Claims Carbon
Decarbonising the insurance industry one click at a time
Claims Carbon app for estimating carbon emissions for the insurance companies.
In Scandinavia, insurance companies are far more eager to replace cars after traffic accidents instead of repairing them. That might have organizational advantages, but the carbon footprint of such policies is disastrous.
- Establishing a scalable data model
- Possibility to process hundred of thousands of rows of data provided by our clients
- Intuitive interface for the users
- Automated generation of reports
- Establishing a scalable data model
- Possibility to process hundred of thousands of rows of data provided by our clients
- Intuitive interface for the users
- Automated generation of reports
In Scandinavia, insurance companies are far more eager to replace cars after traffic accidents instead of repairing them. That might have organizational advantages, but the carbon footprint of such actions is disastrous.
The mission of The Claims Carbon (CC) Institute is to help decarbonise the insurance industry. While other companies focus on helping insurers measure their own emissions (offices. transportation, etc.) Claims Carbon aims to tackle a far bigger and more complex issue - emissions caused by insurance decisions as well as expected and realized carbon footprint of various risk types.
But how to calculate that?
To tackle this hurdle CC turned to KOIA or help. The first challenge was to describe the multi-level data model. Sometimes emission data is known for the whole car, sometimes for the sub- or sub-sub- elements. What if the car manufacturer changed their supplier or an emissions estimate for any given part? Together with CC we work on establishing industry-wide data standards that help unify emission calculations and reporting. Then, we went on to import the insurer's anonymised accident data.
The mission of The Claims Carbon (CC) Institute is to help decarbonise the insurance industry. While other companies focus on helping insurers measure their own emissions (offices. transportation, etc.) Claims Carbon aims to tackle a far bigger and more complex issue - emissions caused by insurance decisions as well as expected and realized carbon footprint of various risk types.
But how to calculate that? To tackle this hurdle CC turned to KOIA or help. The first challenge was to describe the multi-level data model. Sometimes emission data is known for the whole car, sometimes for the sub- or sub-sub- elements. What if the car manufacturer changed their supplier or an emissions estimate for any given part? Together with CC we work on establishing industry-wide data standards that help unify emission calculations and reporting. Then, we went on to import the insurer's anonymised accident data.
A few billion calculations later, we found the holy grail of emission calculations – how much carbon you emit while replacing cars vs repairing them, and what percentage of used parts you should use to meet your portfolio ’s emissions goals.
We took ownership of the technical part of the solution, delivering an application that securely handles a great amount of data and prepares calculations and reports based on the algorithms provided by the clients. In practice the saas platform enables baseline GHG calculation, risk selection, reporting, and turning insurance products into net-zero solutions.
Climate-tech x Insurtech
We took ownership of the technical part of the solution, delivering an application that securely handles a great amount of data and prepares calculations and reports based on the algorithms provided by the clients.
Climate-tech x Insurtech
Scalable infrastructure.
Able to process hundreds of thousands of rows of data provided by our clients and to scale automatically when needed.Intuitive interface.
Helping users fill out all forms in the system, thus providing a great amount of information, is very simple.Data presentation.
Automated generation of reports with clean and consistent graphs and tables, giving users the information they need.Stable cloud environment.
Optimised to save time, money and for quick and easy maintenance.High standard codebase.
Since every comma matters, we needed to keep the code to the highest standard possible. We know that even a small issue with roundings multiplied by millions amounts to a huge mistake.Security and data privacy.
Data is key, and information provided by the insurance companies requires a high level of security and data privacy.Scalable infrastructure.
Able to process hundreds of thousands of rows of data provided by our clients and to scale automatically when needed.Intuitive interface.
Helping users fill out all forms in the system, thus providing a great amount of information, is very simple.Data presentation.
Automated generation of reports with clean and consistent graphs and tables, giving users the information they need.Stable cloud environment.
Optimised to save time, money and for quick and easy maintenance.High standard codebase.
Since every comma matters, we needed to keep the code to the highest standard possible. We know that even a small issue with roundings multiplied by millions amounts to a huge mistake.Security and data privacy.
Data is key, and information provided by the insurance companies requires a high level of security and data privacy.