Risk is not a department.
It's a dimension of every transaction.
Underwriting, claims, actuarial science, reinsurance, and policy lifecycle — across every industry. Insurance isn't a separate system. It's a computable property of the transaction graph.
Platform
The entire insurance stack.
One system.
Every capability the market offers in isolation — underwriting, claims, actuarial, reinsurance — rebuilt as a unified computation over the same transaction graph.
Underwriting Engine
Risk assessment computed from the transaction graph itself. Every data point that informs a policy decision is traced, versioned, and formally verified. No manual scoring spreadsheets.
Claims Intelligence
Claims adjudicated against the same verified transaction record that underwrote the policy. Fraud detection is a byproduct of provenance — not a bolt-on ML model.
Actuarial Computation
Loss modeling, reserving, and pricing computed with fixed-point arithmetic and formal verification. Actuarial tables are code, not spreadsheets. Every assumption is auditable.
Risk Modeling
Monte Carlo simulation over the full transaction graph. Catastrophe modeling, correlation analysis, and exposure aggregation — all computed in Rust with deterministic reproducibility.
Policy Lifecycle
Quoting, binding, endorsement, renewal, and cancellation — every state transition is a verifiable event on a tamper-evident log. Policy administration as a state machine.
Reinsurance & Capital
Treaty and facultative placement computed from the same risk models. Cession schedules, retrocession chains, and capital adequacy — transparent to every party in the tower.
They estimate risk. We compute it.
Every insurance platform on the market works the same way: collect data from disparate systems, run it through proprietary models, and produce a score that no one can fully explain. InsuranceOS inverts this. The transaction graph already contains the risk signal — property records from TerraOS, trade exposures from TradingOS, regulatory state from ComplianceOS, legal obligations from LegalOS. Insurance isn't a guess. It's a computation over verified facts.
Lines of Business
Every line. Every industry.
Insurance is not one product — it's hundreds of products, each governed by different statutes, actuarial models, and regulatory regimes. InsuranceOS treats them all as computations over a shared ontology.
Property & Casualty
$750BLife & Annuity
$680BHealth & Benefits
$1.2TCommercial Lines
$340BCyber Insurance
$16BTitle Insurance
$22BTrade Credit
$12BParametric
$15BMarine & Aviation
$38BDirectors & Officers
$18BProfessional Liability
$28BSurety & Bonds
$19BEnvironmental
$4BProduct Liability
$9BCrop & Agriculture
$11BOne risk graph. Every industry.
A commercial property policy doesn't exist in isolation. The same building has a title chain (TerraOS), a tax basis (Veritas), an environmental liability (LegalOS), and a compliance posture (ComplianceOS). InsuranceOS sees the full picture because it shares the full graph.
Horizontal Integration
Seven platforms. One risk graph.
InsuranceOS doesn't ingest data from sibling platforms — it shares the same transaction graph. Every event in any system is a signal that refines the risk model.
Financial Risk Signal
Tax computations reveal financial health, asset basis, and liability exposure. InsuranceOS uses this provenance chain for credit risk underwriting and fidelity pricing.
Property Risk Signal
Title chains, property valuations, and transaction histories provide the ground truth for property & casualty underwriting, title insurance, and catastrophe exposure.
Market Risk Signal
Trade positions, market exposures, and settlement records feed directly into D&O pricing, trade credit assessment, and financial guarantee underwriting.
Legal Risk Signal
The statute graph and contract lifecycle engine define the regulatory surface for every policy. Coverage terms are validated against jurisdiction-specific law.
Regulatory Risk Signal
Compliance posture across 50+ frameworks feeds directly into cyber insurance pricing, D&O risk assessment, and regulatory penalty exposure modeling.
The Insurance Layer
Sits across all platforms. Computes risk from the full transaction graph, underwrites policies, adjudicates claims, and models reserves — in real time.
// Every transaction has an insurance surface
pub struct InsuranceOS {
underwriting: "Transaction-native — risk computed from the graph",
lines: "12+ lines of business, shared ontology",
jurisdictions: "195 countries — powered by LegalOS statute graph",
actuarial: "Fixed-point arithmetic, formally verified models",
claims: "Adjudicated against verified transaction records",
platforms: "[Veritas, TerraOS, TradingOS, LegalOS, ComplianceOS, Insights, Settlement]",
}Architecture
Built on the same foundation.
InsuranceOS shares the Transaction Science architecture. The same choices that make tax math provable make actuarial math provable.
Rust Everywhere
The actuarial engine, the underwriting pipeline, the claims adjudicator — all Rust. Memory-safe. No garbage collector. Single binary deployment.
Formal Verification
Actuarial models are symbolically verified with Kani. If we say a reserve computation is correct, it's proven — not tested with sample data and hoped for.
Offline-First WASM
Run underwriting and risk computations in air-gapped environments. The full engine compiles to WebAssembly. Price a policy without an internet connection.
Tamper-Evident Audit Log
Every underwriting decision, claims event, and reserve adjustment is hash-chained. The regulatory audit trail is the source of truth — immutable by construction.
AI Suggests, Math Decides
LLMs triage claims, surface anomalies, and draft coverage recommendations. The actuarial engine makes the final determination. No black-box pricing decisions.
Energy-Aware Computation
Every actuarial computation is metered in joules via Insights. The cost of underwriting a policy is measurable, reportable, and optimizable.