NLX achieves AWS Generative AI Competency

This competency recognizes NLX for its flexibility and sophistication, enabling enterprises to easily leverage industry-leading generative AI capabilities at scale.

Andrei Papancea


NLX today announces it is among the launch partners for the new Amazon Web Services (AWS) Generative AI Competency—an AWS Specialization that helps AWS customers more quickly adopt generative AI solutions and strategically position themselves for the future. 

At a time when companies across industries are looking to AI to enhance and drive their business, it is essential that the solutions on the market offer flexibility, scalability and control to accelerate implementation, streamline costs, and reduce reputational risk.

“We have seen a huge influx in demand to leverage this technology from our enterprise customers and NLX has all of the guardrails and practical guidance in place to help them innovate,” said Andrei Papancea, CEO and Chief Product Officer of NLX. “NLX is excited to be recognized as a AWS Generative AI Competency partner and join this launch alongside other industry leaders.”

AWS Generative AI Competency Partners provide a full range of services, tools, and infrastructure—with tailored solutions in areas like security, applications, and integrations to give customers flexibility and choice across models and technologies.

This is the third AWS Competency for NLX, which is part of the Amazon Partner Network (APN). NLX also holds the Travel and Hospitality ISV Competency and the Conversational AI Software Competency. 

Visit the NLX Partner Page.

Andrei Papancea

Andrei is our CEO and swiss-army knife for all things natural language-related.

He built the Natural Language Understanding platform for American Express, processing millions of conversations across AmEx’s main servicing channels.

As Director of Engineering, he deployed AWS across the business units of Argo Group, a publicly traded US company, and successfully passed the implementation through a technical audit (30+ AWS accounts managed).

He teaches graduate lectures on Cloud Computing and Big Data at Columbia University.

He holds a M.S. in Computer Science from Columbia University.