AI-Powered Trade Intelligence

The Intelligent Decision System for Energy Trading

TraWis unifies market intelligence and enterprise operations into a single AI-powered decision layer, helping energy traders act faster, manage risk better, and capture more value.

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Predictive Intelligence

Turn Market Signals Into Confident Action

Combine pricing, weather, geopolitical, operational, and risk signals to identify opportunities before they become obvious.

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One Platform. Multiple Workspaces.

Built for Every Trading Function

Give traders, risk managers, schedulers, and pricers a shared intelligence layer with role-specific recommendations and governed workflows.

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The Challenge

The Energy Market Trades in Trillions. Decisions Still Run in Silos.

Critical trading intelligence remains fragmented across ETRM platforms, ERP systems, spreadsheets, and workflows, making it harder to act with speed, confidence, and visibility.

Fragmented Intelligence

Market, operational, logistics, contract, and risk data remain spread across disconnected systems.

Delayed Decisions

Teams lose valuable time gathering, validating, and reconciling data before they can act.

Limited Visibility

Exposure, position, margin, and operational constraints are often viewed through separate reports and workflows.

Manual Execution

Spreadsheet-heavy workflows slow down approvals, increase inconsistency, and make decision trails harder to audit.

Meet TraWis

The Intelligent Decision System Across Your Enterprise Applications and External Market Data.

Predictive signals, recommended actions, confidence scores, risk alerts, and audit-ready decision trails, all unified in a single AI-powered intelligence workbench.

Predict

Price Insights, spreads, and market movements.

Recommend

Generate buy, sell, hedge, and risk actions.

Execute

Initiate governed workflows back into ERP and CTRM systems.

Product Preview

Built for the Modern Trading Desk

Predictive signals, recommended actions, confidence scores, risk alerts, and audit-ready decision trails unified in a single AI-powered intelligence workbench.

Predictive pricing insights
Buy, sell, and hedge recommendations
Explainable AI reasoning
Audit-ready decision trails
Real-time aggregation of trading-critical data

From Trusted Prediction to Governed Action

Layer 1

Pricing Insight Engine

Forecasts commodity prices using market, weather, geopolitical, and operational signals.

Layer 2

Data Core Platform

Unifies internal and external data into a single trusted source for decision-making.

Layer 3

Agentic AI Recommendation Layer

Generates explainable recommendations and governed workflows tailored to trading operations.

The TraWis Differentiators

Built to Work With Your
Existing Landscape

TraWis sits above your ETRM/CTRM, ERP, and other operational systems, unifying data without requiring rip-and-replace transformation.

High-Accuracy Prediction

Commodity forecasting informed by market, weather, geopolitical, and operational signals.

Holistic Trade Context

Coverage across the internal and external parameters that shape trade outcomes.

Pre-Built Integration

Synchronous API-based connectivity with enterprise and operational applications.

Scalable Data Foundation

Structured, annotated data designed for high-volume machine learning and decision models.

Plug-and-Play Adoption

Start with a focused use case and scale without disrupting existing operations.

Why Now?

The Cost of Waiting Is Growing

Market volatility, geopolitical uncertainty, weather disruptions, and operational constraints are reshaping commodity markets faster than legacy systems can respond.

$69B¹

Global Commodity Trading Profit Pool

Global commodity-trading EBIT remained substantial in 2025, reinforcing the scale of the value available to organizations with advanced trading capabilities.

More than $30B²

Value-Chain Optimization Opportunity

Broader implementation of value-chain optimization could improve trading, refining, and downstream performance by more than $30 billion annually.

Every Hour Matters

Decisions Delayed Are Margins Lost

Weather, geopolitical shifts, logistics disruptions, and volatility can change trading outcomes in minutes, not days.

¹ Source: McKinsey & Company, “At the Threshold of a New Era in Commodity Trading,” March 2026 . McKinsey reports total commodity-trading EBIT of $69 billion in 2025.

² Source: McKinsey & Company, “How to Capture the Next S-Curve in Commodity Trading,” February 2025 . McKinsey estimates that widespread value-chain optimization could improve trading, refining, and downstream P&L by more than $30 billion annually.

Business Impact

Measured in Margins, Speed, and Risk Reduction

40–50 %

Faster decisions

2–4 %

Margin improvement

20–25 %

Reduction in exposure risk

Up to 25 %

Less manual effort

Trusted Expertise

Built by Energy Operators, Enterprise Architects, and AI Specialists

TraWis was created by leaders who have spent decades solving complex challenges across energy trading, enterprise technology, and applied artificial intelligence. We built TraWis because the future of energy trading requires an intelligent decision layer that connects market intelligence, operational realities, and enterprise execution.

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Ready For A Walk-Through?

See How TraWis Turns Signals Into Decisions

Discover how energy trading teams can unify intelligence, reduce risk, and act faster with TraWis.

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