Erode provides an AI‑powered platform that converts massive streams of meteorological data into probabilistic, location‑specific weather forecasts and derived outcome predictions such as clean‑energy generation, crop yields, and logistics risk. By delivering scenario‑based insights through an API and dashboard, it enables enterprises in energy, agriculture, logistics and similar sectors to integrate actionable weather intelligence directly into their operational workflows.
Funding
$325K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
FVFounders
Product
Problem
Businesses increasingly depend on accurate weather information to plan operations, but traditional forecasts are often coarse, delayed, and lack actionable insight into weather‑derived impacts on specific processes.
Solution
Erode delivers an AI‑powered platform that transforms raw meteorological data into probabilistic, location‑specific forecasts and derived outcome predictions such as clean‑energy generation, crop yields, and logistics risk. The system ingests billions of data points each month, applies machine‑learning models to generate multiple scenario forecasts, and presents results through an API and dashboard that can be integrated into existing workflows. By quantifying uncertainty and linking weather variables to business‑relevant metrics, Erode enables teams to make proactive, data‑driven decisions without waiting for conventional forecast updates.
Target Audience
Primary customers are enterprises in energy, agriculture, logistics, and other sectors where weather directly influences operational performance and planning.
Features
- AI-driven probabilistic forecasting covering temperature, wind, precipitation, humidity, and solar irradiance
- Customizable regional and horizon settings to focus on specific sites or supply‑chain nodes
- Outcome modeling for clean power generation, agricultural productivity, and other weather‑sensitive processes
- High‑volume data processing (over 3 trillion data points monthly) to ensure up‑to‑date inputs
- API and dashboard access for seamless integration with enterprise systems and decision‑support tools
- Scenario analysis tools that evaluate multiple weather futures to support risk assessment and contingency planning