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Image Credits:EthonAI / co-founders Julian Senoner (CEO, right) and Bernhard Kratzwald (CTO, left) at a Siemens factory in Zug, Switzerland
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Image Credits:EthonAI / co-founders Julian Senoner (CEO, right) and Bernhard Kratzwald (CTO, left) at a Siemens factory in Zug, Switzerland
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EthonAI co-founders Julian Senoner (CEO, left) and Bernhard Kratzwald (CTO) at a Siemens factory in Zug, Switzerland.Image Credits:EthonAI
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As factories and fabrication facilities have gotten “ smarter ” through sensors , roboticsand other connected technologies , this has create a possible treasure trove of information that can be mined for insights on bottlenecks and other areas for melioration . Or maybe even to just hasten processes that would otherwise need significant manual spadework .
But much of this generate datum is unstructured and not easy to harness off the squash racket . While braggy data analytics has for year been a mainstay of industry such as finance and logistics , it has n’t to the full made its way into the manufacturing realm . This has created an untapped Au mine of insights , and more late a nascent mart for engineering science plan both to capture and make signified of a vast array of manufacturing data .
Last month , U.K.-founded Oden Technologies , now based in New York , raised a$28.5 million Series B roundto acantha growth for its data analytics platform for manufacturers . Germany’sDaedalus arouse $ 21 millionto apply AI to preciseness - manufacturing manufactory . And Belgium’sRobovision secured $ 42 millionto get computer visual modality intelligence to industrial machinery .
Now it’sEthonAI’sturn , as the Swiss startupannouncedThursday that it has raised CHF 15 million ( $ 16.5 million ) in a Series A round of fundingled by Index Ventures , with participation from General Catalyst , Earlybird and Founderful .
EthonAI finds the defects in products
constitute out of Zurich in 2021 by CEO Julian Senoner and CTO Bernhard Kratzwald , EthonAI can groom AI models for specific use case , for instance in electronics manufacturing where the customer supplies imagery of defect - free products and EthonAI’sInspectorsoftware can then identify surface defects in the products during the manufacture and assembly procedure . Apple recentlyacquired a company cry DarwinAIthat dish a similar aim , in footing of automate the visual quality direction process in element manufacture .
More loosely , though , EthonAI can combine datum from across a company ’s fabrication frame-up , from detector toline stops , and build a picture of where thing are and are n’t lick well — and even compare performance across multiple facilities to see where there might be room for advance .
In its three - year history , EthonAI has pile up some fairly high - profile customers including Siemens and cocoa - manufacturer Lindt .
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Digging down into EthonAI ’s butt securities industry reveals that semiconductor manufacture is one particular area of nidus , though the company has n’t divulged any specific customers in this space . However , depressed yieldis a known care in the silicon chip sphere , where defects in thesilicon waferscan affect the number of real operable chips post - production . Notably , Apple reportedly reached an arrangement last year with chipmaker TSMC that on the face of it hadparticularly gloomy yield rates(just 55 % at the prison term ) , with Applestriking a dealto pay only for recognize good wafer — lay aside billionsof buck in the process .
EthonAI , for its part , says it works with a “ leading semiconductor producer ” that uses its program to merge multiple datasets to conduct psychoanalysis and spot antecedently unknown relationships between outgrowth , equipment and yield charge per unit .
“ Manufacturing is at a vital juncture , and company that fail to accommodate with AI risk fall behind , ” Senoner say in a insistency release . “ Factories are grow mountains of data and AI is the keystone to unlocking perceptivity to drive operational excellence . ”
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