Berlin-based no-code data platform Y42 has announced the close of its Series A funding round at $31 million. Bringing their own unique approach to the age-old problem of data interoperability, Y42 is seeking to allow any company the ability to become a data company, with any employee a data analyst. The new funding is expected to help the company continue the development of the platform, as well as broaden the customer base and up the staff numbers. The company’s Series A arrives just seven months since their seed round, bringing the total to $34 million to date.
Following a series of stints in startups and data consulting, and seeing them encounter the same data roadblocks time and time again, Y42 founder Hung Dang decided that enough was enough and that it was time he took his own swing at the problem.
It’s not too difficult to see wherein lies the problem; an all too common experience faced by many a company is a patchwork of disjunct tech services, often maintained by external consultants, at a premium, that often don’t talk to each other. The bigger players have the resources and cash to stitch these patches together, while startups often rely on an ever-increasing collection of spreadsheets.
To solve this hodgepodge, Y42 works with a four-pronged attack.
Integrate: Y42 already has over 100 connectors for apps and databases including Airtable, Zendesk, Shopify, and YouTube analytics,
Model: Use a no-code method or SQL to prepare data for analysis and automation
Orchestrate: Y42 offers users a method to manage and author end-to-end workflows
Visualise: The company offers its own data visualisation tool or can integrate Tableau, Data Studio, Looker, or Power BI
“Every business leader today knows they need to extract more value from their data, but the data talent to adopt and maintain a modern stack is scarce; demand for data engineers is growing 50% annually. Y42 unlocks this bottleneck and democratises access to data tools beyond a select few. In that, they are creating a new category.” concludes Atomico partner Irina Haivas.