About a-team Marketing Services

A-Team Insight Blogs

Duco Unveils AI-Powered Reconciliation Product for Unstructured Data

Subscribe to our newsletter

Duco, a data management automation specialist and recent A-Team Group RegTech Insight Awards winner, has launched an artificial intelligence-powered end-to-end reconciliation capability for unstructured data.

The Adaptive Intelligent Document Processing product will enable financial institutions to automate the extraction of unstructured data for ingestion into their systems. The London-based company said this will let market participants automate a choke-point that is often solved through error-prone manual processes.

Duco’s AI can be trained on clients’ specific documents, learning how to interpret layout and text in order to replicate data gathering procedures with ever-greater accuracy. It will work within Duco’s SaaS-based, no-code platform.

The company won the award for Best Transaction Reporting Solution in A-Team Group’s RegTech Insight Awards Europe 2024 in May.

Managing unstructured data has become a key goal of capital markets participants as they take on new use cases, such as private market access and sustainability reporting. These domains are largely built on datasets that lack the order of reference, pricing and other data formats with which it must be amalgamated in their systems.

“Our integrated platform strategy will unlock significant value for our clients,” said Duco chief executive Michael Chin. “We’re solving a huge problem for the industry, one that clients have repeatedly told us lacks a robust and efficient solution on the market. They can now ingest, transform, normalise, enrich and reconcile structured and unstructured data in Duco, automating data processing throughout its lifecycle.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Strategies, tools and techniques to extract value from unstructured data

Date: 12 September 2024 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Unstructured data is voluminous, unwieldy and difficult to store and manage. For capital markets participants, it is also key to generating business insight, making better-informed decisions and delivering both internal and external value. Solving this dichotomy can be a...

BLOG

The Challenge of Data Integration in a Multiple Data Source World

By Inesa Smigola, Head of Presales, EMEA and APAC at Xceptor. Financial institutions have a growing data challenge – ever increasing data volumes, much of it unstructured, multiple data sources, and hugely varied data formats and structures. Across this is the additional challenge of inconsistent data quality according to data source and format– an Excel...

EVENT

AI in Capital Markets Summit London

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.

GUIDE

Trading Regulations Handbook 2022

Welcome to the third edition of A-Team Group’s Trading Regulations Handbook, a publication designed to help you gain a full understanding of regulations that have an impact on your trading operations, data and technology. The handbook provides details of each regulation and its requirements, as well as ‘at-a-glance’ summaries, regulatory timelines and compliance deadlines, and...