Trusted by leading insurers
We are trusted to supercharge the legacy & core systems of
leading insurers with our fully data-driven, AI-first claims platform.
The latest cutting-edge technology and deep insurance domain expertise meet today’s needs to rethink claims handling – without costly integration, but seamless augmentation of legacy & core systems.
Trusted by leading insurers
Build end-to-end claims journeys
by combining AI modules.
Automate claims and enable decision support as per your business requirements.
Expand robust & stable modules
within your enterprise architecture.
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.
“A central aspect will be to automate processes which eat up a lot resources today… that will make the industry more cost-efficient, products cheaper for customers, and will benefit people at the insurance companies as well.”
Dr. Torsten Oletzky TH Köln, formerly CEO of ERGO
Largest installation processes peak load of hundreds of claims per hour
Seamless addition of new modules as additional Micro-Services
Scale services within modern insurance enterprise architectures
omni:us partners with leading research hubs and academic institutions to advance the use of machine learning for insurance.
We’ve built a partnership network with top institutes such as the Computer Vision Center (CVC) in Barcelona to explore the future of machine learning and advance the technology for data-driven claims handling. Through this collaboration, we focus on a variety of machine learning research topics – and work on solving open AI challenges in a range of industries. This large pool of expertise helps us keep pace with the latest machine learning trends and deliver new techniques in the context of data-driven claims automation.
We are more than honoured to have Allianz Austria as our #end2end #claims #automation customer🚀
Working with AXA on #ClaimAutomation: In recent years, I have participated in many conversations and panel discussions regarding the difficulties surrounding collaboration between the #corporate and #startup world - and yes, it’s incredibly challenging for both sides. In the spirit of our ongoing collaboration, I wanted to highlight the dynamic spirit of the AXA team led by Audrey Amiot, Chief Transformation & Operations Officer at AXA Belgium. Their profound tech affinity, compelling speed and invigorating hunger for #innovation are the key reasons why we have achieved remarkable successes to date as we both collectively aspire to revolutionize claim automation in the #insurance industry....
More than thankful that Thomas Buberl, CEO of AXA, took time to listen to our vision 🚀 Exchanging notes with one of the most influential leaders in our space means a lot to me.
The claim automation revolution has started💫
We are delighted to announce the closing of our €12M Series A+ extension round with participation of Württembergische Versicherung 🚀
“There were no structured data inputs required for getting to as much as 80% automation level just by using the technology omni:us has in place.” 
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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