Resolved to the site
Hazard indices built from the physics for the specific asset and site — tropical and extratropical cyclones, and extreme weather more broadly — not a fleet average.
pronounced “see-rus” · from Kairos, the Greek god of the opportune moment
Parametric Risk Models for Renewable Energy
Parametric cover pays on a measured trigger — a wind speed, a storm track, an index — not a slow, contested loss adjustment. Caerus is the model layer that makes those triggers defensible for renewable assets: physics-based hazard, resolved to the site, engineered to keep basis risk small. We’re building it now.
The loss catalogues for cyclone-exposed renewables are short and the climate has moved underneath them. Caerus turns the physics into a priceable trigger.
Hazard indices built from the physics for the specific asset and site — tropical and extratropical cyclones, and extreme weather more broadly — not a fleet average.
Triggers a broker, insurer or MGA can structure cover around, and a developer can design against — transparent enough to defend at a referral desk.
Deep risk engineering keeps basis risk — the gap between what a trigger pays and what a client actually loses — as small as the physics allows.
Illustrative. A parametric policy pays on a measured index crossing a trigger; the art is keeping the payout close to the real loss.
Nothing below the trigger, then a defined ramp to the full limit — a payout rule fixed in advance, not negotiated after the event.
Basis risk is the gap between what the trigger pays and what the client actually loses. Deep physics is what pulls the two curves together.
A measured index settles fast — capital reaches the asset in days, not the months a contested loss adjustment can take.
Tell us the exposure you need to price, and we’ll be in touch as capability comes online.
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