Natural Language Processing (NLP) is at the core of many modern enterprise data processing workflows, from complex data processes to customer service chatbots. However, NLP systems are not one-size-fits-all, and the development and deployment of bespoke NLP systems require the niche and expensive help of programmers with expertise in machine learning and semantic syntax.
Deepset provides an open-source API-driven framework called Haystack for the quick and efficient development of production-ready NLP systems. The company's goal is to make modern NLP as easy as possible to apply in a practical and scalable way, and states major use cases of its API for automated data analysis, customer satisfaction, fraud monitoring, and regulatory actions.
Whilst NLP has been implemented by many enterprises such as Amazon AWS and Microsoft, options for companies without dedicated AI experts have been limited, making Deepset's open-source approach highly beneficial to many industries. Lately, the company has introduced custom AI agent solution architecture, which will enable companies to deploy AI agents across cloud and on-premise environments.
Steph
Company Specialist at Welcome to the Jungle
