The expanded partnership will aim to increase IndustrialML’s presence in the steel industry, and help reach new markets
Boston, MA- IndustrialML announces the expansion of its partnership with one to ONE Holdings with the purpose of offering exclusivity on resale rights within the secondary steel processing industry.
one to ONE Holdings is the holding company of Japan’s Daiwa Steel Tube Industries, and the main investor in IndustrialML.They specialize in providing technologies for galvanized steel tubing products, used for scaffolding, greenhouses, and other construction.
IndustrialML uses machine learning to make factories smarter – their platform allows the gathering of data from multiple sources to help factories understand their production status better. They integrate real-time monitoring, machine vision, and advanced analytics applications to deliver actionable insights to operators and engineers.
The partnership expansion means that IndustrialML can devote the entirety of their technical resources to the development of their platform for the secondary steel market, in which one to ONE Holdings is heavily involved. The partnership was previously established on the premise of the steady development of IndustrialML with one to ONE Holdings as a direct customer, but the expansion creates a closer relationship whereby they can penetrate the manufacturing market on a broader scale.
There are two key changes in the expansion, which both companies hope will enable greater market penetration. Firstly, the amount of revenue from one to ONE Holdings will increase. Secondly, rather than IndustrialML relying on a direct sales model, they will use their partnership with One to One Holdings for distribution of their platform.
IndustrialML and one to ONE Holdings want to demonstrate the value that visualization, alerting, and reporting through machine learning can have. The variety of analyses that machine learning provides is ever-growing, leading to more valuable insights.
“I have felt for a long time that the best pathway for the growth of an industrial IoT platform in manufacturing is to work closely with a manufacturer,” says Arjun Chandar, CEO of IndustrialML. “I am now excited to be able to do that more closely, so that our platform is perfectly set up to expand in both secondary steel and in new markets in the next couple of years.”
Shin Nakamura, President of one to ONE Holdings, adds: “We have a shared goal of wanting to make the future of manufacturing more effective and meaningful, and this is why we complement each other so well. Across the two teams, we are virtually working together from Singapore, Vietnam, India, Japan, and the US, and this shows the power of perseverance in spite of the disruption caused by the COVID-19 pandemic.”
IndustrialML is an enterprise software company serving industrial customers. Our platform integrates production data from sensor, enterprise IT, video, and audio sources, and allows factories to visualize, analyze, communicate, and improve key indicators of production performance to all of their stakeholders. Our particular value comes in our ability to offer analytics and machine learning-driven insights in real time; our end-to-end enabling technology which allows factories to collect, transform, store, analyze, visualize, provide notifications, and report on disparate data through a single platform; and our industrial intelligence tools targeted at line operators, manufacturing engineers, and plant managers rather than data scientists. We build the software and data tools required to keep factory lines running and producing at high quality.
About one to ONE Holdings
one to ONE Holdings (o2Oh) is a holding company of Daiwa Steel Tube Industries (DSTI) in Japan and operating in Singapore. We support the digital transformation of DSTI and other steel tube manufacturers for growth in the domestic market of Japan and expansion in countries all around the world. Based on our deep understanding of tube manufacturing, especially about in-line galvanizing, o2Oh will contribute to our society by diffusing the most eco-friendly galvanized steel tubing production process, state-of-the-art operational optimization, know-how using machine learning and deep learning, and innovative ways to empower all the people in the tubing business such as operators, engineers, salespeople, administrators and managers.