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Zyme offers outsourced catastrophe modeling services and related data analytic services to the insurance and reinsurance industry worldwide. We specialize in delivering high quality results through our fully secure, SAS 70 compliant, software-powered analytics center in Bangalore, India.

Starting in 2006 Zyme focused its efforts on the insurance and reinsurance industry in order to address the need for timely catastrophe loss information in a better way. Our goal was to take over a specific problem, and solve it end-to-end within Zyme, returning comprehensive, relevant results to our clients. Through our industry-trained, experienced analyst team, we relieve our clients of the burden of establishing and managing the specialized skills required for world-class catastrophe modeling. This enables insurers and reinsurers to expand their capacity, free up their existing staff for higher value activities, and reduce their overall costs.

The global insurance and reinsurance industry is paying increased attention to their exposure to natural catastrophes. The weather losses of the last several years have highlighted the need for insurers to be prepared for what were previously considered to be low probability events. Regulators are now demanding evidence that insurers and reinsurers have properly modeled their exposure to natural catastrophes and have set aside appropriate financial reserves.

Industry leaders now pro-actively run catastrophe models on their changing portfolio every month. They perform routine, periodic assessments of their capital structure, pricing, and reinsurance strategies to ensure they are ahead of the game. The rest of the industry is starting to follow this practice.

Zyme offers best-in-class third-party services to cleanse and enrich exposure data, and run industry standard catastrophe models such as AIR and RMS to estimate losses on property portfolio exposure data sets. Our services offer an affordable 'variable-cost' way for insurers, reinsurers, and intermediaries, to supplement in-house data management and CAT modeling capability, and stay on top of portfolio risk and compliance.

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