Semantic Extract structures unstructured data.

26 Feb

Below represents how Semantic Evolution can support users in automatically extracting target data from unstructured documents and converting it into actionable structured information.

UNSTRUCTURED DATA

Semantic Extract takes in unstructured documents across financial statements, public and private accounting, insurance, credit, contracts, corporate actions, and more.

INGESTION

Ingestion can be done via multiple methods.

PARSING AND DATA CAPTURING

Semantic Extract utilizes AI Parsing for document segmentation and documents layout detection to structure the data in documents. It empowers clients to define bespoke models, refine & validate data capturing with Intelligent Business Rules Engine, enabling end-to-end automation.

DELIVERY

Deliver structured data via multiple methods.

STRUCTURED DATA

The structured data converted into usable formats.

ADD-ONS

Workflow - Customizable workflow for exception management.
QA Expected Data - The data extraction process can be tracked and conflicts can be easily identified in one window.
Test Set - Intuitive regression test set allows users to track metadata changes and their effects.
User Roles - Allows administrators to control the functionality available to users when calibrating the parser.

FULL AUDIT TRAIL

The system produces a Full Audit Trail allowing you to visualize and identify where the data is extracted from the source document. It enables tracking the effects of model build and metadata enrichment.

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About Semantic Evolution

We are a fast-growing technology firm with offices in London and Manhattan, dealing with great clients across the globe. Our team is leading the way in artificial intelligence focused on intelligent data extraction. Our unique scientific approach, industry leadership and total transparency bring intelligence to our client’s data.

Semantic Extract JobUser Driven ModelAutomationStructured DataUnstructured DataFull Audit TrailIntelligent Business Rules EnginePDFExcelAPIXMLJSONSFTPEmail ConnectorHTMLScanAI Parsing

Semantic Evolution

Leading the way in artificial intelligence, Semantic Evolution focuses on Intelligent Data Extraction.

Many businesses are required to interrogate, extract and organize data as core processes. About 80% of this data is unstructured, meaning it is buried in documents and hard to access.

Semantic Evolution helps firms address all parsing needs and transforms data into actionable information. A proven concept, the technology has been adopted by firms globally.

By using Semantic Evolution to automate the data extraction process, companies have experienced efficiency gains, data coverage improvements and reduction in processing times. Semantic Evolution provides opportunities to improve data quality, free up resources and save costs to deliver a rapid ROI for any industry.

http://www.semantic-evolution.com