NeuML - Applying machine learning to solve everyday problems

Custom Semantic Applications Build custom semantic applications with the txtai stack
Model Development Create AI, Machine Learning and/or NLP models that excel in industry-specific domains
Advisory and Strategy Support Leverage our expertise to plan your data and AI strategy

Cloud-native Workflows Scalable NLP workflows for semantic search, summarization, translation and more
AI-driven Literature Review Automate reviews of large-scale unstructured medical, scientific and research literature
Media Analytics Sentiment analysis, event discovery and trend detection

Applications

txtai

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 - Semantic search and workflows for medical/scientific papers
codequestion - Semantic search for developers
tldrstory - Semantic search for headlines and story text
neuspo - Fact-driven, real-time sports event and news site

paperai

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:

Articles

2022 Year in Review

NeuML builds open-source, easy-to-use, semantic workflow applications. We also provide consulting services around our open-source stack. This article recaps progress made in 2022 and looks ahead to 2023.

Getting started with semantic search

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.

Run machine-learning workflows to transform data

txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. This article covers methods to vectorize data, machine-learning pipelines and workflows.

What's new in txtai 5.0

txtai 5.0 brings a number of major feature enhancements. The two main components added were semantic graphs and external integrations. This article covers all the changes.

Meet the team

David Mezzetti - Founder/CEO

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.

Applying machine learning to solve everyday problems.