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Simulytic, a Siemens Insurtech venture, analyses the safety and impact of autonomous vehicles, translating big simulation data outputs into tailored insurance insights.
 
With the appointment of Alex Gerodimos as Chief Growth Officer (CGO), Simulytic has made an important strategic addition to the leadership team.

Alex Gerodimos’ role at Simulytic

As CGO, Alex will act as an executive leader to strategise and execute Simulytic’s go-to-market, accelerating the product-market fit for today’s autonomous vehicle insurance product range, ultimately scaling to simulation-as-a-service. Alex has a proven track record in tech, delivering sustainable revenue growth in the building of two successful simulation businesses.

With Simulytic’s competence in turning simulated data into insurance-relevant information, the insurance industry can drastically reduce the risk of uncertainty when insuring autonomous vehicles, throughout their operational lifetime: from the moment of deployment and subsequently with every software update.

Accelerate growth

It’s the right time to help insurers enable and accelerate the scaling of autonomous vehicles"

Andy Gill, Chief Operating Officer (COO) & Co-founder of Simulytic said, “We are thrilled to welcome Alex into Simulytic, where he's founder’s mindset will keep our focus on customer value and help drive growth.

Alex Gerodimos adds, “I am excited to jump in and look forward to contributing to the successful future of Simulytic. It’s the right time to help insurers enable and accelerate the scaling of autonomous vehicles.”

About Simulytic

The Simulytic simulation platform uses massive simulation to analyse and evaluate the impact and safety of autonomous vehicles in their operational environment, before, during, and after deployment. The in-house startup, headed by Andrea Kollmorgen, is focused on accelerating autonomous mobility deployment at scale and was launched at the 2021 IAA Mobility as a Siemens Insurtech venture.

Simulytic delivers transparent insights into the risk profiles of autonomous vehicle driving behaviour and location-related risk, enabling customers such as (re)-insurers to create and develop the right products, determine fair prices and create effective business strategies for their customers in the future with autonomous vehicles.

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