— The dashed line connects both halves of the board: the verifier and the insured check the same receipt. That shared object is what makes the revenue lines composable.
Start by killing the ambiguity. “$20M year one” can mean gross written premium, recognised revenue, or an exit run-rate, and the three differ by nearly an order of magnitude in what they demand. This deck commits to the hardest honest reading available in year one: $20M of booked revenue across three lines, with GWP and run-rate stated separately wherever they appear.
The three lines. L1 — licence: $20 × agent-years, ~100% margin, no capital required. L2 — premium: GWP written by the carrier, of which only the ceding commission and profit share are ours in an MGA structure. L3 — instrument fee: Part B per-attestation revenue from third parties who build their own instruments and never touch our paper.
Which answers the question a capital counterparty asks before any of the above: do we have to buy the risk to get paid? No. L1 needs no capital at all — no reserve, no underwriting decision, no claims exposure — and it is the only line that clears the target. L2 is a program MGA on fronting paper, where statutory capital required is effectively none: the fronting carrier takes a fee, the reinsurance panel takes the risk, and we take the underwriting authority, the data and the commission. The honest framing for the room is therefore not that we are raising money for a company, but that we are assembling counterparties for a trade. The meter does not need their capital; the books do. At the vehicle, most of the economics are cedable — 50 to 90 percent of each book, gladly. At the meter, none. Structure is not for sale; economics are negotiable.
And the property that makes appetite unbounded without making it reckless. Leverage here is only real to the extent it is backed by attested gate installs at deployers — which yields a sentence a catastrophe structure has never been able to say: the collateral improves with adoption. A hurricane's hazard is stationary; ours declines as installs spread, because every gated fleet both lowers the loss it can produce and adds to the corpus that prices it. That is why the paper can be written as unbounded on its face — and exactly why it must be drawn down only against heartbeat-attested fleets. The discipline, stated unprompted because it is what makes the big number believable: appetite unbounded on paper, bounded in fact by attested installs; every book priced at half the gate's modelled efficacy; tranches version-pinned; common-mode gate failure ceded to ILS rather than retained, since one gate defect is a single event across every insured and not a diversifiable book; nothing binds before the external probe. Capacity follows computability, drawn against installs — and the meter company never holds tail.
The number that has to be said out loud: the working plan in the source notes was 10,000 insured agents at roughly $100 each. That is $1M. It is 5% of the target. Getting to $20M requires either twenty times the agents or twenty times the price, and pretending otherwise is how a plan dies in month seven. So: which is it?
The worked shape, with the MGA correction applied. L1 = $6M from 300,000 agent-years, which is two carrier bundling agreements at 150,000 each — two signatures, not two hundred, and ~100% ours. L2 = $10.5M of GWP from 7,000 insured agents at $1,500 — roughly three to five enterprise deployers — of which about $2.6M is ours at a 25% ceding commission, before any profit share. L3 = $3.5M from one reinsurer or fund building a parametric product on the receipts.
Which gives one revenue number, and it is not the target. Booked revenue: $12.1M ($6M licence + $2.6M commission + $3.5M instrument fee). Premium volume placed alongside it: $10.5M of GWP — reported separately, as an exposure figure, never added to revenue. An earlier draft summed the two into a $20.0M “controlled volume” headline; that is a real MGA metric but putting it beside a revenue number invites exactly the confusion this slide is trying to end, so it is gone. Year one is $12.1M of revenue on $10.5M of premium placed, and the $20M target is not met on this plan. An earlier version of this slide summed L2 at full GWP into a “booked revenue” total, which was wrong by roughly $8M and contradicted the MGA economics stated two paragraphs above it. Naming that here rather than quietly repairing it, because a reader who catches an arithmetic error the deck did not own has stopped believing the rest of the arithmetic.
So what actually clears $20M of booked revenue? L1 does, and nothing else can. One million agent-years is $20M on its own, at roughly 100% margin, with no reserve, no underwriting decision and no claims exposure — and it is bought with a small number of carrier signatures rather than a sales force. The premium line will never carry a $20M revenue target in year one under MGA economics; it carries the evidence, which is what makes L1 and L3 buyable at scale. Read the plan accordingly: the carrier exists to prove the instrument; the licence line is what pays.
Read the next three paragraphs with this in front of them, not after them: every rate figure below is computed against this repository's own commit history, not against a book of insureds, and no credentialed actuary has signed it. It is a running rail, reproducible on your hardware today. It is not a rate. Slide 9 is what would have to happen for it to become one.
That said, the $1,500 is not a guess. It is the rail's own rate-on-line applied to a limit. Run calibration-premium.mjs against the live ledger and the lead lane returns a rate of 707.6 bps — the Wilson upper bound on breach frequency (6.3% at n = 180, 5 observed breach, as of 2026-08-13) loaded by volatility (drift std 1.15 against a 4.668% strike, λ = 0.5). At 707.6 bps, a $1,500 premium implies a per-agent limit of $21,198. Inverted: a $250,000 per-agent limit prices at $17,690, and $1M prices at $70,760.
And the correction that matters more than the number. This page quoted 278.7 bps from a 2026-07-30 run, when the ledger held zero breaches. It now holds 5. The upper bound widened, the rate rose to 707.6 bps — it more than doubled, and an earlier draft of this very sentence said “by roughly a third”, which was itself wrong — and every limit above moved with it. That is not an embarrassment to bury — it is the instrument doing the only thing that makes it worth anything: the rate got worse and said so on its own page. Which is also why these figures are now computed from a generated snapshot rather than typed: a hardcoded rate-on-line silently mis-states every limit beneath it, and this one did, for nine days.
Which surfaces the number a reinsurer will ask for before anything else on this page: 7,000 insured agents at a $21,198 limit is $148.4M of aggregate limit standing behind $10.5M of premium. That ratio — not the premium — is what the panel underwrites, and it is why the fronting and reinsurance seat on slide 14 is the second hire rather than the fifth.
And the ratio is worse than it looks, because the book is not diversified. Seven thousand agents held by three to five deployers is a handful of correlated obligors, not seven thousand independent ones. One bad model update, one prompt-template change, one upstream foundation-model revision propagates drift across an entire fleet simultaneously — the same accumulation that broke early cyber-cat pricing, where everybody modelled insureds as independent and a single shared vendor outage hit the whole book at once. A frequency model built on independent trials does not describe this exposure. Three things therefore have to be in the wording before the first policy binds: a per-agent sub-limit, a per-insured aggregate cap, and an event definition that treats a common-cause drift across one deployer's fleet as a single occurrence rather than as N. Clash cover on top of that is a reinsurance-panel conversation, not a wording one.
What is still owed to a credentialed signature: whether 707.6 bps survives calibration against losses that cost somebody money rather than against this repository's own drift, and whether 5 breach in 180 is a frequency or an anecdote. The earlier version of this line asked whether a ZERO-breach sample meant a well-behaved lane or a strike set too loose; the ledger has since answered half of it by recording one, which is a weaker-sounding and far more useful position — a zero-breach sample cannot produce a point estimate at all. Both are the Chief Actuary's first written verdict. Slide 9 is the method; slide 13 is the seat. The arithmetic is reproducible today; the judgement on it is not ours to sign.