Discover the latest improvements and new features
What's New
The upgrade of Sintelix to Version 8 and its latest release are packed with new features and enhancements, giving you the power to unlock deeper insights with AI-driven analytics and decision-ready visualisations.
Powerful Data Ingestion
Seamlessly integrate complex structured and unstructured data sets with our flexible load and AI-enhanced ingestion capabilities.
AI-Powered Insights
Transform your data into actionable intelligence with integrated AI Services, advanced question answering, and powerful visual insights.
Load Documents and Data
- Empowered structured data ingestion
- Simplified the load process
- Enhanced entity extraction using Deep Learning supporting multiple language pipelines
- Improved loading of Geospatial files
- Added forensic analysis tool
- Refined the harvester
Visualise and Analyse
- Integrated AI Services
- Added Dynamic Icons to represent entities on maps and graphs
- Improved Maps (Heat Map, Custom Maps)
- Enhanced Question Answering with GPU capabilities
- Network Tables now have nested neighbours and powerful map filtering
- Upgraded Network Timelines to provide greater functionality
- Improved Network Graph visualisation options
- Added Network Link Aggregation expansion
Load Documents and Data
Simplified Load Process
The new Load tab provides a simpler, more intuitive workflow for loading documents and structured data, offering several key improvements:
- Dedicated tabs for Load Documents and Load Structured Data for a cleaner, more focused experience.
- Clear visibility of the Ingestion and Ontology configurations that will be applied during the load process.
- Direct loading to a Network, with no need to create a Collection first.
- Monitoring of load tasks and history across the entire Project.
Full Support for Structured and Unstructured Data
Loading structured and unstructured data has been reimagined to deliver a simpler load process with greater clarity and control.
Structured Data Formats
Load Structured Data supports:
- Excel
- Delimited
- Fixed width
- JSON files, and
- Databases.
Structured Data Wizard
The powerful
- transform data using a range of functions, for example, combining fields, formatting dates, etc.
- filter data being imported, either using a fixed value or a parameter value entered at the time of importing
- define the Document content including assigning source fields to properties and tags. Source fields published to the document Content section will also be processed using unstructured ingestion.
- create entity nodes from source fields, and
- create links between nodes.
Enhanced Entity Extraction
Benefit from advancements in Large Language Models and Deep Learning applying multiple layers of processing to extract progressively higher level features from data.
Sintelix’s enhanced mode Entity Extraction uses the processing power of GPUs and advancements in AI to achieve more precise and accurate entity extraction (also called named entity recognition).
Multilingual
Enhanced entity extraction can be with a range of languages. Languages available include English, Chinese, Arabic, Farsi, Russian, Spanish, German, French, Lithuanian, Latvian and Thai at world-leading accuracy.
Geospatial Files
Sintelix now supports geospatial files, enabling routes, areas, and images to be captured as geo‑data nodes and visualised directly within Maps.
Geospatial File Formats
Geospatial Supported Formats
- KMZ/KML
- geoJSON
- geoTIFF
- SHP
- GPX.
Visualise and Analyse Data
Integrated AI
With integrated AI services, you can now summarise and compare documents, translate content into English, and ask questions to extract insights.
Dynamic Icons
Icons can now be dynamically assigned based on node feature values, enhancing insight visibility across Network Graphs, Timelines, and Maps.
Map View
Leverage the powerful map capabilities to explore large datasets with heat maps, filter network tables to areas, and visualise geospatial data, like geoTIFFs and paths.
Integrate your own map server for better maps when working offline.