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Motif Analytics , a startup specializing insequence analyticsfor growth team , today announced that it has raised a $ 5.7 million seed funding round led by Felicis and Amplify Partners . InvestInData angel grouping also enter .
At its core Motif helps product teams find the patterns in how user interact with their tools . just seeing metrics on a splasher , the team argues , does n’t provide the right kind of information . or else , you may need to see what happens between a drug user look at a product Thomas Nelson Page , clack around a website , putting something into a shopping go-cart and then checking out .
The society was founded byPanko(CEO ) andTheron Ji(CTO ) , who encounter while at Google . There , Panko evidence me , he found that while he had entree to massive quantity of data , it was knotty to unlock hardheaded insights from all of this information .
“ Reporting was kind of fine , but the practical perceptiveness , which is usually ‘ what should I be doing to move my prosody , where can I find my levers to determine the business ? ’ Those were complex , ” he secernate me . So he started front at sequence analytics as a tool for incur those levers and developed an internal sequence analytics platform inside of Google , which became quite pop inside the company . Now , after a stint at Uber , he and Ji , who built those tool with Panko deep down of Google , determine to team up to build a party around this idea .
Sean Taylor , who antecedently worked at Facebook and Lyft in various data science positions , joined the squad as the third co - founding father .
Panko tells me that the squad currently direct heads of growth and operations . These users interact with Motif mostly through its light - to - learnSequence Operations Language(SOL ) . The more stock SQL , the team argues , is n’t suited to succession analytics . The squad is working on a full feature puff - and - bead user interface , too , though , which will spread up the service to more non - expert users , too . The termination of this is an interactive visualization , though , that make it well-fixed for near any user within a troupe to see where possible changes could lead to increased growth . As the team noted , Motif drive a lot of the rigor of the data tools that data scientific discipline teams are already using and then combines that with its SOL and interactional visualizations .
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One nifty scene of Motif ’s technology deal is that it utilize orotund language models ( LLMs ) at the core of its analytics engine .
Another nice expert innovation : Motif uses WebAssembly to provide drug user to work with local datasets in the web browser without having to send any of their datato the company ’s host . That ’s not go to exercise for very large datasets , but it does give potential users a chance to try out the table service without get to link their private information to Motif .
“ As a tech merchandising administrator and investor , I have note firsthand how the analytics space has become overcrowded with similar - sounding ware , which always overpromise and underdeliver , ” said Viviana Faga , general mate at Felicis . “ Motif‘s fresh and differentiated approach uses sequence analytics and has a unequaled way to apply AI to analytics data . Most companies fight with complex data mint and mountains of effort to extradite practical insight for everyday business decisions — now withMotifthere ’s an easy - to - manipulation solution that will reinvent how tech companies use their data . ”
