SIG Machine Learning Pty Ltd. (SIG ML) is an Australian software company that combines engineering principles with advanced analytics and machine learning to deliver next-gen engineering software.
SIG ML has reached a new milestone with more than $1M in FY revenue, with 3X revenue growth two years running.
These milestones come from a team of just two (not a typo!) industry experienced engineers with business partners across Australia and the U.S. to deliver digital and automation software on accelerated timelines.
The company was founded to empower efficient and innovative engineering practices across industrial sectors where engineers need to process and analyse large data sets to make decisions.
SIG ML’s core technology is NEXGINEER, an advanced software suite designed to equip engineers with more advanced, intelligent tools.
The most impactful application to date has been the SmartPCP(TM), an Industry-First A.I.-Augmented Advanced Process Control (APC) application for artificial lift (pumping) systems in oil and gas assets. The SmartPCP(TM) is currently operational on Kelvin A.I.’s Industrial Automation platform.
This breakthrough is enabling interconnected, autonomous, intelligent operations of hundreds of remote assets for a safer, more sustainable energy future. For more information or a demo, please visit the SIG ML website: https://www.sigmachinelearning.com/product-spotlight.
Having proven the efficacy of intelligent control technology at scale, the company is now looking to expand its reach and help more customers achieve their sustainability and efficiency goals.
Commenting on the recent success, Founder and CEO Sam Bost said: “We want to express our sincere gratitude to our customers for their support and trust in SIG ML. Your collaboration and feedback have been invaluable in driving our continued growth and innovation. As we look to the future, we are more focussed than ever on delivering tailored solutions that help our clients achieve their objectives and contribute to positive change in the industry."
Our details are below, to get in touch or follow the journey!
Website: https://www.sigmachinelearning.com/
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