Borealis

High-precision modeling of the environment

Combine physics modeling with AI and a variety of input sources for exceptionally detailed data estimates, calculated instantly.

Borealis is Recursive’s technology platform for precision modeling of physical systems in the environment. Our proprietary, hybrid physics AI models combine physics-based knowledge with high-resolution mesh maps to create detailed models and predictions of physical systems such as solar radiation, groundwater levels, and underground pollution spread.

Basics of Borealis

Borealis is a collection of software components, data pipelines, and architectures for physics-based simulations, combining state-of-the-art techniques from academic research and technology breakthroughs.

The system ingests a wide variety of data sources and can fuse together 3rd-party data with your proprietary data and sensors into a high-resolution, geographic mesh. Our proprietary AI models then combine this mesh with physical knowledge and mathematical equations specific to the physical system being modeled, for best-in-class simulations and predictions. The following is a simplified example of the steps involved in a generic simulation.

High-precision accuracy

Borealis is built from the ground up for high-precision without sacrificing speed. Our detailed simulations enable competitive advantages and new business models by de-risk investments and operational activities, by reducing deployment times from years into months, and by reducing the running costs of on-site monitoring.

Borealis enabled one client 7-day groundwater level predictions with 6cm of accuracy for any given 15m² plot of land across 1,200km², despite using monitoring sensors at only 20 locations.

When used for choosing solar panel sites, Borealis de-risks investment decisions by providing significantly higher accuracy estimates of solar energy output for a specific location, as well as the historical variance of solar radiation. While investment decisions traditionally required a trade-off between speed and accuracy, Borealis reduces the multi-week process of manual calculations down to a near-instant process, enabling teams to consider and compare multiple candidate locations in ways previously impossible.

Use Cases

Borealis powers use cases across a variety of industries, modeling diverse physical systems including water, solar, wind, and vegetation.