Document review
Interpret agreements, information sheets, invoices, certificates and shipping paperwork.
LOREXA AI / ENERGYEnergy & Petrochemicals.
Energy & Petrochemicals.
Built for trade intelligence.
Lorexa AI’s first commercial specialization is oil and gas, developed for petroleum terminology, product specifications, contracts, research and structured commercial review.
Core developed · validatingTHE LEAD LOREXA SYSTEMUnderstand your trade.
Understand your trade.
Not just your question.
Commercial intelligence requires product specifications, quantities, contractual terms, obligations, approvals and the relationships between trade records—supported by current sector research when approved sources are connected.
- Read and analyze commercial PDFs and supporting documents.
- Use appropriately supplied database evidence for targeted questions.
- Assist with commodity-specific calculations and risk-oriented reasoning.
- Surface missing details and items that require trader verification.
Physical trade, understood.ENERGY / PETROCHEMICALS
SPECIALIZED WORKFLOWS
Designed for commercial complexity.
Database Q&A
Query authorized trade and operational records through a controlled application layer.
Trade reasoning
Compare commercial alternatives, product requirements and documented terms; prepare a structured analysis for a trader to review.
Review discipline
Distinguish cited evidence from assumptions, surface open questions and preserve human authority over approvals and decisions.
ILLUSTRATIVE PETROLEUM WORKFLOW
An EN590 review, step by step.
From the product requirement to a review-ready summary. These are example analysis stages, not an automated trading instruction.
Review specifications
Read quality criteria, quantity and technical terms.
Research market context
Retrieve relevant current sector information through approved sources.
Compare commercial terms
Check contract requirements and flag documented differences.
Prepare analysis summary
Organize findings, sources, limitations and next human checks.
Illustrative workflow based on the corporate profile. Availability depends on source connections, document support and deployment configuration.
ILLUSTRATIVE EXAMPLE
From documents to an actionable review.
A trader can ask the system to compare available evidence and explain where attention is needed.
EXAMPLE / SYNTHETIC DOCUMENT DATA
“Do the cargo quantities in the contract and the Bill of Lading match?”
Quantity difference identified
In this illustrative case, the contract specifies 1,000 MT and the Bill of Lading shows 980 MT. The 20 MT difference requires review against shipment documentation and contract tolerances.
Contract · page 3Bill of Lading · page 1Trader verification required
This example uses fictional data. It does not represent a live trade, a verified customer document, or a guaranteed AI output.
INDUSTRY FOCUS
Commodity-specific by design.
The system is designed to operate in the energy and petrochemicals domain instead of serving as an unrestricted general-purpose chatbot.
Explore private AI for your energy business.
Tell us about the energy workflows and information sources you want to make more useful.