This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 850053.
The aim of the omni:us project is to disrupt the insurance industry with a highly scalable, B2B, SaaS platform to automate the processing of insurance claims within the business segment of Insurance Claims & Policy Management.
omni:us is an AI-based software for automated document processing, which provides classification, extraction and mapping. It is the only system which combines computer vision (OCR), handwritten text recognition (HTR) and natural language processing (NLP) to deliver market leading extraction results and quality.
To address the problem, we plan to develop a B2B SaaS solution that will:
omni:us will provide insurance enterprises with automated document processing software to reduce the cost and increase the efficiency, speed and quality of data extraction and archiving compared to existing manual and digital method providing:
85-95% faster processing than manual document processing.
85%-95% of processed documents need no further quality assurance.
Up to 90% of cost savings per document compared to alternative methods.
State-of-the-art user interface & seamless integration.
In 2015 Sofie Quidenus Wahlforss and a highly professional team with an impressive entrepreneurial track record formed the Qidenus Group GmbH as a new start-up in Berlin as an Artificial Intelligence as a Service (AIaaS) provider for cognitive claims management. Built on a fully data-driven approach, omni:us is transforming the way insurers interact with their insured parties. It provides all the necessary tools and information to make fast, transparent and empathetic claims decisions, whilst improving operational efficiency and reducing loss adjustment expenses.
The company is headquartered in Berlin, with research partners in Barcelona and representations in the UK, France and the United States.
omni:us is proud to be one of Europe‘s Horizon2020 SME-Instrument and Fet Flag Champions.
We are grateful to have received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No 820323; 850053.
Co-financed by European Fund for Regional Development (EFRE)
Pro Fit-Project “Vollautomatisierung der Wertschöpfungskette im Digitalisierungsprozess von Archivdaten” with support of IBB/EFRE in 2016/2017.
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