AI-native insurance infrastructure for the embedded economy.
Six months to onboard a partner. Eight months to launch a product. Spreadsheets emailed between people who have never met. Reinsurers frustrated by data they cannot verify. Somewhere in the middle, a founder with a great idea -- waiting on hold.
Legacy carriers built economics for rare, catastrophic events -- the burning house, the totaled car, the hundred-million-dollar program. The growth market is now small, frequent, and embedded in every checkout.
We are not capturing TAM. We are creating the TAM that legacy carrier economics made impossible.
A fully licensed, AI-native insurance carrier built from the first line of code for the high transactions, low volume embedded market that legacy carriers cannot serve.
Every object carries a birth certificate. The bordereau number is provably the real number — not the version after quiet adjustments nobody documented.
When an underwriter leaves a legacy carrier, the knowledge walks out the door. Our memory engine keeps it — and lets it compound across every partner.
From underwriting referrals to claims decisions to actuarial analysis, agents turn trusted data and institutional memory into usable judgment.
The system claim Each pillar writes into the next. Cut one and there is no loop — just three disconnected tools.
| 2026 | 2027 | 2028 | 2029 | 2030 | |
|---|---|---|---|---|---|
| Revenue | |||||
| Net Earned Premium | $0.3M | $4.7M | $23.0M | $78.5M | $210.1M |
| Fronting Fees | $0.5M | $2.9M | $6.2M | $11.4M | $19.6M |
| Investment Income | $0.3M | $0.5M | $1.6M | $2.3M | $3.5M |
| Other | $0.0M | $0.0M | $0.0M | $0.0M | $0.0M |
| Total Revenue | $1.1M | $8.1M | $30.9M | $92.2M | $233.2M |
| Expenses | |||||
| Net Losses and LAE | $0.1M | $1.4M | $7.7M | $28.3M | $79.3M |
| Net Commission | $0.1M | $1.2M | $6.8M | $29.0M | $86.7M |
| Other UW Expense | $0.0M | $0.0M | $0.0M | $0.1M | $0.3M |
| Staffing | $1.2M | $4.4M | $8.2M | $12.4M | $17.9M |
| Other | $1.7M | $3.8M | $6.5M | $10.8M | $18.4M |
| Total Expenses | $3.0M | $10.8M | $29.2M | $80.6M | $202.7M |
| EBITDA Crossover: 2027 → 2028 | |||||
| EBITDA | -$2.0M | -$2.7M | +$1.7M | +$11.6M | +$30.5M |
Not a board seat and a check. Hands-on from the first line of code.
GPs actively involved in initial build, strategic decisions, and carrier acquisition. BlankMetal -- Rally portfolio company -- serves as development partner.
Rally's playbook puts Slingshot in front of portfolio companies. Embedded insurance is a natural revenue line for vertical SaaS platforms in the Rally network.
Rally has backed embedded finance from its earliest days. Their thesis -- that every software company becomes a fintech company -- validates the embedded insurance opportunity.
Former Chief Actuary and Chief Data Officer at Palomar -- a $4B carrier with $1B in top-line revenue. Prior: Intact Financial, a large institutional carrier, and the TigerRisk reinsurance team.
Fellow-level actuary who writes production code. The rare combination of insurance domain mastery and technical architecture ability.
Saw firsthand that institutional resistance to data and AI innovation was intractable -- not because the people were incompetent, but because the architecture was incompatible. Left to build what could not be built inside an existing carrier.
Founder of Vertical Insure -- an embedded insurance MGA serving 750,000+ customers at $25 average premium (master policy structure).
Experienced every pain point from the MGA side: six-month carrier onboarding, opaque data, carriers that "provide paper and nothing else."
The voice of the customer permanently at the founding table. What Brock needs is what every embedded MGA needs.
Rally Ventures GP and serial embedded-solutions entrepreneur. Prior companies include SportsEngine, Vertical Insure, Yardstik, JustiFi, and Otto.
Brings the Stripe/Shopify thesis to insurance: when carrier infrastructure becomes accessible, the number of embedded MGAs grows 10-100x.
Deep pattern recognition on what it takes to build and scale embedded infrastructure businesses across verticals.
Prolific fintech investor and entrepreneur. Companies include SoFi, Figure Technology Solutions, Bold, Pace Loan Group, Vertical Insure, and JustiFi.
Brings capital markets, regulatory architecture, and fintech scaling playbook to the carrier build -- bridging strategic vision and day-to-day execution in regulated environments.
Seasoned revenue leader who took her last company from $70M to $700M in ARR. Deep experience building go-to-market engines for insurance and fintech companies from early stage through scale.
Owns the MGA partnership pipeline, onboarding experience, and revenue expansion strategy. Rally's go-to-market playbook runs through Liz -- providing an immediate channel for MGA acquisition at zero customer acquisition cost.
The commercial engine that converts Slingshot's technical advantage into market share.
Every transaction across every partner feeds the institutional memory engine. Year 2 data advantage is structurally unreachable by a Year 3 entrant. The platform gets smarter with every policy.
Better data earns better treaty terms. Better terms attract more MGAs. More MGAs generate more data. The flywheel is architectural, not commercial.
Once an MGA's data flows through the Slingshot OS with artifact-level trust and institutional memory, migrating to another carrier means abandoning the intelligence layer entirely. The cost of off-boarding is functionally prohibitive.
By naming and owning "the inverted market," Slingshot defines the vocabulary competitors must borrow. When the market conversation is "high transactions, low volume, embedded," every entrant validates our thesis.
$25 policies embedded in checkout flows have near-zero price elasticity and extreme switching costs. Once integrated, the carrier relationship is infrastructure, not a vendor contract.
Capital to acquire and capitalize a carrier shell, build the full Slingshot OS, hire the founding team, and onboard the first cohort of embedded MGA partners.
The only carrier whose economics were built from the first line of code for the market that actually matters.