Software for Manufacturing Process Improvement
Fero uses AI to help manufacturers find and eliminate process inefficiencies, so you don't have to choose between success and sustainability.
Find and eliminate process inefficiencies
Your manufacturing production is constantly being hit from all sides with changes, from rising energy costs to increased variation. Solving these takes months and significant resources; not solving them means you're leaving money on the table.
With Fero, process engineers can rapidly model complex processes and learn how to make them more efficient. It's the optimization solution you've always been using, just upgraded for the digital age.
Features built for industry
Connect data to the right context
Artificially intelligent models only drive value when data is understood in the appropriate context. Fero makes it seamless to link process data to production setup, so the models can draw the most accurate conclusions.
Discover data driven analysis
Understand outputs with confidence
AI/ML fails when operators can't trust it. Unlike conventional black-box technology, Fero’s white-box algorithms give your team the context and confidence they need to make important decisions.
About white-box machine learning
Change operating set points before it's too late
Optimization initiatives don't always match the reality on the factory floor. With Fero deployed directly in the control room, operators get live recommendations that take into account constantly shifting conditions.
About live optimizationSolutions for every sector
Fero is built for complicated manufacturing settings. Build a virtual replica of any process, then draw on powerful white-box machine learning insights to optimize performance while reducing costs and emissions. You won't just hit your KPIs—you'll also get a more proactive approach that transforms your process as well as your bottom line.
Steel
Reduce raw material costs, while delivering the quality customers expect.
Chemicals
Go beyond data analytics to tackle complex production issues.