The addition of the Falkonry self-learning anomaly detection solution to existing IFS enterprise simulation and AI-based scheduling and optimization capabilities further evidences the company’s strategy to use AI pervasively to provide end-to-end intelligent insights in EAM (Enterprise Asset Management), across ERP (Enterprise Resource Planning), MES (Manufacturing Execution System), PSO (Planning, Scheduling, Optimization), FSM (Field Service Management) and ESM (Enterprise Service Management) technology to increase people and asset productivity.  

Headquartered in California, USA, and regional presence in Mumbai, India, Falkonry was founded in 2012 by CEO Nikunj Mehta. The company has customers across North America, South America, and Europe, including the U.S. Navy and Air Force, Ternium, North American Stainless, Harbour Energy, and SSAB, demonstrating its focus on industries in industrial manufacturing and Defense agencies.

IFS CEO, Darren Roos, commented: “Falkonry is unique in the market because its technology is agnostic and also it does not require data scientists. These are great differentiators for Falkonry that means the solution is both scalable and low-cost to implement—two fundamental attributes that very much align to our own values.” Roos added: “Falkonry’s technology can be applied in all industries, and whilst the team has some hugely impressive references in IFS’s focus markets on asset performance management, manufacturing execution systems, servitization, and configurable workflows, we see a really broad addressable market to capitalize on.”

Nikunj Mehta, CEO of Falkonry, commented: “The convergence of artificial intelligence and industrial processes has become increasingly crucial for organizations seeking to enhance productivity through data”. He added: “We are thrilled to join forces with IFS and looking forward to combining our unique strengths to provide a truly compelling value proposition to our existing customers as well as IFS customers.” He concluded: “Becoming part of IFS will enable us to further innovate and extend the value we create for our customers.”

“Today's enterprise is continuously collecting asset performance data, making it a challenge across a multitude of industries from manufacturing to service to put it in the right context and take action in real-time. Organizations using artificial intelligence and machine learning models with their data for self-learning asset performance anomaly detection will generate critical insights faster, boosting productivity and business performance,” said Brian O’Rourke, IDC Research Manager, EAM and Smart Facilities.

This acquisition follows soon after the IFS acquisition of Poka, a provider of connected worker technology that empowers factory and field operatives to work smarter, safer and drive productivity. The combination of Falkonry and Poka with IFS Cloud makes IFS the most compelling vendor for organizations wanting to establish the most progressive and effective Smart Factories of the future.

IFS expects the acquisition of Falkonry to complete in Q4 2023. Union Square Advisors LLC served as exclusive financial advisor to Falkonry in connection with the transaction.

About IFS 

IFS develops and delivers cloud enterprise software for companies around the world who manufacture and distribute goods, build, and maintain assets, and manage service-focused operations. Within our single platform, our industry specific products are innately connected to a single data model and use embedded digital innovation so that our customers can be their best when it really matters to their customers—at the Moment of Service™. The industry expertise of our people and of our growing ecosystem, together with a commitment to deliver value at every single step, has made IFS a recognized leader and the most recommended supplier in our sector. Our team of over 5,500 employees every day live our values of agility, trustworthiness, and collaboration in how we support thousands of customers.

About Falkonry

Falkonry is an AI software platform for time series data, enabling industrial organizations to improve operational productivity, reduce risk, and put an end to unplanned downtime. By analyzing terabytes of machine and sensor data, Falkonry AI applications identify developing faults earlier and better than would ever be possible with manual systems. Maintenance and operations teams use Falkonry applications for faster troubleshooting and taking timely actions. This patented AI requires no set up and securely scales across the enterprise in both cloud and edge.