- Growth focused acquisition will enhance nybl’s R&D output with Nubila founder set to join nybl’s team
Dubai-UAE.: – nybl, the science-based artificial intelligence (AI) pioneer, 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.
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.”
nybl’s unique science-based AI solutions are already at the forefront of deep technology across the Gulf Cooperation Council (GCC) region. The platform is currently used across various sectors such as Oil & Gas (O&G), healthcare and security in a growing list of countries including the UAE, Kuwait, the Kingdom of Saudi Arabia, India, and The United States of America.
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.
-Ends-
About nybl
nybl is a homegrown GCC company with global reach at the forefront of science-based artificial intelligence (AI) solutions. It has developed a unique, end-to-end AI ecosystem. nybl’s platform harnesses the power of science-based behavior models and machine learning to provide clearer and deeper understanding without limitation to industry or application. It is a technology that can transform business efficiencies and expenditures by providing actionable intelligence and timely predictions.
nybl is working to democratize AI, by evolving an ecosystem that enables anyone with subject matter expertise to deploy their solution using codeless configuration on nybl’s platform to derive actionable intelligence from their data to predict failure, reduce cost or improve operations.
About Nubila
NubilaML is a visual data mining and machine learning platform that is intended to be used by everyone (computer scientist, engineers, developers and business domain experts) without a single line of code. It easily solves complex analytical problems by automating the lifecycle of predictive applications and allowing users to choose and compare multiple supervised and unsupervised machine learning algorithms that solves clustering, classification, and optimization problems. In addition, users can run state of the art deep neural networks on optimized analytics engine that is intended for big data processing. With this platform, users can explore multiple approaches quickly to spot trends and find the optimal solution.
About Marlon de Jesús González
A chemical engineer by background, Marlon holds over 24 years experiences in the oil and gas industry in Mexico and Venezuela. As well as reservoir engineering and well productivity Marlon specializes in decision scenario optimization, economic evaluation, risk analysis, business intelligence and analytical software development. In 2017 Marlon took Nubila through Mexico’s first high impact business incubation program with StartupLab Villahermosa and has developed the company’s profile and capabilities ever since. As well as founding Nubila, Marlon is the co-founder of impalajobs.com, an employment website focused on the energy and technology industry in Mexico.
For Press enquiries, contact:
Sneha Nair
snair@apcoworldwide.com
+971 55 408 7954
© Press Release 2021
Disclaimer: The contents of this press release was provided from an external third party provider. This website is not responsible for, and does not control, such external content. This content is provided on an “as is” and “as available” basis and has not been edited in any way. Neither this website nor our affiliates guarantee the accuracy of or endorse the views or opinions expressed in this press release.
The press release is provided for informational purposes only. The content does not provide tax, legal or investment advice or opinion regarding the suitability, value or profitability of any particular security, portfolio or investment strategy. Neither this website nor our affiliates shall be liable for any errors or inaccuracies in the content, or for any actions taken by you in reliance thereon. You expressly agree that your use of the information within this article is at your sole risk.
To the fullest extent permitted by applicable law, this website, its parent company, its subsidiaries, its affiliates and the respective shareholders, directors, officers, employees, agents, advertisers, content providers and licensors will not be liable (jointly or severally) to you for any direct, indirect, consequential, special, incidental, punitive or exemplary damages, including without limitation, lost profits, lost savings and lost revenues, whether in negligence, tort, contract or any other theory of liability, even if the parties have been advised of the possibility or could have foreseen any such damages.
