Start where you Are. Scale when you’re ready.
We deliver high-accuracy price forecasts and a decision-intelligence platform to help procurement, finance, and commodity teams navigate volatility with confidence.
Two ways to apply AI in Commodity Management
Forecasting as a Service
Get highly accurate commodity price forecasts — delivered as a managed service.
We handle data sourcing, modeling, and automation.
You receive ready-to-use forecasts via Dashboard, API, CSV, or Email.
Commodity Intelligence Platform
A decision-intelligence platform for monitoring, analyzing, and communicating commodity markets.
Real-time dashboards, alerts, event intelligence & collaboration tools.
Forecasting can be added anytime.
High-Accuracy Commodity Price Forecasts. Without Building a Data Science Team.
We take care of data acquisition, modeling, backtesting, and day-to-day operation. You receive accurate forecasts and market signals in the format your organization already works with.
A practical, low-risk way to adopt AI.
FAQ – Forecasting as a Service
We benchmark models using rolling out-of-sample backtests (e.g., sMAPE, MASE) and compare results against baseline and analyst/market consensus. Accuracy improves continuously as more data and event insights are collected.
Yes. We identify, evaluate, and maintain external data feeds, including licensing and SLAs. If you have internal data sources, we integrate and harmonize them as part of the pipeline.
A typical engagement runs 6–12 months. The first usable forecasts are usually available after 4–8 weeks, depending on data availability and scope.
We work across energy, metals, chemicals, agriculture and more. If your market has data and structure, we can model it — and if not, we tell you upfront.
Via dashboard, API, CSV/Email, SFTP, or direct data warehouse sync — whatever best fits your workflows.
No. We operate forecasting pipelines, model monitoring, tuning, and updates for you as part of the service.
Yes. Forecasting can be added to the Commodity Intelligence Platform at any time. Many clients start with FaaS and scale into CIP later.
Pricing is based on data availability, number of commodities/entities, and forecast frequency / horizon. We provide a transparent scoping and cost estimate before the project starts.
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A conversation to begin - Let's explore what's possible
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