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.
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.
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.
Our Forecasting Capabilities
We take care of data acquisition.
We identify, license, clean and maintain all required market, macro and internal data feeds — including quality checks and monitoring.
Reliable, automated data pipelines.
Continuous ingestion, normalization, gap-filling and validation — ensuring every forecast is built on consistent, trusted data.
Market events detected and quantified.
Our models include news-driven signals and event impact scoring to explain why markets move — not just what the price will be.
Model ensemble for higher accuracy.
We combine multiple models (e.g. PatchTST, N-BEATS, classical baselines) and tune them across rolling backtests for stable performance.
Every forecast comes with reasoning.
We provide driver attribution, confidence bands, scenario views and impact factors — supporting transparent, defensible decisions.
Delivered in the format your team already uses.
Dashboard, API, CSV, email, SFTP, data warehouse sync — whatever fits your workflow and system landscape.
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.
Get forecasts you can rely on.
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.
A conversation to begin - Let's explore what's possible
No obligations, just a conversation.
