Deepset Secures $14 Million to Expand Open Source NLP Framework
Deepset raises a $14 million Series A to grow its open source natural language processing framework, Haystack, and launch a new cloud platform.
Deepset raises $14 million in a Series A funding round led by GV to support the growth of its open source natural language processing framework, Haystack. The investment arrives as the NLP market experiences rapid expansion, with a majority of tech leaders reporting significant budget increases for text-parsing AI technologies. Alongside this funding, the startup launches Deepset Cloud, a new subscription product designed to help organizations build NLP-powered software more easily.
Founded in 2018, Deepset creates tools that allow developers to build custom pipelines for specific NLP applications. The Haystack framework powers search engines that answer complex questions, sift through large volumes of documents, and find granular information on internal wikis. The underlying technology stems from the founders' previous experience building AI tools for large organizations, where they recognized the need for scalable, API-driven NLP building blocks.
Companies across various industries currently use Haystack to automate complex workflows and improve information retrieval. Financial services firms rely on the framework to automate risk management by answering specific business queries, while telecommunications companies use it to power virtual assistants that recommend documents to field technicians. Deepset aims to use the new capital to enable even more product divisions and developers to build modern NLP applications quickly and successfully.