Enterprise Search in 2025
What's next for search in the enterprise.
Companies who have made the switch to fusion.
Several search apps querying multiple data sources across disparate silos. And you still won't find what you want.
All of your data sources available from one interface enriched with context and personalized relevancy. So you find what you need the first time.
Bad search is costing you money.
Employees waste time trying to find the information they need to do their jobs. Customers waste time trying to get support or help - or just give up.
With Fusion, users find what they want quickly and easily.
Employees have access to all of the data and documents they need to take the next best action. Customers get answers - and stay happy.
Machine learning for added intelligence.
AI technology auto-classifies documents, clusters topics, understands intent, and performs other ML approaches for broader, more diverse, and more precise answers.
“With Fusion’s out-of-the-box capabilities, we skipped months in our dev cycle so we could focus our team where they would have the most impact. We cut our licensing costs by 50% and improved application usability. The Lucidworks professional services team amplified our success even further. We’re all Fusion from here on out!"
Built for Enterprise Search
Over 100 Connectors
Index over 500 popular data formats data sources including filesystems, databases, and the cloud or ingest data from proprietary systems with our connector framework.
Natural Language Processing
Parse and process plain English queries so users don’t have to learn complex operators or functions.
Security from App to Document
Your security model enforced end-to-end across application, collection, document, and cell with redaction of sensitive information plugging right into your Kerberos, Active Directory, or other system.
Point-and-click control over relevancy with simulated preview of how search results will be scored before committing them to production - and of course rules for boost and blocks as well.
Aggregate user behavior like queries, add-to-cart, and purchase activity to give every user a customized search experience that is continuously fine-tuned with the actions and queries of similar users.
Effortlessly scale to millions of documents and users across thousands of nodes with hundreds of queries per second and bulletproof uptime.