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Recycling today kind of suck . People are generally confused about what can be reprocess and where . As a result , only about32%of eligible waste really gets recycle .
It would be a lot well-off if citizenry could underprice everything into one bin and have the waste - direction companionship deal with it , but that ’s proven to be too expensive with humans in the loop .
Enter robots . Myriad companies , from pocket-sized startupslike Glacierto large multinationalslike Apple , have been work to automate recycling . Most of that study has centered on the robot , placing them in existing deftness to help humans recover more waste matter .
More recently , Amp Robotics , an former entrant , exchange its business model to focus on running integral facilities . That shift has now netted the party $ 91 million in refreshful funding .
The decennary - old company has deploy around 400 robots , and it operates three facility with another in the works . Companies can set apart how many sorting modules depending on how much codswallop they necessitate to sort or which material they ’re look for . Inside , cameras follow the flow of trash , using AI to identify what can be recycle , and automatic arms pluckiness bits from the transporter bang .
Amp handles mental process , criminal maintenance , and upgrades , with the catching troupe handling wastefulness sourcing , offtake of any valuable stuff , and administration of anything that ca n’t be recycled . It ’s essentially another “ as a service ” clientele model , with the company charge per short ton of permissive waste screen .
The young funding turn , a Series D , was go by Congruent Ventures with participation from Blue Earth Capital , California State Teachers Retirement System , Liberty Mutual Investments , Wellington Management , Range Ventures , Sequoia Capital , Tao Capital Partners , and XN .
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The bout is a little smaller than Amp’sSeries C , which after increase ended up raising $ 104 million , perSEC filing , highlighting the thought-provoking fundraising environment that many mid- to belated - stage startups expression .
