Parameterized real-world risk markets

Create markets for measurable event risk.

Argovis AI brokers turn defensible data sources into contract-grade event parameters. Enterprises buy fast protection. Qualified capital buys private risk notes tied to real-world outcomes.

I need protection I buy event risk View pilot math

For risk buyers

Protect cash flow from measurable events without waiting for traditional claims friction.

Request a parameter

For qualified capital

Review tokenized private risk notes with disclosed triggers, max loss, collateral and settlement logic.

See risk inventory

Who the site must convert

Built for the roles already searching for better risk transfer.

LinkedIn role sampling showed two clear pools: enterprise risk leaders who need narrow event protection, and professional capital allocators who already understand structured risk.

Global risk managersCaptives, BI exposure, enterprise risk financing.

Data center operatorsGrid, hail, heat, outage and uptime risk.

Water utilitiesAlgae bloom, raw-water quality and service disruption.

Port and logistics leadersClosure, congestion and contingent BI parameters.

ILS and RWA investorsDefined real-world risk with tokenized records.

The parameter factory

Plain-English risk becomes a contract-grade parameter.

The moat is not one peril. It is repeatable conversion of messy public, private and sensor data into auditable triggers a buyer and capital provider can both trust.

Risk prompt

Asset, geography, event, term, desired payout and operational pain.

Source discovery

Satellite, agency, sensor, alert, telemetry, OSINT and counterparty data.

Trigger design

Thresholds, source hierarchy, fallback rules, challenge process and payout curve.

Risk file

Historical replay, basis-risk score, pricing evidence and investor memo.

Settlement

Event packet, source timestamps, oracle decision, payout math and audit trail.

Risk buyer experience

Fast protection without replacing the insurance program.

The enterprise sees a simple commercial contract: amount, term, parameter, payout curve and settlement timeline. They can pay and receive funds by normal rails.

✓Fiat invoice, ACH, wire or USDC.
✓No claim adjustment when the parameter resolves.
✓Clear trigger packet for CFO, board, lender, captive and broker review.

Capital provider experience

Professional capital gets clean event-risk inventory.

Qualified capital reviews event-linked private risk notes with structured data rooms, disclosed max loss, collateral status and permissioned transfer controls.

✓Real counterparty need, not abstract staking yield.
✓Qualified-only distribution, collateral reporting and max-loss disclosure.
✓Source lineage, replay, token records and settlement logic before funding.

First real product hypothesis

Start with one funded event contract, not a broad marketplace.

The wedge is a qualified-only pilot where a buyer gets fast liquidity and capital gets a short-duration, fully collateralized event risk note with objective settlement.

Van Alstyne data center interruption

Illustrative pilot for grid and facility interruption around a North Texas data center asset. Built from utility, ERCOT, uptime and local source data.

Not an offer

Term90 days

Max payout$2.0M

Buyer premium$160k

Collateral$2.0M

Gross period premium8.0%

Settlement target48-72h

Trigger layer	Source packet	Payout band
Grid stress	ERCOT emergency level plus timestamped market notices.	25%
Local outage	Utility outage feed, restoration clock and county emergency notices.	60%
Facility impact	Uptime telemetry, backup-power status or operator attestation.	100%

Buyer resultFast liquidity for downtime, board-ready evidence and no crypto workflow unless the buyer chooses USDC settlement.

Capital resultDefined max loss, premium funded up front, objective trigger packet and permissioned secondary transfer after legal signoff.

Objections addressed

Make it buyable, fundable and counsel-reviewable.

Legal wrapper now Private qualified-only event contract or risk note, fully collateralized, transfer controlled and reviewed by securities, commodities and insurance counsel before launch.

Insurance wrapper later If a buyer needs regulated insurance treatment, Argovis can plug the same parameter into a carrier, fronting carrier, MGA or cell structure without changing the oracle workflow.

Actual buyer demand The personas are enterprise CROs, data center risk leaders, business continuity directors, utility risk managers, ILS PMs, RWA managers and digital asset PMs, not retail speculators.

Risk universe

Any defensible event data can become risk inventory.

Argovis should prove breadth with examples across infrastructure, environment, logistics, grid, conflict and cyber-physical risk.

Data center interruption

ERCOT, EIA, utility outage feeds, heat index, hail radar, facility uptime and backup-power telemetry.

Toxic algae bloom

CyAN, Sentinel, local water agencies, in-situ sensors, tourism closures and raw-water quality thresholds.

Drone / strike damage

FIRMS thermal anomaly, Sentinel imagery, local air-defense alerts, high-resolution imagery and facility reports.

Port disruption

AIS, berth closure, vessel queue, port authority notices, customs throughput and cargo dwell-time data.

Industrial hazard

Fires, chemical plumes, agency alerts, environmental sensors, satellite confirmation and comparable incidents.

Cyber-physical outage

DNS/BGP, public incident feeds, uptime logs, SCADA states, cloud-region disruption and operator attestations.

AI broker network

Agents search the market 24/7 and create deal flow.

Argovis brokers are AI personas supervised by humans. They find risks, assemble evidence, draft outreach and build products faster than a manual specialty brokerage team.

Scout

Finds assets, stress signals, buyer pain and relevant data sources.

Structurer

Turns risk stories into candidate triggers and payout curves.

Underwriter

Builds source hierarchy, replay, basis-risk score and quote evidence.

Capital

Matches qualified investors by mandate, term, peril and max loss.

Settlement

Monitors events, freezes packets and computes payout math.

Example risk inventory

Make the market legible before asking anyone to buy.

The homepage should show the shape of real inventory: who is protected, what parameter resolves, what capital earns, and what the maximum loss is.

Risk Parameter Buyer value Capital view

Texas data center grid interruption ERCOT EEA + outage duration + facility uptime confirmation Liquidity during outage Defined max loss, short term

Reservoir algae bloom Satellite bloom index + agency advisory + persistence threshold Cashflow during closure Environmental risk yield

Port disruption Port closure + vessel queue + cargo dwell-time threshold Contingent BI hedge Logistics-linked event risk

First pilots

Bring us a measurable risk. We will create the parameter.

Argovis is looking for enterprise risk buyers and qualified capital partners for private pilots. The goal is fast proof: asset, parameter, risk file, funding and oracle monitoring.

Strategy framing only. Private risk notes, derivatives, securities, insurance or payment rails require counsel review before live execution.

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