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A raise number of businesses are hug data role model — abstract models that organize constituent of data and standardize how they tie in to one another . But as the information analytics and AI boom drive organizations to expect more of data model , many of the sometime substitution class are proving unmanageable to manage — and are exceptionally brickle .
At least , that ’s what applied scientist and enterpriser Artyom Keydunov and Pavel Tiunov observed in their work . While at Statsbot , a data analytics startup the pair Centennial State - founded in 2016 , Keydunov and Tiunov often consulted with formation struggling to get their “ datum house , ” so to talk , in order .
Cubebegan as an receptive root task in 2019 offer what Keydunov describes as a “ universal semantic stratum ” for organizational data that can feed into database , business intelligence ( BI ) shaft , and even AI - powered chatbots . Now , five eld later , Keydunov and Tiunov have a veritable business organisation on their hands , having launched a subscription - establish serving built on Cube — Cube Cloud — that adds automated workflows and enterprise - focussed governance and deployment tooling .
“ There ’s no famine of data , ” Keydunov told TechCrunch . “ And the demand for data point continues to get among employees , partners and client , who are motivated by the theme that data - driven decisions run to better operational efficiency , enhanced customer satisfaction and militant advantage . Technologies like AI , political machine scholarship , the cyberspace of Things and blockchain are remold the information landscape and revolutionizing how organizations collect , outgrowth , and derive economic value from data . It ’s not only human who require data ; now machines need data too . ”
datum molding challenges aside , sketch suggest that comparatively few orgs are attain even base - level success derive note value from their data . A 2022 Gartnerpollof data analytics leader found that fewer than one-half believe their squad are effective in cater value to their employers . That ’s despite the fact that , accord to the same poll , company are drop an norm of over $ 5 million on data point management , governance and analytics initiatives .
So what to do ? For Keydunov and Tiunov , the resolution was to test and produce a platform that could service as a incorporated source of trueness for all a party ’s data and metrics .
“ Cube Cloud is a universal semantic level that is an autonomous , yet interoperable , part of the modern information stack that sits between your data source and data consumer , ” Keydunov state . “ The general semantic bed allows every data endpoint — whether it is BI tool , embedded analytics , or AI agents and chatbots — to do work with the same semantics and implicit in information . ”
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Companies use Cube Cloud to build that semantic layer and relate it to their various apps and public utility company , hire role - based access controls , data caching , single sign - on , and scale - up substructure as they require it . Enterprise - tier customers get access to consultants who can train their data engineers to exercise with Cube Cloud and offer keep on - need , as well as establish the initial Cube Cloud instance — either on Cube - own servers or on - premises — customized to the business .
“ Cube Cloud mechanically adjusts queries and interject the appropriate security setting — substance abuser or role details — to verify that only the appropriate user have access , ” adds Keydunov . “ And through the functioning insights in Cube , client can retrieve redundant queries or other opportunities for caching and pre - aggregating enquiry results , reduce the amount of compute that is demand . ”
Cube competes withAtScale , which also offers a semantic layer for data modeling and serving , and Dtb Labs ’ lately acquiredTransform . But Cube appear to be holding its own , with a customer base that spans over 200 Fortune 1000 brands and a user Qaeda approaching 5 million people , the business firm read .
Keydunov tell that the overt reference Cube labor has surpassed 10 million downloads , while Cube Cloud is now installed on around 90,000 server . Bookings are up 3x from 2023 to 2024 , while the average muckle size has grown 3x .
It ’s this succeeder that attracted young investment to the business , no doubtfulness . San Francisco - based Cube this hebdomad announce it rear $ 25 million in funding from backers , let in Databricks Ventures , Decibel , Bain Capital Ventures , Eniac Ventures and 645 Ventures . Bringing the 40 - employee startup ’s total raised to $ 48 million , the new Johnny Cash will be put toward support Cube ’s go - to - market and marketing activities and branch out Cube Cloud ’s potentiality , Keydunov said .
“ Our investor encouraged us to call forth fairness for support the expansion of our go - to - market squad so that we could take advantage of the huge upsurge in demand for AI and the semantic layer , ” Keydunov continue . “ We have find enterprise business organisation become more deliberate and thrifty in their evaluations , which can slow down the sales physical process a bit — but that gives us more time to bear witness our value over the competition . We are well - capitalized with our new round of funding and have plenty of track to produce the company to its next milestone . ”
