nybl announces its acquisition of Nubila

nybl today announced its acquisition of Nubila, a visual data mining and machine learning (ML) platform in a deal that will see Nubila’s founder, Marlon de Jesús González, join nybl’s R&D team and focus on the company’s growth.

nybl CEO Noor Alnahhas

The acquisition marks the latest development in nybl’s democratization of AI by building a comprehensive end-to-end AI ecosystem that enables anyone to connect to and analyze vast data sets in real-time without writing any code or relying on historical training data.

Speaking of the acquisition, nybl CEO Noor Alnahhas, said: “The technology we are acquiring with Nubila is the next generation of machine learning. It will help turbocharge our ambitions to fully democratize AI in the region and beyond; we are delighted to be bringing it to market.”

Alnahhas added: “The world has reached a critical phase of AI development. Much of what we consider as artificial intelligence today is simply the building blocks for the development of the future of AI.

“It’s essential to distinguish between the fundamentals we have had at our disposal for decades from the advanced AI that can affect a quantum leap for the way we live and work. With Nubila at our side we are setting out to achieve an ecosystem that eliminates the need for any training in coding or historical data to deploy AI applications.”

For his part, Nubila Founder, Marlon de Jesús González, said: “The integration of Nubila’s technology into nybl’s platform will allow anyone to analyze enormous data sets, in real-time and without the need for a data science background or deep knowledge of coding.

“We share nybl’s aim to democratize and simplify the world of AI for all, and I’m excited about joining the nybl team to help realize its ambitions.”

Initially developed to optimize workflows, Nubila solves complex analytical problems without the need to introduce coding. The acquisition will allow nybl to automate its processes and enable users to manage the entire AI development journey from analysis to deployment.