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.
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
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
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