omni:us has been featured numerously in the press and media.
Please email us with any media inquiries.
omni:us is 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 policyholders by providing 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.
At omni:us, we envision a world with strong safety nets for everyone.
Over the next decades, we believe that insurance will get dramatically more efficient and affordable through technology. We think that insurance will become more human and empathetic, with less unnecessary pain and time wasted for everyone involved. Insurance companies will be able to focus on bringing true value to their customers. They will allow their employees to focus much more of their time on the customer, rather than on processes. Access to structured data will allow not only for truly personalised insurance, but also help with prevention of accidents and disease through advanced predictive analysis. Better automation will lead to fair and transparent claim judgement, eventually removing any bias from the process. omni:us will be the most important catalyst for this shift globally. And yes, have a long journey ahead of us, but our vision of better insurance for everyone is brighter and clearer than ever.
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 850053; 820323.
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.