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Fusion applies machine learning at the moment of data ingest to add deeper understanding and context to every data set.

Trusted by Some of the World's Largest Organizations

Data Ingest & Preparation

Fusion applies the power of machine learning and AI at ingest time to enrich the index with clustering and classification, anomaly detection, entity recognition, and sentiment analysis.

Better Business Insights

Better Business Insights

Make better decisions with access to all your data, fully enriched, and presented in complete context.

Complete Data Portability

Complete Data Portability

Fusion stores all your data and the index in an open platform to avoid vendor lock-in and eliminate hurdles to access.

Clustering vs. Classification – How Are They Different?

Fusion leverages classification algorithms to categorize users and data based upon provided training data or documents fields, as well as clustering algorithms to discover new insights from your raw user signals and documents. Both can be used to create additional features for query interpretation and matching, relevancy boosting, customer segmentation, and search navigation.

Artificial Intelligence

Fusion applies artificial intelligence methods to your data. Machine learning algorithms for document classification, clustering, named entity recognition (NER), and topic detection prepare data records for queries and proactive recommendations.

Fusion Server Diagrams 5

Clustering

Clustering algorithms group users into various demographic categories based on their behavior. Then machine learning can boost the most relevant documents for users within each cluster.

More about Clustering

Fusion Server Diagrams 4

Document Classification

Classifiers augment incoming documents with additional fields that can be used for future queries and suggestions.

More on Clustering Vs Classification

Named Entity Recognition

Named Entity Recognition

Named Entity Recognition (NER) enables extracting known terms, phrases, people, places, and other entities from content and queries allowing much more accurate query interpretation and document matching. With semantic phrases preserved and matched, it allows richer search experiences.

Speech Tagging

Part of Speech Tagging

Part of Speech Tagging (POS) helps with “word sense disambiguation.” So when the word “present” is tagged as a noun, subsequent search results omit instances where “present” is a verb for public speaking.

Explore the Lucidworks Fusion Platform

Lucidworks Fusion is the data discovery platform that gives users contextual, personally relevant search results and proactive recommendations with artificial intelligence that augments their human intelligence. Millions of users can discover insights at the moment they have a question, without any training, and even across billions of documents or records.

Data Ingest & Prep Server & Storage Intent Prediction App Creation
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Lucidworks Fusion Pricing

Lucidworks offers pricing across three product tiers, either self-hosted by your team or as a Lucidworks managed service in the cloud with list prices calibrated to expected usage levels.

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Fusion 5.1 Now Available!

Our latest release extends Fusion’s cloud-native, microservices architecture to streamline development, simplify operations, and supercharge data science.

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What will you build with Fusion?

Ready to create amazing AI-powered apps? Contact us today to learn how Fusion can help you and our team build search and data discovery applications that dazzle your customers and empower your employees.

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