Opterrix is a data visualization platform that enables re-insurers, managing general agents (MGAs), and brokers to quantify and mitigate risks associated with natural disasters through geospatial analytics. The platform enhances claims management and portfolio oversight by providing actionable insights to reduce avoidable losses in a changing climate.
Funding
Funding not disclosed
Founders
Product
Problem
Insurers, MGAs, and brokers face challenges in accurately quantifying and mitigating risks associated with increasingly frequent and severe natural disasters, leading to avoidable losses and difficulties in managing claims and portfolios. Traditional methods often lack the granularity and real-time insights needed to proactively address these evolving risks.
Solution
Opterrix provides a geospatial analytics platform that empowers re-insurers, MGAs, and brokers to proactively identify, quantify, and mitigate risks associated with natural disasters. The platform offers real-time portfolio intelligence, enabling users to optimize risk distribution, monitor threatening events, and prevent the binding of at-risk policies. By providing actionable insights through weather and hazard APIs, Opterrix enhances claims management, streamlines underwriting processes, and facilitates proactive policyholder engagement, ultimately reducing losses and improving customer satisfaction.
Target Audience
The primary target audience includes re-insurers, managing general agents (MGAs), and brokers seeking to enhance their risk management, underwriting, and claims management processes in the face of increasing natural disaster risks.
Features
- Real-time portfolio monitoring to prevent over-concentration of risk and optimize risk distribution.
- Customizable aggregation limits to meet the unique needs of each line of business.
- Location-based risk scoring and event history of primary and secondary weather perils for improved risk selection.
- Automated moratorium tools that continuously monitor natural perils and quantify at-risk exposure in real-time.
- Street-level post-event imagery to clarify event severity and optimize response strategy.
- Claims predictions using advanced machine learning models to enable proactive resource allocation.
- Weather and hazard APIs providing access to real-time and historical perils data, including wind, hail, precipitation, wildfire, and convective storms.
- Integration with policyholder web portals or mobile applications for proactive communication and loss mitigation recommendations.