Process data analytics & real‑time control

Helping manufacturers stabilise and improve plant performance

We match vast industrial control experience and knowledge of mathematics with a portfolio of process data analytics and real-time control and optimisation applications.

Spiro Control announce launch of Spiro Dynamic Optimisation

Utilising a Digital Twin of the process, Spiro’s Dynamic Real Time Optimiser is designed for facility wide optimisation, solved at high frequency with no steady state wait time.

Spiro Digital Twin

Benefits of Spiro Control

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  • Expertise

    • Our Principal Consultants each have over 30 years of industrial control experience
    • We are technology ambidextrous, meaning we are able to work and integrate with many other applications and platforms
    • Our developers have a range of backgrounds, from Chemical Engineering to Computer Science, to ensure we always develop useful solutions with industrial scalability

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  • Leading technology

    • Digital Twin and Optimisation applications run in real time
    • Highly efficient state space control algorithms achieve millisecond execution frequency
    • Intuitive web based UIs and on board dashboarding solutions
    • All of our products categorised as IIoT / Industry 4.0 solutions
    • AI / Machine learning used to “train” process models and decrease run time requirements

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  • Agile Methodology

    • Continual communication with our clients, fostering collaboration
    • Agile vs. Waterfall approach, meaning we can adapt to change requests and feedback throughout the project
    • Early Application means we get feedback sooner, saving time and cost associated with lengthy iterations at the commissioning stage

Industries

renewable-energy

Renewable Energy

minerals

Mining, Minerals & Metals

smart-cities

Smart Cities

utilities

Utilities

power-generation

Power Generation

chemicals

Chemicals

food-and-drink

Food & Beverages

pulp-and-paper

Pulp & Paper

digestion

Aerobic Digestion

oil-and-gas

Oil & Gas