ScaleText is a service for automated content analysis, document section indexing and semantic queries. Using advanced machine learning algorithms, ScaleText implements state-of-the-art workflows for format conversions, content segmentation, categorization, entity detection and semantic vector modeling. The resulting metadata is indexed as a database service, allowing fast document inserts, similarity queries and clustering requests that scale to hundreds of millions of documents.
Target Users
Enterprises
Researchers
User Benefits
For organizations & businesses:
Search and group similar content, using adaptive semantic models
Route documents based on automatically discovered metadata and themes
Avoid manual tagging errors and reduce annotation costs
Base your analytics on content-driven insights
Use domain-tuned analysis pipelines to automate your workflows
For Data scientists & ML consultants:
Employ a robust and scalable platform to analyze, index and search documents
Assemble plug-and-play pipelines to build cutting edge NLP solutions
Integrate efficiently using a local installation with clean REST and Python APIs
Enhance pipelines with own custom machine learning models and incremental training
Avoid the R&D costs of building and maintaining a scalable semantic engine
