Sinequa 2026: Benefits, Features & Pricing

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On this page

Overview
Pricing and Plans
Features
Integrations
User Reviews

Overview

Sinequa

4.0

(1)

Pricing

Pricing available upon request

About Sinequa

Sinequa is a cloud-based enterprise search platform, which helps large organizations across healthcare, finance, manufacturing and government sectors discover and collect relevant information and insights from a variety of sources.

The platform provides a library of connectors and built-in converters to handle content in different formats. It helps professionals determine and extract information from unstructured data using multiple text mining, auto-categorization or tagging capabilities. Sinequa’s cognitive search platform lets data scientists manage issues about multiple languages, high data volume or update frequencies. Its administrative interface allows users to configure settings based on business profiles, sponsored links, the relevance of data sources and more.

Sinequa offers integration with Microsoft Azure, Microsoft Teams and various other third-party platforms. Pricing is available on request and support is offered via phone and documentation.

Sinequa Screenshots

Sinequa Pricing and Plans

Starting price: Connect with an advisor for pricing

Free Trial

Free Version

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Sinequa Features

Popular features found in Data Mining
Activity Dashboard
Data Capture and Transfer
Data Connectors
Data Extraction
Data Import/Export
Data Visualization
Machine Learning
Predictive Analytics
Predictive Modeling
Statistical Analysis
Text Mining
Visual Analytics
More features of Sinequa
AI/Machine Learning
Analytics
API
Augmented Analytics
Behavior Tracking
Categorization/Grouping
Contextual Search
Data Aggregation
Data Blending
Data Dictionary Management
Demand Forecasting
For Healthcare
Full Text Search
Generative AI
Indexing
Language Detection
Modeling & Simulation
Multiple Data Sources
Natural Language Processing
Natural Language Search
No-Code
Reporting/Analytics
Search/Filter
Self Service Data Preparation
Sensitive Data Identification
Sentiment Analysis
Tagging
Text Analysis
Topic Clustering
Trend Analysis