AquaRisk transforms groundwater monitoring data into probabilistic risk intelligence — giving large-scale operators and asset managers the clarity to act before risk materializes.
Groundwater risk is not a geological abstraction — it is a capital allocation problem. AquaRisk quantifies it in terms that boards can act on.
Likelihood that groundwater levels breach critical thresholds within a defined horizon, expressed as exceedance probability across 2,000 simulations.
Monte Carlo engineMaximum expected financial loss attributable to groundwater stress under adverse scenarios, modeled at the 95th percentile confidence interval.
Downside exposure metricProprietary composite index combining exceedance probability, decline rate, proximity to threshold, and forecast volatility into a single 0–100 score.
Proprietary AquaRisk indexLive simulation with real model outputs. No login required — explore the full risk dashboard below.
Simulated data for demonstration. Access the full platform with your own well data.
A ten-stage analytical pipeline that transforms well-level time series into probabilistic risk intelligence and capital optimization guidance.
Three parallel forecasting approaches combined via weighted ensemble for robust, bias-corrected projections.
2,000 AR(1)-correlated simulations per asset generating P5–P95 bands and probabilistic breach timelines.
Four defined scenarios — Baseline, Climatic Stress, Production Expansion, Sustainability — for comparative risk ranking.
Determines the minimum pumping reduction required to achieve a target risk level with quantified confidence.
Scores aggregated across all monitored assets providing a single portfolio exposure metric for executive oversight.
Automated institutional-grade reports with key metrics, visualizations, and structured summaries ready for board presentation.
Submit historical groundwater level data directly via our interactive entry form or upload a CSV. No proprietary sensor required.
Our multi-model ensemble and Monte Carlo engine processes your data through all four scenarios, generating probabilistic forecasts and ACEI™ scores within minutes.
Explore scenario comparisons, uncertainty bands, threshold crossing probabilities, and portfolio-level exposure in a clean executive interface.
Each ACEI™ category carries a specific operational advisory with quantified pumping optimization guidance — from monitoring to immediate capital review.
We trained AquaRisk exclusively on 10 years of pre-drought data from a Kaweah Subbasin well in Tulare County, California — then asked it to forecast what would happen during the 2020–2021 drought resurgence. The model had zero knowledge of what was coming.
Subscription plans designed for agricultural enterprises, industrial operators, and institutional asset managers with material groundwater exposure.
Join operators who have moved from passive monitoring to active, intelligence-driven groundwater risk management.