Extreme-weather intelligence · United States
Plansyx turns satellite observation, weather data and AI into forward-looking drought, wildfire and flood intelligence — for insurers, utilities and the people in the path.
Pixel-level ignition likelihood, forecast ahead of the fire.
North America · active fires over dryness
Our hazards
Drought, wildfire and flood share the same physics and the same data spine. Plansyx builds each as a product line on one prediction engine.
AI-powered drought risk intelligence and parametric insurance infrastructure. Plansyx provides the science underneath a policy; the carrier provides the capacity.
Wildfire Intelligence for Society and Ecosystems. Dynamic fuels, daily ignition likelihood, rapid spread scenarios and asset exposure in one workflow.
Post-fire debris flow, extreme precipitation and flood exposure — the cascading hazards that follow drought and fire, delivered through the same enterprise layer.
The prediction chain
One integrated chain instead of five disconnected tools. Every risk signal can be traced back to the layer that moved it.
Fuel condition, precipitation, soil moisture and weather, refreshed continuously.
Ignition and drought-onset probability, forecast up to 10 days and a season ahead.
Hybrid physics and AI spread scenarios at sub-daily time steps.
Buildings, corridors, portfolios and expected payout in the path.
Alerts, thresholds, certified triggers and audit-ready exports.
Dynamic fuel intelligence
Spatially explicit fuel load and condition from satellite observation, sub-monthly.
Daily ignition likelihood
Pixel-level wildfire-onset probability from fuels, weather and ignition factors.
Rapid spread scenarios
Fuels, weather, topography, roads, barriers and built environment in one model.
Trigger optimization
Searches trigger space for the structure that tracks real loss within insurer constraints.
Decision delivery
Dashboard, alerts, geospatial API, batch portfolio scoring and model metadata.
The data spine
Hundreds of public indicators already exist. The differentiator is Plansyx's fusion, loss calibration and insurance-ready trigger methodology — resolved to roughly 4 km for drought and 30–100 m for fuels in priority areas.
Plansyx Drought Risk Index, AI-calibrated against economic loss rather than rainfall alone.
The optimization engine searches thousands of trigger combinations for the one that tracks actual loss.
Area of business
Plansyx works across Earth science, climate intelligence, environmental data science and natural hazard risk analytics — serving public, private, nonprofit and individual clients.
Loss-calibrated models behind PDRI™, Ignite10 and the trigger optimization engine.
MODIS, VIIRS, Sentinel, SMAP and ECOSTRESS observation, down to 30–100 m for fuels.
Hybrid physics and AI spread simulation at sub-daily time steps.
Precipitation, soil moisture, vegetation, evapotranspiration and exposure on one spine.
Continuously refreshed fuel condition, drought, soil and weather layers.
Ignition likelihood ten days out; drought onset a season ahead.
Dashboards, alerts, geospatial API, portfolio scoring and audit-ready exports.
Who we serve
Public agencies, private operators, nonprofits and individual landholders — the same intelligence layer, scoped to the decision in front of you.
Underwriting, pricing support, portfolio accumulation, renewal triage and scenario stress testing.
Dynamic hazard inputs, forward scenarios and portfolio-level exposure — with loss modeling and mitigation analytics next.
Ignition and spread risk near assets, vegetation condition, mitigation prioritization and operational readiness.
Daily fuel, ignition and spread intelligence around corridors, delivered by API into existing workflows.
Preparedness, resource pre-positioning, scenario planning and resilience investment.
A shared risk picture, scenario library and site-level exposure for high-credibility public work.
Which grid and interval actually protects this ranch, and where federal cover leaves a gap.
PRF optimization analytics and gap-cover design for farms, ranches and water users.
Packages
A single underwriting, asset-hardening, inspection or preparedness decision can be worth far more than the annual fee.
Monitor
$50k–$90k / yr
Dynamic fuels, current risk layers and alerts. Entry product for agencies, infrastructure and smaller utilities.
Talk to usPredict
$120k–$200k / yr
Monitor plus 10-day ignition likelihood, prioritized spread simulations and the enterprise dashboard and API.
Talk to usPortfolio
$200k+ / yr
High-volume asset scoring, scenario stress tests, custom integrations, SLAs and audit-ready outputs.
Talk to usValidation
High-liability buyers act on evidence. Every Plansyx output ships with calibration, uncertainty and an audit trail.
Historical hindcasts and calibration plots against representative events, not generic accuracy claims.
Confidence and sensitivity travel with every output. Decision support, not command and control.
Versioned datasets, archived algorithms and model cards for regulated, high-liability use.
The integrated chain means a customer can see exactly which layer moved the risk, and why.
No. Plansyx is the independent risk-intelligence, product-design, pricing and trigger-verification layer. Carriers and reinsurers supply the license, capital and payout.
Rainfall alone is not drought. A grower can have reasonable accumulated rainfall alongside extreme evaporative demand, depleted soil moisture and vegetation stress. PDRI fuses precipitation, soil moisture, evapotranspiration, vegetation, temperature and water availability, then calibrates the weights against recorded economic loss.
Roughly 4 km for drought — against the 0.25° grids, about 17 by 17 miles, used historically in federal index programs — and target fuel layers of 30 to 100 m in priority wildfire areas.
The Basis Risk Optimization Engine searches thousands of trigger combinations across SPI horizons, soil moisture, NDVI, evapotranspiration and temperature to maximize correlation between payout and actual loss, subject to insurer constraints on payout probability and expected loss.
Plansyx issues an independent Trigger Certificate for each event. Datasets and algorithm versions are archived so neither insurer nor insured can influence the observation after the fact.
California and the Western U.S. first: Central Valley specialty crops, Western water districts, Texas and Plains ranching, and wildfire-prone utility corridors. National coverage follows the validation work.
Start with one decision
Pilots run 8–12 weeks against your own portfolio, corridor or asset region, backtested on historical events.