omni:us is a Global Winner in Zurich Innovation Championship for its AI-powered Digital Claims Adjuster Platform
omni:us, leading provider of AI-powered end-2-end insurance claims automation solutions, has announced it is one
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omni:us, leading provider of AI-powered end-2-end insurance claims automation solutions, has announced it is one
Berlin, 30. May, 2023 – omni:us, leading provider of AI-powered end-2-end insurance claims automation solutions,
omni:us announces successful collaboration with MS Amlin Marine NV to fully automate the claims process
Berlin, 17. April, 2023 – omni:us, leading provider of AI-powered end-2-end insurance claims automation solutions,
Claims management is a most crucial aspect of the insurance industry for several reasons. The
Co-Founder and CEO Sofie Quidenus-Wahlforss takes up the position of Executive Chairwoman Current Chief Product
W&W subsidiary Württembergische Versicherung joins financing by existing investors omni:us enables insurers to achieve AI-powered
We sat down with our wonderful Data Scientist, Diede, to gain some insight about her
Property insurance claims have a great variance in type and complexity. Whether it is for
omni:us, leading provider of intelligent insurance claim automation, is very pleased to announce that Chris
omni:us, leading provider of intelligent insurance claim automation, proudly announces that Stephan Schnitzler has been
Skilled in business planning and development, strategy, change management, and organizational design, Guido Merz is
The property/casualty claims area is experiencing a whole range of external pressures that are driving
By leveraging a no-code integration on Socotra Marketplace, mutual customers can gain instant access to
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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