HouseholdsAIRobotics StandardRequireRating MarketModelVision 日本語

The model, running.

This is the same actuarial model and 30-year simulation our internal papers are generated from, executing in your browser. Move any assumption and every rate, account, market figure and chart below recomputes. Version 0.2 absorbed a four-lens review — pricing actuary, treaty reinsurer, fleet operator, fund diligence — and is more conservative than the version it replaced. Published because a price you cannot interrogate is a quote, and a forecast you cannot change is a pitch.

Model
v
Evidence split
Target loss ratio
Assumptions editable
All of them
§1

Rates by line

Burning cost is frequency × severity, where severity is indemnity-only, trended to the 2026–27 accident date, limited to a $1m basic limit on a lognormal, then loaded for defence cost, parameter uncertainty (by evidence class) and correlation. The gross rate divides that by the target loss ratio — what is left after an itemised expense stack, the net cost of reinsurance, and margin. Every row carries its evidence class.

§2

What a buyer pays

Worked accounts at the current assumptions. The fintech pair is the whole sales conversation: same company, same revenue, differing only in whether a spend ceiling exists.

§3

The market today

Bottom-up from the world's operational robot stock, at our rates. Caged arms sit on existing machinery programmes and are excluded from the addressable figure.

Reality check. Cyber insurance — the closest structural analogue — reached about $15.3bn of global premium in 2024, after roughly twenty-five years, and is still under 1% of global P&C. Any model that produces a multi-billion autonomy line inside five years is wrong.

§4

Thirty years, four worlds

Annual simulation 2026–2056 under four worlds. BASE follows Goldman's humanoid curve; BULL follows Morgan Stanley's; BEAR assumes humanoids stall and AI liability is absorbed by incumbents; UMBRELLA is the bull curve with full execution. Roboline's economics are a real P&L — MGA commission net of distribution, then a loss-ratio path, quota-share cession, duration-weighted float, opex, and the external capital a carrier needs. This cannot tell you which world arrives.

Premium pool by world

annual, USD

Roboline net revenue and EBITDA —

annual, USD

What one commercial humanoid costs to insure

per unit-year, USD
§5

Evidence ledger

Every parameter, with what it rests on. Measured from data we hold; Borrowed from an adjacent line; Judgment is engineering opinion we have not yet earned the right to hold. Count the labels.

§6

How to read this

The absolute level of any rate here could be wrong by a factor of two in either direction; there is no loss history for these classes and the page says so on every row. The ratios between segments are where the confidence is, and the ratios are what pricing decisions actually turn on. The simulation is the argument written down so it can be attacked one assumption at a time — which is what the controls are for.

If the price moves, you should be able to see what moved it.
This page runs Roboline's indicative model (v) client-side. Frequencies and severities are borrowed from adjacent lines or are judgment, as tagged; none derive from Roboline loss experience, of which there is none. Market figures use published exposure counts (IFR World Robotics 2025) and published forecasts (Morgan Stanley, Goldman Sachs, Munich Re, NCCI, Swiss Re) and inherit their uncertainty. Roboline's own position in the simulation reflects market-share, take-rate, float-duration and yield assumptions that are ours and editable above. Nothing here is a filed rate, an offer of insurance, a forecast, or investment advice.