The startup develops a database platform that utilizes machine learning and computer vision to deliver near real-time insights on economic indicators. By integrating satellite imagery data, the platform provides clients with immediate visibility into production metrics for key commodities.
Funding
$1M 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.
IFounders
Product
Problem
Commodity traders, hedge funds, and downstream companies face challenges in obtaining timely and accurate data on commodity supply chains due to reporting delays, incomplete disclosures, and lack of transparency from various mills, smelters, and mines. Traditional methods of tracking production and inventory levels often rely on infrequent reports and ground-level assessments, leading to information gaps and potential inaccuracies.
Solution
Tathya.earth provides a commodity market intelligence platform that delivers near real-time insights into global commodity supply chains. The platform leverages machine learning and computer vision techniques applied to satellite imagery, AIS signals, and other datasets to monitor key nodes such as mines, ports, and smelters. By analyzing these data sources, Tathya.earth generates high-frequency production, inventory, and mining activity indices, offering clients an early view of supply trends and potential disruptions. The platform's data is accessible through an API and a user-friendly dashboard, enabling informed decision-making in commodity trading, procurement, and risk management.
Target Audience
The primary target audience includes commodity traders, hedge funds, mining companies, banks, downstream companies, and metal producers seeking real-time insights into commodity supply chains.
Features
- Mill/Smelter Production Index: Weekly production tracking for major steel mills and metal smelters globally.
- Stockpile Inventory Monitoring: Near real-time inventory tracking of raw materials like iron ore and coal across major ports, mines, and mills.
- Mining Activity Index: Bi-weekly monitoring of mining activity across key commodity mines, including iron ore, metallurgical coal, and copper.
- Proprietary deep learning algorithms and remote sensing techniques applied to satellite imagery and AIS signals.
- Data delivery through API and platform for seamless integration with existing systems.
- Historical backtested data for model validation and strategy development.
- Coverage of major metal-producing geographies, including China, India, Japan, South Korea, Europe, and the Americas.