Hurricane wind cover
Small business cover paying on wind speed near the insured location.
A parametric policy is only as good as the number it pays on. Agnotic Technologies builds the trigger definitions, data feeds and payout logic, on a blockchain or a conventional rules engine, so every payout can be traced to the reading that caused it.
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Parametric insurance software is the system that defines an index trigger, reads the data source that reports it and calculates a predefined payout when the trigger is met. Agnotic Technologies builds it for carriers, MGAs and reinsurers: trigger configuration, data feed checks, payout logic as smart contracts or rules, and a full audit trail.
Rarely in the payout formula. Usually in the data around it.
The policy wording names a data source, but the code reads a different product from the same agency.
A feed publishes a preliminary value and later revises it, and the system has already paid on the first number.
The feed goes quiet during the very event the cover exists for, and there is no rule for what happens next.
The trigger is measured at one point while the insured's loss spreads across a site, and the buyer was never shown the gap.
A smart contract has no pause or upgrade path, so a bug found after launch cannot be fixed safely.
A reinsurer asks how a payout was calculated, and the answer is a spreadsheet.
We complete this table with your product and actuarial teams for every trigger. The data source column must match the policy wording exactly, including the product and version.
| Trigger type | Typical data source | When the value arrives | What can go wrong |
|---|---|---|---|
| Wind speed at a location (hurricane) | A named meteorological agency product, such as National Hurricane Center advisories or its post-analysis best track | Advisories during the storm; the best track after post-storm analysis | The two products can differ, so the wording must say which one counts; basis risk when the site sits away from the track |
| Earthquake shaking intensity | A seismic network product such as USGS ShakeMap | Near real time after a significant earthquake | If the agency publishes a revised map, the wording must say which version counts; shaking at the grid point can differ from the building |
| Rainfall over a period (drought or flood) | Gauge networks or satellite rainfall estimates from a named provider | Daily, or at the end of the measurement period | Gauge outages, gaps filled by estimates, and grid cells that do not match the farm or site |
| Flight delay | Flight status data from a named aviation data provider | Shortly after the scheduled arrival | Feed outages, retimed schedules and cancellations that need their own rule |
Sometimes. The choice depends on who has to trust the calculation, not on the technology.
Fits most carrier and MGA products. Payout tables sit in a versioned rules service, payments go through normal banking and the audit trail lives in your database.
Fits when several parties, such as a pool of insurers or a development partner, must see the same calculation without trusting one operator. It needs an oracle design, an audit and pause controls.
Readings and calculations are anchored on-chain while payment runs through banking rails. Useful when transparency matters but policyholders do not hold wallets.
Our smart contracts services for insurance sit inside this list. General blockchain engineering for finance is covered on our blockchain software development page.
Index, location or area, thresholds, payout table, data source and product version, each with effective dates.
Agency APIs and files read on a schedule, with raw values stored exactly as received.
Latency, gaps and revisions tracked per feed, with alerts to the calculation agent.
Signed readings submitted to a contract, from more than one source where the wording allows.
Rules service or smart contract, tested against the same event history either way.
A map of the trigger location against the insured site and a plain explanation shown at sale.
Role-based admin, pause, timelocked upgrades and an independent audit before launch.
Event, reading and payout reports for reinsurers and regulators from the same records.
The path we build for every event. Each step writes a record a reinsurer can follow.
The calculation agent's monitor sees a qualifying event in the named source and opens an event record.
The raw value, source, product version and timestamp are stored with a hash, so the reading cannot change silently.
Completeness, plausibility and the revision window are checked, and the feed outage rule applies if data is missing.
The rules engine or smart contract applies the payout table in force for that policy.
Where your process requires it, a claims person approves before payment goes out by bank transfer or on-chain.
Picked per product, with the policy wording deciding the data source.
Measures on the calculation agent's dashboard.
Time from the event to a usable reading from the named source.
Readings revised by the source after capture, by feed.
Events waiting on completeness or revision checks.
Payouts released, by product and event.
Each starts with one trigger, one data source and one payout table.
Small business cover paying on wind speed near the insured location.
