Recast Systems

Recast Systems provides end-to-end sensing, modeling, and operational infrastructure that enables precise weather modification for clients such as governments and large-scale agricultural operators.

Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Cloud seeding has been used for decades, but precise targeting of precipitation and reliable verification of outcomes remain unsolved, limiting its effectiveness for drought mitigation, flood prevention, and other climate-critical applications.

Solution

Recast Systems delivers an end‑to‑end atmospheric intervention stack that combines custom optical sensors, biodegradable ice‑nucleating protein tracers, and continuous machine‑learning feedback to turn weather modification into a data‑driven, closed‑loop process. High‑density sensing maps supercooled liquid water fields at a fraction of traditional costs, while visual biological tracers provide direct attribution of rainfall origin. Real‑time model updates ingest sensor and tracer data, enabling adaptive control of cloud‑seeding missions to achieve targeted precipitation or temperature adjustments in specific regions. The platform integrates hardware, wetware, and software into a unified operating system that can be deployed by governments and large‑scale agricultural operators to reduce drought risk and improve water resource management.

Target Audience

Primary customers are government water agencies, hydroelectric utilities, and large‑scale agricultural operators that require precise, verifiable weather modification to manage water resources and protect against extreme weather events.

Features

Proprietary optical sensors that detect supercooled liquid water at 1/500th the cost of incumbent systems, allowing dense, wide‑area deployment
Biodegradable ice‑nucleating protein tracers that visually mark precipitation origin for direct verification
Closed‑loop machine‑learning feedback that continuously refines models using sensor and tracer data for low‑latency operational adjustments
Integrated hardware, wetware, and software stack forming a real‑time operating system for precise weather control
Capability to address multiple climate‑critical use cases, including flood prevention, drought mitigation, hail suppression, and fog dispersion