AI where it genuinely helps
AI is neither magic nor a headline in commodity trading, it is a set of tools that help in specific places and mislead in others. Gravitas applies AI to concrete problems on top of governed, lineage-tracked data, and is deliberately honest about where human judgment still has to lead.
Governed data first, AI second
Every useful AI application in trading depends on the same foundation: trustworthy, governed data. A model trained or prompted on inconsistent numbers inherits the inconsistency. That is why the single governed data model and the BI & OLAP marts matter more, not less, in an AI-enabled operation, they are what makes AI output reliable rather than confidently wrong.
Legacy landscapes stitch separate systems together and reconcile between them; a modern ETRM puts every function on one governed model, so numbers agree by construction.
Concrete applications, not hype
Data operations
Classifying, matching, and cleaning trade and reference data, the unglamorous work where machine learning genuinely reduces manual effort.
Anomaly detection
Surfacing unusual trades, prices, positions, or settlement breaks that a human might miss in the volume, flagging, not deciding.
Assistance
Summarizing, drafting, and answering questions over governed data, so the desk spends less time hunting for information.
Document intelligence
Extracting structure from confirmations, contracts, and unstructured documents to reduce manual re-keying.
What we deliberately keep human
Pricing, risk limits, and regulatory reporting demand explainability and auditability. AI can assist around these, but the numbers of record come from transparent, inspectable models on governed data, see how the quant engine is calculated, with human judgment accountable for consequential decisions. In a trading and risk context, a confident but unexplainable answer is worse than no answer.
We only publish what’s real
This page describes how Gravitas approaches AI, not a list of buzzwords. We deliberately avoid claiming AI features that aren’t live or on a committed roadmap, in trading and risk, that distinction matters. Capabilities are described here as they become real. For the fuller argument, read our perspective on AI in commodity trading.
AI questions
Does Gravitas use AI for pricing and risk numbers?
The numbers of record come from transparent, inspectable models on governed data, not a black box. AI assists around them (data operations, anomaly detection, assistance) but does not replace explainable, auditable methodology for pricing, risk, and regulatory reporting.
Why do you emphasize governed data so much for AI?
Because AI is only as reliable as the data underneath it. A model trained or prompted on inconsistent data produces confident but wrong output. The single governed model and lineage-tracked marts are what make AI trustworthy in a trading context.
Is this real or roadmap?
We describe how Gravitas approaches AI and the concrete areas where it applies. We deliberately avoid publishing pages for AI features that aren’t live or committed, that honesty matters in trading and risk.
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A walkthrough of where AI genuinely helps on your own governed data, and where transparent methods lead.