For the avoidance of doubt, this was of course an April Fools!
Introducing Pre-Parametric Insurance
In a historic step-change for the global insurance ecosystem, Genasys is proud to unveil its most disruptive, non-linear innovation to date:
Pre-Parametric Insurance™ (PPI) – an anticipatory risk orchestration framework that enables real-time pre-emptive indemnification prior to the manifestation of an insurable event.
Traditionally, insurance waits. For losses. For notification. For paperwork.
But not anymore.
Every moment between an incident and a claim being settled adds complexity, increases cost and erodes the customer experience. From escalating repair fees to prolonged business interruption and drawn-out supply chain impacts, delay is the enemy of efficiency.
The solution? Eliminate delay altogether.
With Pre-Parametric Insurance™, Genasys reverses the traditional flow of time and risk. By indemnifying events before they happen, Pre-Parametric Insurance allows insurers to proactively settle claims at the lowest point of friction, before damage compounds, before costs spiral, and before customers even reach for the phone.
Settle the claim before the claim knows it’s a claim.
Pre-Parametric Insurance leverages a bleeding-edge tech stack built upon:
- Quantum-Informed Predictive Algorithms™ for anticipatory loss detection
- Hypercontextual AI™, which fuses behavioural analytics with cross-channel sentiment harvesting
- Temporal Blockchain Ledgers to securely timestamp future-tense indemnity transactions
- Pre-Event Parametrics (PEPs) linked to real-time sensor networks and ambient IoT signals
- Edge-Deployed Claimlets™ for instantaneous micro-settlement distribution via smart contracts
- Machine Learning Model Orchestration Layer (MaLMOL) to validate probability-weighted near-future loss clusters
Craig Olivier, CTO, explains:
“Pre-Parametric isn’t just a new module. It’s a temporal transformation engine. We’re not reacting to loss – we’re transcending it. This is what happens when you remove latency from causality.”
Using real-time decisioning engines enhanced by our proprietary Anticipatory Neural Underwriting Grid (ANUG), the Genasys platform detects probabilistic pre-claim scenarios and triggers settlement via Distributed Ledger-Encoded e-Adjusters (DLEAs).
Example Use Cases:
Real-world signals drive real-time indemnity. Whether it’s pre-storm pressure drops, anomalous behavioural data from connected homes, or sentiment shifts across digital channels, Pre-Parametric Insurance detects emerging loss patterns and triggers settlement—before policyholders even realise there’s a claim to make.
All incorrect predictions are securely held in cold storage within our Quantum Delayed Settlement Repository™, pending validation when the appropriate reality catches up. Or doesn’t. We don’t judge timelines.
Andre Symes, CEO of Genasys, commented:
“Insurers talk about being proactive. Genasys is being pre-active. This is what it looks like when you future-proof the future.”
With Pre-Parametric Insurance™, Genasys continues to push the boundaries of what’s possible in insurance innovation. While time remains linear for now, the future of insurance doesn’t have to be. Because at Genasys, we don’t just anticipate change, we fix it before it happens.
