It was 2021 when Productive Machines spun out from the University of Sheffield Advanced Manufacturing Research Centre (AMRC) but the journey began long before that.
In 2010, Erdem Ozturk, Founder and CEO of Productive Machines formed a research team at the AMRC and together they worked for ten years to push the boundaries of the machining dynamics field using specially developed digital twins and simulations to improve productivity, monitor tool life and eliminate chatter vibrations.
Thanks to the support of the University of Sheffield, the AMRC, and the ATI Boeing Accelerator, Productive Machines was formed to bring the results of this groundbreaking innovation to every machining workshop and to make the technology we had developed at the Machining Dynamics Team available commercially.
Today the company has already impacted leading manufacturers from a variety of sectors from medical to construction. Productive Machines has raised a cumulative £3m investment and grown an amazing team of exceptional staff.
We are on a mission to make manufacturing companies’ life easier by eliminating trial and error processes and making sure that each machine tool reaches its full potential with our Software as a Service (Saas) solutions. We are creating a future where every manufacturer and machine operator can maximise quality, productivity and sustainability. We want to make process optimization technology accessible to all, regardless of the scale of operation or expertise.
Productive Machines' vision extends beyond mere technological advancement; it's about empowering manufacturers and machine operators to excel, to save costs - and to help save our planet.
We are on a mission to maximize Productivity of machines tools
Erdem Ozturk is an internationally recognised leader in the digital machining field and is a domain expert. He has more than 20 years of experience in the research and development landscape. He is an Associate member of CIRP (The International Academy for Production Engineering). He has raised £4.2 million funding for research projects he led at the Advanced Manufacturing Research Centre.
Huseyin has studied Mechanical Engineering in The University of Sheffield with a PhD on Dynamics of Robotic Machining. Throughout his studies, he focussed on designing, modelling and solving complex engineering problems in very short time scales. Within Productive Machines, he is responsible for the machining process modelling, analysis and optimisation as well as software development.
Richard is a "C suite" executive from the aerospace sector, having run Customer Support for Leonardo Helicopters and Safran Nacelles. He currently develops the Sales and Customer Success functions, making use of his experience to forge value based, commercial relationships with large, established manufacturers.
Kate Woods is a qualified Chartered Accountant, having completed her training contract with PWC. Following a move into the engineering sector she was promoted to Divisional Finance Director for a $350m division of Tyco, a large US engineering conglomerate.Over the last decade she has operated as a Portfolio FD, working with both established and start up SMEs across a variety of sectors, including Space, Manufacturing, Retail and Publishing.
Peter is a serial entrepreneur in the clean-tech space, having founded several companies with a market value now totalling over £100m. He is the founder of Iceotope and inventor of a server cooling technology for data centres that has had millions of pounds investment. He is a Freeman of the Company of Cutlers in Hallamshire and received many awards from the companies he started and supported.
Luke has many years experience working with academic and commercial partners to produce innovative digital solutions and products. His fields of interest include high performance computing, quantum computing and cloud technologies. Luke is responsible for the design and delivery of our software products, enabling our customers to benefit from the latest in machining process modelling, analysis and optimisation.
Mateo has a PhD in data-driven modelling of robotic machining processes. He has a unique combination of research & industrial experience in Machine Learning (ML) and Artificial Intelligence (AI) applications for manufacturing. Within Productive Machines, he is responsible for leading data science projects and expanding the overall ML & AI capability.
Sally is a Resourcing Professional with nearly two decades of experience and a proven track record of building high performing teams within the Engineering, Manufacturing and Technology sectors.
Thomas has 18 years of experience in technology sales having worked for well established, multi-national, Fortune 500 companies and fast growing, fast moving startups. Thomas is uniquely positioned to benefit productive machines, with his family’s business background in manufacturing, but his own career background in IT and technology.
Cristina has over 20 years experience delivering International Marketing Strategy & Digital Communications for High Tech engineering companies in the fields of telecommunications, subtractive and additive manufacturing. She has seen the international manufacturing community becoming more diverse and inclusive and contributed to Women in 3D Printing as volunteer, ambassador, panel speaker and host.
Gokturk has studied Double Major in Mechatronics Engineering and Computer Science & Engineering in Sabanci University. Within Productive Machines, he is responsible for the software development and optimisation.
Hamid has studied Manufacturing engineering at Sabanci University and during his Ph.D. he investigated several aspects of super abrasive machining including kinematic, dynamic, temperature, and thermal damages. He also was a Research Associate at the University of Sheffield modeling precision milling. He is responsible for machining process modeling, optimization, and software development at Productive Machines.
Muhammet Ozsoy has extensive background in machining science and his PhD focuses on robotic assisted milling, active vibration control, and chatter suppression methods. He is responsible for machining process optimisation, active vibration/chatter control applications, and software development at Productive Machines.
Georgie is a skilled office manager who oversees the daily activities of the office at Productive Machines. With a diverse background spanning industries such as education and the automotive sector she brings a wealth of experience that enriches her approach to managing day to day operations in a fast paced office environment.
Arvind has studied Computer Engineering at the University of Illinois at Urbana Champaign, with a Masters in Advanced Computer Science from the University of Sheffield, focusing on AI/ML. He has a strong background in AI/ML, NLP, low level systems, parallelization and GPUs, and cloud computing. He is responsible for software development and optimization.
Mehmet studied Electrical and Electronics Engineering at the Middle East Technical University, specializing in the computer area. He has a strong background in low-level systems, embedded systems, and computer architecture. Within Productive Machines, he is responsible for software development and optimization.
Baris, an Electrical and Electronics Engineering graduate from Middle East Technical University, specialises in computer science. Proficient in both low and high-level programming languages, he possesses a strong background in embedded systems and computer architecture. Within Productive Machines, he is responsible for software development and optimisation, with a focus on CAD/CAM plug-ins.
Arman got his MSc (Res) from University of Sheffield on Advanced Manufacturing Methodologies focusing on force modelling of micromilling. Following that, he worked for the civil nuclear industry with an emphasis on machining dynamics, robotic decommissioning and finite element analysis of milling and distortion. Currently at Productive Machines, he is responsible for machining process modelling, analysis and optimization.