Clearpath raises $30M to expand indoor self-driving vehicle market

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Funding from iNovia Capital, Caterpillar Ventures, GE Ventures and previous investors will expand AC Grad’s new OTTO Motors division

Clearpath Robotics, a leading provider of self-driving vehicle solutions, announced today the completion of a $30 million (USD) investment led by iNovia Capital with participation from Caterpillar Ventures, GE Ventures, Eclipse Ventures, RRE Ventures and Silicon Valley Bank.

Clearpath will use the funding to grow the company’s industrial division, OTTO Motors. Clearpath launched OTTO Motors in 2015 to focus on self-driving vehicles for material transport inside manufacturing and warehouse operations.

“Factories operate like small indoor cities, complete with roads, traffic, intersections and pedestrians,” said Matt Rendall, CEO and co-founder of Clearpath. “Unlike city streets, a factory floor is a controlled environment, which makes it an ideal place to introduce self-driving vehicles at scale. Companies like Google, Tesla and Uber are still testing, whereas our self-driving vehicles are commercially available today.”
Companies including GE and John Deere have deployed OTTO’s material handling equipment in their facilities.

“The market for self-driving passenger vehicles will be over $80 billion by 2030,” Rendall said. “We believe the market for self-driving materials handling vehicles will be equally significant.  Clearpath has a big head start, and this new funding will allow us to further accelerate the development of the best self-driving software in the industry – and bring more OTTOs into the world faster.”

“Software-differentiated hardware will disrupt every major sector over the next decade,” said Karam Nijjar, Partner at iNovia Capital. “Self-driving vehicles are already revolutionizing transportation. Clearpath has built a world-class team, technology and customer base to accelerate that vision. Clearpath isn’t just building the factory of the future; they are laying the foundation for entirely new business models enabled by artificial intelligence, autonomy and automation.”

Manufacturers need flexible and efficient automation more than ever due to rapidly changing market demands. The U.S. alone anticipates a shortage of more than two million skilled manufacturing workers over the next decade. Meanwhile, consumers are increasingly demanding ethically sourced, domestically made products. OTTO Motors’ self-driving indoor vehicles help fill the labor gap while providing manufacturers an affordable way to keep or return operations onshore. Clearpath is helping create a new industry and category of domestic jobs developing, servicing and working with their self-driving vehicles.

“Clearpath is developing exciting self-driving vehicle technology for industrial environments,” says Michael Young, Director at Caterpillar Ventures. “We look forward to collaborating with Clearpath to drive efficiency gains in Caterpillar facilities.”

Clearpath previously raised $11.2 million (USD) in a January 2015 Series A round led by RRE Ventures with participation from iNovia Capital, GE Ventures and Eclipse Ventures to develop their OTTO product line. Officially launched in 2009, Clearpath’s founders established the company by participating in a U.S. Department of Defense-funded robotics competition to design a robot that could detect and remove land mines. With help from a $300,000 angel investment the following year, the team pivoted from mine removal to providing unmanned vehicle development platforms for the global research community. After launching the first OTTO product in September 2015, Clearpath established its OTTO Motors division to focus on self-driving vehicles for materials handling.

Clearpath To Provide GE Healthcare Repair Center With Self-Driving Vehicles

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A fleet of OTTO self-driving vehicles will automate just-in-time parts delivery within Milwaukee facility

(Kitchener, ON, Canada – April 21, 2016)  Clearpath, the developer of OTTO – a self-driving vehicle designed exclusively for material transport – has been selected to automate just-in-time parts delivery in a GE Healthcare repair facility being expanded near Milwaukee, Wisconsin.

“The OTTO fleet will optimize GE Healthcare’s just-in-time manufacturing process to help enable repair cells operate at full capacity,” said Matt Rendall, chief executive officer at Clearpath Robotics.

This GE Healthcare facility is a Repair Operations Center (ROC) that repairs medical equipment, tests functionality, recycles retired equipment, manages warranty service programs, and ships qualified high quality parts to field services to maintain a high level of customer fulfillment at locations in the United States and around the world. The fleet of OTTO self-driving vehicles will be used to load and deliver parts to work cells for repair. Once restored, OTTO will dispatch materials to shipping for return to customers.