Homeowner or SME cover paying on shaking intensity at the site.
Drought or excess rain cover sold through a distribution partner.
Cover sold at checkout that pays when a flight arrives late.
Cover for outdoor events against rain on the day.
An insurtech startup's first parametric product, built so a fronting carrier and reinsurer can audit it.
Data comes in from named sources; payouts and reports go out to insurers, partners and reinsurers.
If payouts run on-chain, we treat these as release gates, not nice-to-haves.
We build secure, scalable products designed for privacy, interoperability, and regulatory readiness from day one across every sector we serve.
Implement lawful consent flows, data minimization, and secure processing for global data privacy.
Verified controls for security, availability, and confidentiality of enterprise data systems.
Adhering to the international gold standard for managing information security risks.
We combine deep technical expertise with industry-specific knowledge to deliver solutions that aren't just functional, but transformational.
We implement rigorous security protocols and compliance standards (HIPAA, GDPR, SOC2) across all industrial solutions to protect sensitive data.
Our architectures are built to handle massive data loads and user bases, keeping performance steady whether you're serving ten or ten million.
Using our suite of internal tools and proven frameworks, we cut setup work so your first release reaches users sooner.
Beyond simple wrappers, we build deep-learning integrations and predictive analytics directly into the core of your industry-specific workflows.
We start from the policy wording and the data source it names. We agree a fixed first release on the scoping call.
The product, the trigger, the data source and whether payouts run on-chain.
Thresholds and payout tables from your actuaries, mapped to the exact data product.
Past events run through the logic to show which would have paid.
One trigger, one product, monitored end to end.
Feed health, revisions and payouts watched under agreed support.
Short facts we design around, each linked to its primary source.
The BIS Financial Stability Institute and the IAIS describe a parametric index as an objective measure reported by an independent third party, neither the insured nor the insurer, and correlated to the insured financial loss.
Source: BIS FSI and IAIS, FSI Insights No. 62, Uncertain waters (December 2024)Basis risk occurs when a parametric index does not perfectly correlate with the insured's actual losses, and can come from data quality, geographical granularity, model accuracy, policy structure and temporal granularity.
Source: BIS FSI and IAIS, FSI Insights No. 62, Box 2USGS ShakeMaps, produced by the Earthquake Hazards Program with the regional seismic networks, provide near-real-time maps of ground motion and shaking intensity following significant earthquakes.
Source: U.S. Geological Survey, ShakeMapThe National Hurricane Center's Tropical Cyclone Reports include the post-analysis best track of six-hourly positions and intensities, and its HURDAT2 dataset gives six-hourly location, maximum winds and central pressure in a comma-delimited text format.
Source: NOAA National Hurricane Center, Data ArchiveThe OWASP Smart Contract Top 10 (2025) lists access control vulnerabilities first and price oracle manipulation second, describing how tampering with or controlling oracle feeds can change contract logic.
Source: OWASP Smart Contract Top 10We don't just build products; we forge lasting partnerships. See how we've helped industry leaders transform their vision into technical reality.

“I can clearly see how Agnotic has a unique way of handling end-to-end development. They are always active on quick chat and provide support quickly.”
Aaron Phelan
Founder, Benchmark

“Agnotic combines deep technical expertise with strong domain knowledge. They understand the business context, anticipate challenges, and make collaboration smooth and effective.”
John Pasmore
Founder, Latimer
“Agnotic is the best technical team we evaluated. Their engineering excellence made our work dramatically easier and allowed us to stay focused on what matters most for maternal care outcomes. They took full ownership of the technical execution, and we are always happy to continue working together.”
Kim Smith
Founder, My Lauren
This page covers parametric triggers and payouts. These pages cover the work around them.
Smart contracts, custody and settlement for financial services.
Policy, rating and filings for indemnity P&C products.
Low-cost cover sold through partners, often with index triggers.
Our wider insurance practice for carriers, MGAs and startups.
Explore other production-grade engineering platforms we deliver across insurtech.
The technical patterns behind this platform translate naturally into adjacent verticals.