Priax.ai offers an AI-powered platform for quantitative commodity price prediction and analytics. Our system generates detailed, data-driven reports with future price projections and probability bands, enabling commodity traders and analysts to make more informed investment decisions.
Funding
Funding not disclosed
Founders
Product
Problem
Commodity market participants often face challenges due to incomplete or outdated information, hindering their ability to make accurate and consistent trading decisions. This lack of timely and comprehensive data can lead to increased risk and suboptimal investment strategies.
Solution
Priax.ai provides an AI-powered platform delivering quantitative commodity price prediction reports and analytics. Our system leverages advanced artificial intelligence and multi-variable analysis to generate more accurate representations of industry context, aiming for 100% quantitative information with minimal human bias. We offer detailed insights into future commodity prices, enabling users to make more informed investment decisions and refine their trading strategies. The platform provides clear, relevant, and updated information in a simple graphical format, designed to save time and improve decision-making accuracy.
Target Audience
Our primary customers are specialist managers, analysts, and commodity traders who require precise, data-driven insights to navigate price fluctuations and optimize their investment strategies.
Features
- AI-driven price prediction models for commodities including coffee, copper, soybeans, and iron ore.
- Generation of annual price projections with weekly frequency, based on 20-year historical price data.
- Inclusion of expected weekly price charts for a 12-month horizon, with 95% and 99% probability bands.
- Calculation of expected price at the end of the projected year and identification of maximum/minimum prices within the projected path.
- "Commodity Dashboard Report" offering full access to AI capabilities, including price awareness tools, radar graphs of context variable incidence, and densified prediction frequencies (daily predictions).
- "Commodity Pro View" providing weekly reports with advanced analytics, including standard deviation as a percentage of the initial price and consistency data of projected price bands.
- Back-logging of price history and price bands for historical analysis.
- Ability to incorporate client-specific data to enhance prediction accuracy.
- Price sensitivity analysis with respect to context variables and scenario generation capabilities.