“Clearpath’s OTTO self-driving vehicle and intelligent technology will help us serve our customers with speed, flexibility and accuracy, and gives us the ability to scale our operations going forward,” said Patricio Espinosa, director of Repair Operations for the Americas at GE Healthcare.

OTTO enables customers to improve throughput, reduce costs, and to stay flexible with the changing needs of their material flow process. The solution provides infrastructure free navigation, obstacle avoidance, human-safe collaboration, and a payload capacity of 3000 lbs.  Customers using OTTO self-driving vehicles typically experience a return on investment in 18-24 months.  For more information about OTTO, visit www.ottomotors.com.

Innovation Inside: Dematic

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How Dematic is investing in R&D to solve complex problems

Imagine you work in a warehouse and have to package up a pallet with various products to be shipped to a grocery store – items like pop, chips, pasta, canned goods, etc. It’s pretty simple, right? You put the chips on top of the pop because if you did it the other way, the chips would get crushed. You put the heavier boxes at the bottom to create stability so the whole thing doesn’t fall over.

Simple. Except it isn’t. In reality your brain is just really, really good a quickly identifying an objects physical properties – weight, shape, stability – and solves what is, in fact, a rather complex mathematical problem without you even being consciously aware of it. But if you’re not really aware you’re doing it, how would you teach a computer to do it? There are so many variables you can’t possibly program them all; you need to create software that can think intuitively, extrapolate, and learn from each experience.

It’s an immensely complex problem, and one that Dematic is hoping to solve through research. Dematic is a global player in the supply management and warehouse automation field, with roots that can be traced back to 1819 and the founding of German crane manufacturer Demag.

Their Software Development team in Waterloo is considerably newer – an arm of the company that landed here in 2013 thanks largely to the company’s commitment to researching problems and finding creative solutions.

A few years ago, Dematic started to invest in new product development, with a specific focus on software to help companies optimize their supply chains. The company sought out a top tier executive who could lead a new software R&D team and quickly found on Pete Devenyi, former SVP of Enterprise Software from BlackBerry. Interested in learning more about Waterloo Region, Dematic researched the community and found a university globally-renowned for research and innovation, a top ranked talent pool, and one of the most robust tech communities anywhere in the world.

They made a decision: why bring Devenyi to Michigan when the talent, resources and research capabilities to build the cutting edge software they needed were here. And so Dematic’s Waterloo office was born.

Devenyi subsequently hired Scott Wahl, a former BlackBerry colleague as software director to run the Waterloo office. They have now grown the Waterloo branch of Dematic to 30 people, including co-op students and recent graduates from University of Waterloo, and there is no signs of stopping. The team works closely with the rest of the global software organization, with teams in US, Germany, and Australia, to accelerate software innovation and product delivery. While the team is part of a $2B global organization, they have enough autonomy to run like startup. This allows them to remain nimble and flexible, but still have the resources and confidence of a large organization to back them up.

Innovative ideas aren’t exactly new to Dematic – in 1908 the company (then Demag) built the world’s largest floating crane, which was used to construct the famed White Star steam ships RMS Titanic and RMS Olympic.

But, what sets Dematic apart today is a focus on using research to stay ahead of the curve. Through a partnership with the University of Waterloo’s Department of Management Sciences in the Faculty of Engineering, and leveraging grants from both Collaborative Research & Development (CRD) and Ontario Centres of Excellence (OCE), Dematic has been researching and developing advanced mathematical models and machine learning algorithms to solve complex automation problems.

One of the focus areas for the Waterloo team is to develop advanced analytics capabilities. The end goal: give customers the insights they need to manage their operations efficiently and turn managers into researchers within their own warehouses; constantly analysing, improving, and iterating on design and process, rather than simply repeating– leave that for the robots!

Dematic is also investing in the future of innovative supply chain management through the  Dematic Scholarship for Excellence in Supply Chain Optimization with the University of Waterloo’s Faculty of Engineering. The scholarship is awarded to one male and one female second year engineering student at the University, selected based on academic standing and an essay submission.

In an age where consumer expectations, not organizational capabilities, determine who succeeds, Dematic’s seems poised to change the way we experience receiving… well, just about everything.