Deep manufacturing knowledge, machine learning expertise, and award-winning AI technology result in practical, wide-reaching, and measurable impact in factories all over the world.
We are a team of highly skilled engineers, data scientists, and tech professionals whose goal is to become the global leader in AI solutions for manufacturing. We have a deep understanding of artificial intelligence and its application in production environments. We work closely with our clients to ensure they see continuous value from AI deployments on the factory floor.
DataProphet aims to become the leading provider of industrial AI solutions for global manufacturers. Our tangible values have shaped our culture and have helped us become trusted, professional advisors to our clients on their journeys toward autonomous manufacturing.
DataProphet’s prescriptions have resulted in a significant reduction in scrap and rework, making a positive impact on our bottom line.
- CEO – Engine Block Manufacturer
Our leaders built DataProphet on a foundation of consistent communication, knowledge transfer, and a spirit of curiosity and continuous learning. Now, they are leading the business through the Fourth Industrial Revolution with technologies and approaches that challenge norms, propose novel ideas, and present alternative ways to solve complex industrial production challenges.
CEO and Co-founder
Frans is the CEO and Co-founder of DataProphet. Since founding DataProphet in 2014, Frans has continually worked to highlight the real value machine learning technology can, and should, offer manufacturers, and regularly speaks at AI industry workshops and events.
Chief Technology Officer
Mike is the inventor of DataProphet PRESCRIBE and currently drives value delivery to customers through consulting and product deployments. He leads DataProphet’s innovation, R&D and technical teams. These teams investigate new and emerging machine learning techniques.
Chief Commercial Officer
Andrea is the acting Chief Commercial Officer of DataProphet, using her deep knowledge in scaling tech companies and her wide international network to position DataProphet as a global leader.
CEO and Co-Founder
Co-Managing Partner Knife Capital
Representative of Industrial Development Corporation
Director Yellowwoods Investment
CEO of Invictus Capital; Co-Founder of DataProphet
Chief Executive Officer Norican Group
Chief Executive Officer Draper Gain Holdings
We are upfront about the manufacturing value we expect to create, and clear on our objectives and processes for achieving it. Together with our clients, we translate the promises of AI for manufacturing into practical solutions that guarantee valuable results.
Join DataProphet’s diverse, global, and ambitious team on our mission to inspire change in the world by solving technical manufacturing problems using world-leading AI.
DataProphet is always looking for highly-skilled, passionate people to help us do daring, complex, and incredibly rewarding work. Browse our vacancies and become part of a team that is professional, supportive, and fun - a team that creates a welcoming, dynamic space for everyone to bring their best selves to work.
This exciting role will touch all aspects of the DataProphet stack: from architecture design to infrastructure management, developing toolchains for our data scientists, and right through to implementation of various processing pipelines and assets. You will be able to directly contribute to and influence product development, customer install teams, and infrastructure/operations teams. This senior-level role comes with team lead responsibilities; and you will have a high degree of autonomy in your daily tasks, with a large influence on the DataProphet roadmap.
This exciting role will be to bring future features to life inside our CONNECT product. CONNECT is an Industrial Internet of Things (IIOT) platform that is the value-enabling layer for our PRESCRIBE, DETECT, and future, artificial intelligence solutions. We have hundreds of devices globally streaming real-time data into CONNECT and would like to develop new widgets, dashboards, and services to drive compelling engagement with this data.
We are seeking talented and driven individuals to work with our world-class, multi-disciplinary team as they solve problems with cutting-edge technology and transform the industries in which they operate.
As an install team lead you are responsible for the delivery of DataProphet’s award-winning PRESCRIBE system into many diverse clients. Using the comprehensive tooling developed by the DataProphet team, you will lead a technical team through the installation of edge devices and data extraction systems, the design of principled, data-driven representations of complex industrial processes, and the delivery of AI-generated insights into the hands of client production teams. This role also includes coordinating delivery schedules, supporting your team in the execution of commissioning tests, and overall value delivery to the customer.
As an install team engineer, you are responsible for the installation and configuration of the DataProphet stack (in the form of a physical edge device, and/or software tool). This is as part of the delivery of DataProphet’s award-winning PRESCRIBE system into many diverse clients. This role is primarily concerned with connecting production machines and client-side data sources to our computing infrastructure and configuring data processing pipelines to construct representations of the underlying production processes.
As an install team scientist, you are responsible for building data representations of physical processes and running optimization services against these models as part of the delivery of DataProphet’s award-winning PRESCRIBE system. Using the extensive tooling developed by the DataProphet team, you will critically evaluate the model output from the data representation and exercise judgment in selecting the best plant operating paradigm.
Explore how AI and machine learning are digitally transforming manufacturing through overall equipment effectiveness and higher product quality.
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