Nebumi aggregates global satellite observations and applies a physics‑based AI layer to deliver trusted, decision‑ready methane intelligence. The platform detects and quantifies methane plumes worldwide, attributes emissions to specific assets, and provides explicit confidence scores and uncertainty metrics along with timely alerts. This vendor‑neutral, explainable data enables regulators, ESG authorities, and operators to verify compliance, reduce emissions, and act quickly on leak events.
Funding
Funding not disclosed
Founders
Product
Problem
Satellite observations of methane suffer from coarse resolution, inconsistent coverage, and frequent false positives, leaving regulators and operators without reliable, asset‑level emission data. This uncertainty makes it difficult to validate, act on, or report methane emissions accurately.
Solution
Nebumi aggregates global satellite data from multiple providers and applies an independent, physics‑based AI layer to convert raw observations into trusted, decision‑ready methane intelligence. The platform detects methane plumes worldwide, quantifies emission rates over time, and attributes sources to specific infrastructure. Each insight includes explicit confidence scores and uncertainty metrics, enabling transparent verification. Timely alerts are generated when significant leaks are identified, guiding rapid response. By delivering vendor‑neutral, explainable results, Nebumi empowers users to monitor compliance, reduce emissions, and demonstrate environmental stewardship at scale.
Target Audience
Primary users are regulators and ESG authorities responsible for emissions compliance, as well as energy, infrastructure, and other operators needing reliable methane monitoring and leak detection.
Features
- Multi‑source satellite data integration for comprehensive global coverage
- Physics‑based AI algorithms that detect methane plumes with transparent confidence levels
- Quantitative emission rate estimation and trend analysis over time
- Attribution engine linking detected emissions to likely facilities or assets
- Automated alert system delivering verified, explainable notifications of new leaks
- Explicit uncertainty reporting for each measurement to support validation
- Vendor‑neutral intelligence that remains independent of any single data provider