We understand the pain of data analysis in manufacturing first-hand having worked in plant leadership for some of the world’s top manufacturers.
It’s been our mission to make manufacturing better by using artificial intelligence.
In 2013, we founded Raven to help manufacturers leverage all of their data. We started our careers on the shop floor and now we are solving a problem that we have experienced first-hand. Our first product was very similar to performance management software available today with performance dashboards and stock reports. Our “a-ha” moment came when we realized that the novelties of pretty reports and dashboards wear off and the realization that un-interpreted data provides little value. What manufacturers need is guidance, not reports. This realization has guided Raven ever since.
Want to Join Us?
If you want to help change how the world manufactures, we’d love to hear from you. Please reach out to our awesome recruiting team at firstname.lastname@example.org.
Top 10 Reasons to Work at Raven
- Work hard, play hard – Get the job done and have a good time doing it.
- Flexible hours – Get work done, put in your hours, and still have a life.
- Casual dress code – Good enough for class is good enough for the office.
- Free snacks – There is always something in the office to keep you going.
- Tight knit team – We work together and then enjoy beers at the office every Friday
- Every opinion is valued – Even students can challenge the CEO.
- Make a difference – Your work will matter from day 1.
- Make manufacturing better – Help the world be more productive.
- Emerging start-up – Be a key player in a constantly growing company.
- Join the revolution – Be an “Industrial Internet of Things” pioneer.
Our Executive Team
Our high-performing team of data scientists and manufacturing experts serve our clients in a distinct way. Our team has a broad background in plant management , management consulting , and state-of-the-art cloud-based analytics.
CO-FOUNDER/CHIEF EXECUTIVE OFFICER
Martin builds problem-solving technologies from the ground up. After working in every role of manufacturing, Martin knew companies weren’t optimizing their processes and productivity. In 2013, he founded Raven to help manufacturers improve their performance with data science. Martin brings his relentless resourcefulness and extensive experience as an engineer, executive, and serial entrepreneur to his role as CEO of Raven. He sets the company’s strategy and leads Raven’s high-calibre team. Martin holds a degree in mechanical engineering and business from McGill University.
CHIEF STRATEGY OFFICER
Whether on the shop floor or in executive board rooms, Rob brings 30 years of extensive hands-on experience in data driven manufacturing. As Raven’s Chief Strategy Officer, he pairs his passion of using artificial intelligence and progressive manufacturing management techniques with a commitment to superior operational performance. Most recently, Rob was the president and CEO of Stackpole, a global tier-one automotive parts manufacturer. Among many other roles, he was also the plant manager and group vice-president at Meridian Technologies. Rob has a BASc in Mechanical Engineering from the University of Waterloo, graduating with first class honours and dean’s honour role.
Andrew excels at transforming Fortune 500 companies into winning organizations. As a former McKinsey consultant, Andrew has experience in leadership development, operations management, and capability building. Prior to McKinsey, he worked as an operations manager for Procter & Gamble, delivering more than $500M in annual revenues. Andrew is passionate about building sustainable management infrastructure systems to deliver world-class results. Andrew has a mechanical engineering degree from Queen’s University.
BRADEN STENNING, PHD
CO-FOUNDER/HEAD OF DATA SCIENCE
Braden sees the potential of humans and machines working together. As Raven’s resident data science authority, Braden is responsible for setting the company’s technological vision. He is an expert in developing algorithms using rich, real-time sensor data, and the application of data science techniques, including machine learning. Before helping build Raven’s algorithms, Braden developed robotics to allow geological research on other planets. Braden holds a degree in aerospace engineering from Carleton University and a PhD from University of Toronto Institute for Aerospace Studies.