- Adjuster visits the spot
- Photos + customer statements
- 60 to 90 day settlement
- Loss ratio swings by tens of points per season
Goable is founder-led and pre-revenue. Parametric underwriting is an exploratory research direction on a T2 horizon, not a shipped product. Goable is not an insurer, MGA, reinsurer, coverholder or actuary, and does not quote, bind, price or settle risk. What follows sketches a research-stage technical surface a licensed risk carrier could build on, resting on the parts Goable genuinely does today: forecast verification, provider-skill measurement, historical replay and SPC drift methodology.
Traditional vs parametric
Outdoor-business interruption is a classic claims-handling nightmare: subjective loss assessment, photo evidence, multi-month settlements. Parametric flips the contract: pre-agreed trigger, objective measurement, and a settlement a carrier can process quickly. The leg that is hardest is a credible trigger model. That is the layer this research direction explores, as a signal a licensed carrier could price and issue on.
- Wind under 12kt for 4h means the trigger is met
- An agreed evaluation source confirms the outcome
- A carrier settles quickly on confirmation
- Loss ratio bounded by trigger frequency
One trigger, Tarifa kite-school, August 2026
Illustrative only. A kitesurfing school in Tarifa wants weather-cancellation cover for its August teaching season: 31 days, 4-hour windows of at least 12kt sustained wind. The sketch below shows how a technical signal could be assembled from historical exceedance, per-cell forecast skill and operator loss loading. A licensed carrier's actuary would own any tariff. Goable prices nothing here.
POST /v1/underwriting/quote
{
spot: "kitesurf-tarifa-balneario",
trigger: {
metric: "wind_kt",
operator: "lt",
threshold: 12,
duration_hours: 4
},
coverage: {
from: "2026-08-01",
to: "2026-08-31",
loss_given_trigger_eur: 11400
}
}- Forecast skill (Brier)per-cell historical, refit nightly0.92
- Historical exceedancereanalysis multi-decade base rate8.4%
- Tier risk multiplierper-spot tier + tierSource echoed on the response1.18
- Loss given triggeroperator-supplied LGTEUR 11,400
- Carrier loading + IPTa licensed carrier's actuary discretion + insurance premium tax1.42x
Pick a spot. Pick a trigger. See the signal.
An illustrative research demo. It replays your exact trigger against 20+ years of an agreed historical source at the spot you choose. It is not an insurance quotation, does not bind any carrier, and Goable does not price, quote or settle anything from it.
Set a spot, an activity, and a trigger, then hit calculate.
An illustrative research demo. It replays 20+ years of real ERA5 weather at that exact spot. It is not an insurance quotation, and Goable does not quote, bind, price or settle risk.
Where Goable stops and a carrier begins
In this research sketch, Goable would supply the weather-decision signal, the historical analysis and a drift monitor. A licensed carrier would own pricing, issuance, binding and settlement. None of the steps past the signal are operated by Goable today.
Define a trigger
In this research sketch, a carrier would define a parametric trigger: the cell, the metric, the threshold, the duration and the evaluation rule. Everything downstream traces back to this definition.
Analyse historical frequency
Replay the exact trigger against decades of an agreed data source to measure how often it would have fired. Same scoring curves the /v1/score endpoint uses today.
Assemble a technical signal
Forecast skill, historical exceedance, loss-given-trigger and per-cell tier combine into a technical weather-decision signal. It is research-stage input for a carrier to study, never a premium, quotation or offer from Goable.
A licensed carrier prices, issues and binds
The carrier's actuary validates the methodology, sets the tariff, and the licensed carrier issues or binds any policy. Goable does not price, quote or bind. This step sits entirely outside Goable.
Replay against the data hierarchy
After a window, a bound cohort could be replayed against a contract-defined evaluation source or documented hierarchy of sources. Idempotent on repeat calls; only new events count.
Emit an auditable evaluation signal
The research surface could emit a trigger evaluation event carrying an evidence hash. A licensed carrier, not Goable, decides and settles. Every event is reproducible from the bind snapshot.
Design intent: do not bind on a degrading model. The sketch has a bind step refuse (422 DRIFT_ACTIVE) when the engine has an open warning or critical drift event on the resolved cell. Watch-level drift returns as an advisory. This is a research-stage guardrail a carrier could adopt, not a live underwriting control Goable runs.
The source would be agreed at binding
In the sketch, a policy's evaluation source is agreed at binding by the carrier. Depending on the product it might use an approved observation source, a defined reanalysis dataset, or a documented hierarchy of sources. Reanalysis is not treated as automatic contractual truth: the contract decides.
A bind snapshot would freeze the cohort hash, calibration version and evaluation rule. Every later evaluation cites that hash, so a carrier could re-derive the outcome from the open catalog and the agreed source, without Goable's cooperation.
What is real today, and what stays with a carrier
Goable has not been audited for regulatory compliance and is not an insurer, MGA, reinsurer, coverholder or actuary. Only the research-foundation rows are real today; everything insurance-facing sits with a licensed carrier and is not built.
Research a carrier's review could draw on
This research is designed with insurer, MGA and delegated-authority model-governance frameworks in mind, so a carrier could study it against its own requirements. Goable makes no claim of conformance, readiness or compliance with any regulatory regime, and this is not an attestation or compliance product.
The SPC drift charter is real research today. A carrier could study it as a model-monitoring input inside its own governance review, subject to its own validation.
The drift charter, cohort hashes and per-cell skill estimates are structured to feed a carrier's model-governance work, never to replace it or to stand as compliance.
Pseudonymous and tenant-scoped, audit-log retention configurable per DPA, EU residency by default. A carrier maps this to its own obligations.
Every technical signal is a function of (cohort hash, calibration version, profile maturity). Same inputs, same number, forever.
Evaluation as an event, settlement as a carrier's
Illustrative only. In the sketch, a window expires and an evaluator runs, emitting a trigger evaluation event carrying the policy id, the evaluation basis hash and the triggered outcome. A licensed carrier, not Goable, decides and settles, and reconciles by evaluation-basis hash rather than by spreadsheet.
- Reasonable retry posture (5 attempts, exponential backoff)
- The signal is bound to the original binding's cohort by hash
- Idempotent on policyId (replay-safe)
Where Goable stops and a licensed carrier begins
- Trigger modelling and definition support
- Historical trigger-frequency analysis against an agreed source
- Forecast-skill verification and drift monitoring
- A technical weather-decision signal (never a premium, quotation or offer)
- Open methodology for technical due diligence
A research collaboration, not a product you can buy
There is nothing to purchase here and no self-serve trigger endpoint. If you are a licensed risk carrier, MGA or reinsurer weighing parametric weather cover, we would share the forecast-verification and drift methodology and let your team probe the weather-decision signal on its merits, as technical due diligence at a research stage. You carry the risk; Goable contributes a signal and open methodology.