NeuML builds open-source, easy-to-use, semantic workflow applications. We bridge the gap between research and production.
We also provide the following services around our stack to help jump start your machine learning journey. Contact us to learn more.
txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. txtai supports indexing text snippets, documents, audio, images and video. Pipelines and workflows enable transforming data with machine-learning models. NeuML uses txtai and/or the concepts behind it to power all of our Natural Language Processing (NLP) applications.
List of applications powered by txtai:
paperai is a semantic search and workflow application for medical/scientific papers. Applications range from semantic search indexes that find matches for medical/scientific queries to full-fledged reporting applications powered by machine learning.
paperai and/or NeuML has been recognized in the following articles:
Semantic search is a new category of search built on recent advances in Natural Language Processing (NLP). Large-scale general language models have rapidly pushed the field forward in ways unimaginable only a few years ago. This article gives a brief overview of semantic search and how it contrasts with keyword search.
David Mezzetti founded NeuML to apply machine learning to solve everyday problems. He is leading the way in building open-source, easy-to-use, semantic workflow applications.
Dave previously co-founded and built Data Works from the ground up into a 50+ person well-respected software services company. In 2019, Data Works was acquired by E3/Sentinel.
Dave is also an active Medium contributor, his articles have been published with Towards Data Science and Better Programming.