With the launch of its end-to-end reconciliation capability for unstructured data, Duco reaches the first major milestone in its integration plan following the acquisition of Intelligent Document Processing (IDP) vendor Metamaze in February this year.
Duco, an enterprise platform for data automation, announced on July 8, 2024, that it has launched its end-to-end reconciliation capability for unstructured data. With this, Duco’s clients can now ingest, transform, normalise, enrich and reconcile structured and unstructured data in Duco’s platform, automating data processing across the entire lifecycle.
Duco made waves in the Intelligent Document Processing space when it acquired Belgian IDP vendor Metamaze in February of this year to create a one-stop AI platform for all types of data from all types of documents. Later in May, Metamaze announced that it was now officially known as Duco adaptive IDP.
Michael Chin, Duco’s CEO, commented: “I am very excited about reaching this first major milestone in our integration plan following the acquisition of Adaptive Intelligent Document Processing innovator Metamaze in February this year. Our integrated platform strategy will unlock significant value for our clients. 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. They also benefit from Duco’s true no-code, SaaS advantage, as well as our security credentials. Our clients have been very enthusiastic about this new offering, with some already signed-up to automate complex reconciliation use cases and who are going live this summer.”
Headquartered in London, Duco is an enterprise data automation platform that provides business users with an intuitive platform to automate the front-to-back processing of all structured and unstructured data throughout its lifecycle, eliminating the manual work involved in data extraction and classification, to data preparation, validation, reconciliation, exception management and publication to downstream platforms.
You can find the full press release here.
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