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WhenTwincame out ofstealthin January 2024 , AI agents were more of a theoretical conception than a reality . Today , the Paris - based company is releasing an automation broker in partnership withQonto , the fintech startup that offers commercial enterprise bank account to more than 500,000 client across Europe .
If you want to automate repetitive tasks , there are already several way to harness these problem . Some companies habituate API - based , no - computer code or low - code automation merchandise likeZapier . Others rely on RPA software system , such asUiPath .
With its team of nine people , Twin thinks there ’s a much more effective means to wield automation . As you may have guessed , it involved artificial intelligence and data processor use models .
Invoice Operator , Twin ’s first product designed for Qonto , is a good representative of why it make sensation to use contrived intelligence activity . Qonto manage million of invoices per calendar month . And customers spend several hours per calendar month gathering invoices and uploading them to Qonto .
Over the past three months , Twin has make an automatic invoice - retrieval shaft that can speed up this process . When users set in motion Invoice Operator , Twin first bring the lean of transactions with missing invoices . It then shows the leaning of service that it needs to get at to download invoices next to a internet browser window showing the agent ’s actions .
If you involve to lumber in to a serving to download invoices , the browser app pauses and asks you to enter your credentials manually . Once you do this , you may tap a button to let the agent continue its work .
After that , Twin ’s Invoice Operator automatically find your tilt of past dealings , downloads invoices , and attach the PDFs to the transactions in your Qonto account .
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“ When you do that at the scale of Qonto , you basically involve to cover a very , very long tail of service . one thousand , tens of thousands and soon hundreds of K of different services that everyone is using , ” Twin co - founder and CEO Hugo Mercier said during a demonstration of the product .
“ And that would be completely unimaginable with RPA because you would ask to make a single custom book per web site and then every clock time the internet site change , you would have to modify the script , ” he added .
As for API - based mechanisation Cartesian product like Zapier , Mercier said that it took Zapier 10 years to support 8,000 lotion on its political program . Twin already supports thou of applications for its Invoice Operator just a twain of month after starting work on the product .
Behind the scenes , Twin runs a Chromium - ground WWW web internet browser on a server . The startup uses OpenAI ’s CUA ( computer - using agent ) model . In fact , Twin was one of the 15 companies that got to try CUA in beta .
CUA is also the model that powers OpenAI ’s Operator , its prosumer intersection that allow you enter a prompt to let an agent do an action mechanism for you . In gain to better performance , Twin believes it should be easier to use agents that graze the web for you .
“ We worked a circle on making the experience exceedingly mere . We are really targeting the end user , maybe the great unwashed who are not technical school - friendly . They do n’t have to prompt or configure anything . You just lumber into your account statement , launch it , and it navigate to find the invoices , ” Mercier say .
After invoice recovery , Twin think there are many industries that could gain from B2B agentic software . For case , agents could automatically make do orders for an e - commerce caller , classify the catalog of a market , or retrieve info for call center agents .
Twin is pitching a futurity in which AI agents become punk , faster , and more accurate across a wide variety of tasks . Now lease ’s see if the startup can turn the core agent platform that powers Invoice Operator into a product that developer can start using in their own applications .
