One of the biggest challenges companies face is organizing all the data they collect, and – expanding – the extraction of ideas from that data. According to According to Gartner 2018, 87% of organizations have low business intelligence and mature maturity. The situation has not changed much in recent years, even as companies invest large amounts of capital in data efforts. A 2021 Databricks and MIT found that only 13% of organizations provide their data strategy.
Wojciech Danilo and Sylwia Brodacka are well versed in wrestling. The founders Ensowrote a series of feature films that help them align with the components – the data mining method.
“On the surface, it may seem that the data processing needs of most businesses – such as the economic, manufacturing or oil and gas sectors – are completely different from the needs of the visual impact industry. The reality is the opposite,” Danilo said. said TechCrunch via email. [P]Hotorealistic Soil Simulation requires … a table containing data of objects (such as their color, speed or size) and modifying table data between animation lines in accordance with physical rules such as gravity or object collision rules between and the forces of attraction … [T]desks can contain millions of records per unit, which requires a very efficient calculator. “
Danilo and Brodacka had the idea to use their visual effects tools, which were the basic data structure, other components including the design of credit risk points. This, in turn, led to the launch of Enso, data analysis and visual startup that emerged today with $ 16.5 million in funding from SignalFire, Khosla Ventures, Day One Ventures, Decacorn Capital, Y Combinator, Samsung Next, Harvard’s Endowment, West Coast Efforts, New Breeding and more.
Danilo said the capital is being upgraded to the Enso Cloud platform with better documentation and usability, increasing the number of data processing components in the said site and the release of a software service product called Enso Cloud, which provides fully managed, which is scheduled to begin in Q1 2023. “We have developed several successful pilots in banks and insurance companies,” Daniel said. “This waxay investment will allow us to double bring Enso Cloud to market early next year. “
Analyzing quantitative data
Danilo is a series entrepreneur, having launched startup including visual effects tools for creating a Flowbox platform and a photography company Vote. He worked with Brodacka in Flowbox, where Brodacka was responsible for the design and development of photo editing libraries for producers and graphics cards.
Together, Danilo and Brodacka created Enso’s first product: the popular open source project Enso. A visual programming tool consisting of data processing components and output results, Enso is designed to help build data flow, dashboards and apps by analyzing historical and living data, suggesting possible next steps, presenting relevant examples and even controlling other applications.
While the concept may look similar to existing visual devices such as Tableau Prep, Alteryx, Knime or Databriks, Danilo insists that Enso is different – and not a “toy” trade secret.
“[I]In fact, Enso is changing large parts of the processing data. Unlike visual data editing software, [There’s more to it than a] nice interface with solid, compact and easily extended composite components, ”said Danilo. “Business users and data analysts are able to use Enso to perform self-service data analytics and automation process, while data scientists and developers can easily scale to support more usage cases tailored to their needs .
Other obvious features of Enso, according to Danilo, include data management. Enso allows pipelines to be reviewed, configured and used using standard computer science tools. In addition to this, Enso can help to visualize errors when they occur and even prevent certain errors from occurring, for example by preventing users from exceeding data values.
One company engaged in Enso pilot project used the site to find out the exchange rate and provide it directly to the affected customers with a refund. This involved scraping data from a variety of different sources, including government websites without APIs, and reconciling data even in the absence of times.
Business users bring to the table expert experience, but due to lack of technical skills, they need to constantly ask developers for help, therefore, they wait for results even a few days after any such request … We want Enso to be the standard data platform for future work, ”Danilo said. However, if you want to run more advanced data, such as logs, medical images, web browsers or traffic data on your site, Excel is not enough. We want Enso to be the solution. ”
Building the future
As data analysts and scientists are immersed in reactive work such as updating print sheets whenever data collection changes, it is Danilo’s hope that Enso will eventually reduce the constraints on multiple data collection methods. It has business incentives, of course – Enso Focus next year will build recurring revenue with Enso Cloud. But as someone who has worked with data collection and pipeline for most of his career, he said he hopes to make the stadium less intimidating for the average person.
“I believe it is not possible to provide a device for this site that is not based on a powerful and flexible engine. That is why Enso, unlike any other startup on this site, did not just create a good interface with complex parts of data systems, ”Danilo said. “Instead, we started with construction [a] in the language of data processing and now, we are focusing on building a top-level user-friendly GUI. “
Overall, San Francisco-based Enso, with 20 employees, raised $ 17.5 million in capital. The company is actively recruiting.