

From the field instrument to the director’s phone.

Sensors, cameras and control systems feed the historian; AI detects, forecasts and alerts whoever has to decide. All without opening doors into the control system.

How a data point travels: from machine to decision

Live · simulation
Animated plant communications A wind turbine, a motor and a camera-read pressure gauge send data to the PLC over the OT network; the data crosses the DMZ to the Datalice historian, AI models analyse it and alerts reach the phone and the management dashboard. OT NETWORK · PLANT IT NETWORK · YOUR PRIVATE CLOUD Wind turbine 1.9 MW Motor 12B 4.2 mm/s Gauge + camera 6.3 bar PLC · SCADA Control DMZ Datalice Historian 12,481,920 samples stored AI models AI Forecasts · Anomalies Phone Instant alerts Dashboard Management Motor 12B: failure expected in 14 days Month-end forecast: +7.4% pH out of range within 3 h 1 · FIELD 2 · CONTROL 3 · SECURITY 4 · DATA 5 · AI 6 · DECISION

Swipe to see the whole journey.

QR codes on machinery

  • Real-time metrics, on the move.
  • Values right on the field instruments.
  • Independence from SCADAs and walkie-talkies.
  • Fewer accidents during interventions.

Machine vision and vibration

  • Cameras and sensors in front of the gauges.
  • Any instrument: new or old, analogue or digital.
  • Quality control with machine vision.
  • No rewiring, no voided warranties.

Remote O&M with augmented reality

  • Your values on augmented reality glasses.
  • Data, operations and maintenance of all your plants, centralised.
  • Efficiency with “remote hands” on your assets.

Predictive maintenance

  • Machinery failure prediction.
  • Optimally planned maintenance.
  • Fewer stoppages and production losses.
  • Spare parts negotiated in good time.

Human task metrics

  • Machine vision applied to human tasks.
  • Real time spent per zone, task or machine.
  • Real KPIs that complement work reports.

Mobile alerts

  • Warnings on complex conditions.
  • The cause of the stoppage, in the alert itself.
  • The right people, involved instantly.
  • Notice when production is back to normal.

03Predictive maintenance

See the failure coming weeks ahead.

Vibration, temperature and operating hours combine into a failure risk that rises long before the breakdown. The alert arrives with its cause, and the stop is planned when it hurts least.

  • Accelerometers and cameras installed without touching the machine.
  • Influencing factors explained in every alert.
  • Spare parts and stoppages negotiated in good time.

Predictive maintenance

Normal operation

12%

30-day failure risk

Normal

No failure expected in the next 30 days

Vibration
3.0 mm/s
Temperature
60 °C
Hours of use
300 h

Which factor weighs most

Vibration
Temperature
Hours of use

Illustrative animation with example values.

04Product

Datalice: industrial historian as a service.

A time-series database that stores every signal from your control and business systems without restrictions, with an optimisation service combining human and artificial intelligence.

Indicative comparison of industrial historians
Indicative comparisonDatalice (IT/OT)Traditional OT historianGeneric IT database
Write capacity200,000 signals/s200,000 signals/s5,000 signals/s
Read capacity350,000 signals/s300,000 signals/s10,000 signals/s
Disk per year (5,000 signals at 1 s)650 GB250 GB8 TB
Investment: installation and licences~€10k~€150k*~€50k
Monthly maintenance~€1k~€1.6k*~€0.5k

* Depends on the number of variables. Indicative figures, excluding VAT, to compare orders of magnitude; every project is sized individually.

What’s included

  • Datalice database for industrial and business time series.
  • External visualisation of control systems, outside the control room.
  • Dashboards and reports, automatic, for every profile.
  • Alerts and diagnostics on complex conditions.
  • Collaborative data science: your engineers and ours, optimising every day.

Two flavours: on your premises (your data, your servers, our guarantees) or in our private cloud in Spain (your data, our servers, our guarantees).

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05Mining and energy

Production, quality and safety under control.

Production dashboards

Real-time, mobile data on daily and average output, OEE, copper grade, d80 for each grinding line, discharges and emissions. Incidents avoided in time and business continuity.

Machine vision

Heatmaps of machinery routes, load counting per zone, people detection for health and safety, steam and smoke detection in stacks and leaks, and closure of doors and hatches.

Digital twins and AI

The key influencing factors behind each metric, such as copper grade, plus production and quality prediction, predictive maintenance and what-if analysis.

06Industrial cybersecurity

Integrate without opening doors to the control system.

Secure integrations

  • Secure remote access for control-system maintenance vendors.
  • Active monitoring of SCADA, PLC and DCS, redundancies and communication quality.
  • Industrial cybersecurity risk audits.

Air gap and recovery

  • Machine vision keeps the “air gap” with the control system.
  • Virtualised SCADA backups for analysis and instant disaster recovery.

Predictive operations and training

  • Predictive cybersecurity that detects anomalous behaviour.
  • Influencing factors and probability of future stoppages.
  • Cybersecurity training for staff.

07Features and benefits

What are you really getting?

Full visibility of the business, quantified and contained risks, cost savings and operational excellence. Specifically:

  • Historical data to diagnose problems
  • Historical data to model processes
  • New industrial variables and complex calculations
  • Recreation of past situations
  • On-screen, email and mobile alerts
  • Reliable internal audit and fraud prevention reports
  • Dashboards and KPIs for management
  • Real-time data outside the plant
  • Automatic daily, weekly and monthly reports
  • Success-based optimisation of existing processes
  • Predictive maintenance
  • Future production forecasts
  • Augmented reality with real-time values
  • Usage and downtime history from vibration and human tasks
  • Machine vision for quality without voiding warranties

Contact

Let’s talk.

Tell us about your challenge by email or phone. In a first, no-strings session we align scope and approach, and tell you honestly whether we can help.

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