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

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.

Getting started with semantic workflows

Semantic workflows transform and find data driven by user intent. Workflows combine machine learning models together to create powerful transformation and processing functions. This article shows how to build workflows with txtai.

Next-generation conversational search

txtchat is a framework for building conversational search and workflows. A set of intelligent agents are available to integrate with messaging platforms. This article gives an introduction to how txtchat works.

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.