Vendor Description

CoreFiling is a software and services company with global reach that helps financial institutions, enterprises, and regulators to seamlessly meet the challenges of regulatory and business reporting, data modelling, and unlocking the value of regulatory data.

CoreFiling is trusted by the world’s regulators including national competent authorities, filers, and enterprises. Customers include major banks, the “Big Four” accounting firms and more than 200 organisations in 26 countries.

Its software has been used to process millions of corporate tax and accounts filings in the UK since 2011.  Most of the world’s heavily used taxonomies were developed using CoreFiling tools.

Vendor Capabilities

In addition to iXBRL reporting, CoreFiling provides a number of capabilities, including:

CoreFiling support all CRD IV reporting modules under COREP and FINREP and provide solutions to both regulators and filers alike, offering accurate software, appropriate partners and proven enabling services.

CoreFiling supports Pillar 3 regulatory compliance to a comprehensive range of Regulatory Authorities with extremely efficient taxonomy.  This supplier also offers a very high-standard of Solvency II Pillar 3 functional support. Read more…


by CoreFiling

Key Features

Product Description

CoreFiling are the founders of iXBRL, so it’s no surprise that they offer a feature-rich iXBRL tagger. This product also named “Seahorse” shouldn’t be confused with the XBRL validation and mapping tool by the same name, presented in our Solvency II category.

CoreFiling’s Seahorse iXBRL tagger can accommodate any taxonomy and is already being widely adopted for ESMA’s ESEF and UK-SEF.

As a browser-based SaaS solution, Seahorse leverages Machine Learning to streamline the tagging process.

The application can consume reports in a range of formats, including Word, PDF and InDesign.  It offers a fully visual, modern interface. Most of the processing is performed on the face of the document.

There are two ways to tag a document.  The first way is to simply select a range of text and apply a tag. When text is selected, Seahorse conveniently produces a set of suggested tags, along with a confidence score for each suggestion.

Applying a tag is rarely more than 2 or 3 clicks away, and once tagged Seahorse will highlight the text in a different colour, so that it is easy to see, at a glance, content that has or has not been tagged.

The second way to tag facts is to use Seahorse’s table tagger tool.  Users simply draw a border around financial statements and the Auto Tag feature, making use of Machine Learning, returns suggestions, again with confidence factors to help you along.

Seahorse will identify current and prior year dimensions in a report, as well as the number formats, number scaling, and currencies, ensuring appropriate tags are applied to each item in the statement.

Bulk review” is another fantastic feature. Selecting this will instruct Seahorse to loop through all of the lines in a selected table and prepare suggestions for each.  Users are presented with a dialog screen that offers a complete overview of the financial statement and suggests which tags and sign rules to apply.

The software also provides a detailed Concept Browser.  This offers a structured and searchable list per the chosen taxonomy and allows the user to view the documentation for any particular concept.

Seahorse even offers a range of extended capabilities to modify and customise the concepts and their relationships, and the interface for doing so is as intuitive as the rest of the software.

Ensuring data accuracy is obviously integral to the process. Seahorse also provides full transparency of the underlying calculation relations and drilling into these is also possible.

When it comes to generating the output file, Seahorse will automatically parse and evaluate the taxonomy rules.  This includes the taxonomy rules as well as conformance rules, such as those defined within the ESEF reporting manual.

Once all validation errors have been cleared, the final output can be created and placed into a zip folder, which includes the fully tagged and visual XHTML document, as well as the individual iXBRL files.

CoreFilling’s Seahorse is a highly capable and easy-to-use browser-based tool loaded with rich features. The Machine Learning-powered auto-tagging and the highly accurate bulk review features are real time savers and offers their customers so much confidence in the accuracy of their reports.

Product Snapshots

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