CyStellar
Peter Bunus has over 15 years of work experience in various roles, primarily in the technology and engineering fields. Peter is currently the CEO and Co-Founder of CyStellar, a big-data analytics and decision support company. Previously, they served as the CEO of AdAdaptive and held a role as the Director of the Center of Excellence - Safety, Reliability & Operations at ESI Group. Peter also has experience as a Co-Founder and Director of Business Development at Senion, and as an Associate Professor and Assistant Professor at Linköping University. In addition, they worked as a Research Scientist at Palo Alto Research Center (PARC) and founded SystemicsCode Nordic AB. Peter began their career as a Co-Founder and Research & Development Engineer at MathCore Engineering AB, which was later acquired by Wolfram Research. Throughout their career, Peter has demonstrated expertise in areas such as model-based engineering, system design, software development, and diagnostics technology.
Peter Bunus earned their Ph.D. in Computer Science from Linköping University, where they attended from 1999 to 2004. Additionally, they have obtained a certification as a Certified SCRUM Master, although no information regarding the institution or the specific date of obtaining the certification is provided.
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CyStellar
At CyStellar, they remotely detect risks, automatically classify objects from the risk point of view, and consistently monitor risks over time. The cumulated risk information feed is seamlessly integrated into the (re)insurers workflows and offers dazzling insights on almost any place on the globe and it is directly linked to the insurancepolicies. Their solution improves profitability through more intelligent underwriting and quicker claims assessment.The CyStellar cloud-based platform seamlessly integrates between satellites, ground sensors and enterprise software, such that all the data is automatically collected, sent to the cloud, analyzed, and displayed in useful form, ideally in near–real time. Their data acquisition process is driven by information extracted from millions of insurance policies, pre-matching individual policies (assets and risk factors) to satellite and aerial data sets defined by required resolution spectrum and frequency. In this way, CyStellar always integrates the best external data set at the lowest possible price while provides insurers with a completely integrated solution.