Work
Natural disaster protection through a smart contract insurance platform
A decentralised blockchain platform that uses smart contracts, tokenisation and global risk pooling to rethink risk transfer for natural disaster insurance, now live in production.
- What it proves
- That we can take an insurance idea from a prototype to a platform running in production.
- Built from
- Blockchain and smart contracts
- Tokenisation of risk and policy participation
- Global risk pooling
- Web application for policyholders and participants
The problem
Traditional risk transfer is slow and expensive for the people who need it most. Cover for natural disasters passes through layers of intermediaries, claims are assessed case by case, and capital sits in a few regional pools. When a flood or an earthquake hits, the people affected wait while the paperwork moves.
What we built
A decentralised platform on a blockchain that handles risk transfer through code instead of intermediaries. Smart contracts hold the policy terms and the payout rules, so the conditions for a claim are written down once and executed the same way every time. Tokenisation turns shares of risk and capital into units that can be held, traded and tracked. A global risk pool spreads exposure across many participants and regions, so no single event has to be absorbed by a single local pool.
The platform is live in production. A policy can be followed from purchase through to a triggered payout, and the same flow was first shown to investors as a working demo.
What it proves for a client
A new insurance model is easier to back when people can see it work, and easier to trust once it is running. The mechanics are concrete: who puts capital in, what triggers a payout, and how the pool absorbs a loss.
Method stages
The work began in Stage 02 · Prove the value, with a prototype built to answer a specific question from the people deciding whether to back the idea. It then moved through Stage 03 · Engineer the system into production, and is now in Stage 06 · Run and evolve. See the KARPINITY Method.