Two Glacier programs at work in an MRF in Chicago. The robots can type as much as 45 gadgets per minute. | Supply: Areeb Malik, co-founder of Glacier, on LinkedIn
Glacier, which makes use of synthetic intelligence and robotics to effectively type recyclable supplies, at this time introduced that it has raised $16 million in Sequence A funding. The corporate additionally stated Recology’s King County Materials Restoration Facility, or MRF, in Seattle has deployed a fleet of its AI recycling robots.
San Francisco-based Glacier stated this funding caps a breakthrough interval throughout which it expanded its presence to markets together with San Francisco, Los Angeles, Chicago, Detroit, and Phoenix.
“The funding isn’t solely an unbelievable testomony to this development trajectory that we’re on, on our quest to allow round manufacturing; however we’re utilizing the funding in a few notable methods,” Rebecca Hu-Thrams, co-founder and CEO of Glacier, instructed The Robotic Report. “The primary is simply to make our {hardware}, together with our robotic and our imaginative and prescient programs, more and more extra scalable and sooner to deploy.”
Glacier has assembled robots to sort out the unpredictable nature of recycling streams. Its pc imaginative and prescient and AI expertise should determine and kind over 30 various kinds of supplies, which might vary from frequent gadgets similar to PET plastic and aluminum cans to particular packaging sorts like toothpaste tubes, cat meals tins.
Glacier builds out information flywheel
Hu-Thrams stated that Glacier has more and more been taking a look at its recycling robots and AI information as two elements of the identical flywheel. The information makes the robots higher and extra correct, whereas the robots collect extra information with each choose they make.
“What we’re actually targeted on now could be constructing out that flywheel and likewise understanding how we are able to harness that information to unravel issues that will even be agnostic of what the robotic is straight away meant to deal with,” Thrams stated. “Our final imaginative and prescient is for Glacier to turn into a software that may be an working system for these recycling amenities.”
The Ecosystem Integrity Fund (EIF) led the spherical. It additionally included participation from present traders together with New Enterprise Associates (NEA), AlleyCorp, Overture Local weather VC, Amazon Local weather Pledge Fund, and VSC Ventures.
New traders in Glacier included Elysium, Overlap Holdings, Cox Exponential, Alumni Ventures, One Small Planet, and Working Capital Fund.
Closing the round manufacturing loop
To know Glacier’s long-term targets, you first want to know how the recycling worth chain works. It begins with placing recycling bins out on the curb. As soon as it’s there, the recyclables are picked up by a truck and brought to an MRF, Hu-Thrams stated.
“The job of that MRF is to mainly to take that big pile of commingled recycling, a lot of which can also be trash, and kind it into constituent commodities as successfully as attainable,” she defined. “So if the sorting course of have been excellent, you’d find yourself with these stunning bales of paper, cardboard, plastics, aluminum cans, and so forth that these MRFs might promote to finish market producers to show into new stuff. Now, the sortation course of, as you possibly can in all probability think about, is extraordinarily cumbersome. It’s very costly, as a result of a lot of it’s nonetheless truly achieved with guide labor.”
MRFs expertise extraordinarily excessive ranges of turnover, and if most MRFs can’t discover the workforce, they will’t type the waste into usable supplies. Hu-Thrams stated that Glacier is making an attempt to shut the loop in round manufacturing.
Ideally, supplies from recycling bins go to a facility, the place they’re damaged down into their particular person elements, repackaged, and delivered to a producing plant to be made into one thing else. Proper now, nevertheless, there’s a damaged hyperlink on this circle: the MRFs.
“Take into consideration what these MRFs are doing: They’re taking in feedstock, after which their job is to supply a sure yield at a sure high quality charge, and do all the high quality inspection you count on out of a typical manufacturing plant,” Hu-Thrams stated. “And but, they’ve so many fewer instruments than one thing like a plastic bottling plant.”
“They nonetheless have a heavy reliance on guide labor,” she added. “They nonetheless have little by means of information at scale to assist them audit their processes and enhance effectivity. That’s actually the hole that Glacier is searching for to fill for them.”
Recycling poses sortation challenges
Glacier stated its robotic prices half as a lot as standard choices and requires simply 3 ft. of conveyor house. | Supply: Glacier
MRFs are coping with an extremely heterogeneous stream of supplies which might be soiled and really troublesome to type. This has offered many challenges for corporations hoping to automate the method. First, earlier than Glacier, different recycling sortation programs used off-the-shelf robots, which have been usually too costly for the MRF, famous Hu-Thrams.
“Secondly, numerous these items have been simply bodily massive and really space-consuming in an setting that could be very space-constrained,” she added. “Think about a robotic that takes up the house of three to 4 sorters on a form line and does the job of 1.”
Lastly, MRFs, like manufacturing vegetation, dwell or die primarily based on their upstream,” Hu-Thrams stated. “This implies they require very dependable programs that may keep working regardless of the extremely variable materials stream.
“They’re not simply processing bottles and cans and paper, but additionally seeing issues like Christmas lights and surfboards and microwaves and automotive motors and even issues like weapons and hand grenades,” she stated. “How do you design a system that’s versatile sufficient to work successfully with that type of materials stream? This is the reason we determined that purpose-built was the best way to go.”
Glacier makes use of off-the-shelf elements from dependable OEMs, Hu-Thrams stated. The firm sourced these elements independently to place collectively a robotic that’s compact, has a excessive uptime, and a sooner return on funding (ROI). In actual fact, Hu-Thrams stated quite a few Glacier’s clients have gotten their ROI in lower than a yr. For recycling, a three-year turnaround can be thought of quick, she stated.
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Glacier helps MRFs get probably the most from the info it gathers
All through our dialog, Hu-Thrams emphasised Glacier’s dedication to placing its clients’ wants first. That is true relating to prices, uptime, cost fashions, clients’ rights to service their robots, and, maybe most significantly, AI.
“We are going to go to our recycling facility clients and ask them, what are the commodities, or the forms of issues, that you just care probably the most about?” Hu-Thrams stated. “We’ve truly used that strategy to flesh out the best way that we’re constructing our AI taxonomy.”
For instance, Glacier works to search out methods for its clients to make use of their information to enhance the general effectivity of the plant. “As we’ve grown out our database and as we’ve grown out the capabilities of AI, we’re truly seeing numerous clients utilizing the info as a standalone product, like a typical manufacturing plant,” Hu-Thrams stated.
“We’ve truly helped quite a few clients determine and quantify as much as one million {dollars} in incremental income they’re at present sending to the landfill yearly, after which we may help them fine-tune their plan and see real-time the place these modifications made any influence to their total restoration charge,” she continued.
Trying ahead, Hu-Thrams stated that she hopes Glacier gained’t simply be a robotics or an AI information firm, but additionally a associate to assist recycling amenities resolve top-line points. For instance, if a buyer was having issues with contamination in its paper stream, then Glacier might set up imaginative and prescient programs and robots in strategic places to assist enhance its purity charge.
“We now, maybe for the primary time, can actually assist these amenities perceive in actual time, on the merchandise degree, what’s stepping into, what’s popping out of their bales, and what’s being ejected to the landfill,” stated Hu-Thrams. “We give them this restoration software to really be certain that they’re selecting in a selected means.”
