Last week omni:us held a 1-day workshop about our favourite industry. And it’s safe to say that the first edition of “Insurance Day” was a hit! We welcomed a host of excellent speakers to… Continue Reading
https://www.sueddeutsche.de/wirtschaft/ki-arbeit-roboter-1.4516090 Continue Reading
https://www.capital.de/karriere/diese-tech-gruenderinnen-sollten-sie-kennen Continue Reading
Berlin, 20 September 2019 – omni:us, the insurance-focussed artificial intelligence (AI) solution business, has been awarded €1.6 million from the European Commission to help it develop more AI pilot projects and proofs of concept (POCs)… Continue Reading
https://www.bsurance.tech/en/2019/07/09/where-ai-x-insurance-the-machine-intelligence-summit-2019/ Continue Reading
https://be.invalue.de/d/publikationen/vwheute/2019/07/09/Omnius-Gruenderin-Wahlforss-Wir-reparieren-keine-Lecks-wir-machen-neu.html Continue Reading
LONDON, 6th September, 2019 – omni:us, the provider of Artificial Intelligence as a Service (AIaaS) for cognitive claims management, is delighted to announce that it has won the Insurance Innovation of the Year at The… Continue Reading
We won! I was in London last night for the Insurance Insider Honours. Very proud to announce that omni:us took home the Insurance Innovation of the Year Award! It’s a symbolic award for us, because… Continue Reading
The search for a better understanding of the processes taking place in artificial neural networks. Rapid progress has been made in deep learning in the last few years. Neural networks, whose framework is based… Continue Reading
https://www.capital.de/wirtschaft-politik/digitalisierung-diese-koepfe-gestalten-die-wirtschaft-von-morgen Continue Reading
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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