Document intelligence
Extract important terms, compare files and identify gaps in trading documentation.
AI FOR GLOBAL COMMODITIESCommodity
Commodity
intelligence.
Engineered with AI.
Lorexa develops specialized AI and connected enterprise applications that interpret documents, analyze approved business information, research market context and support human commercial decisions.
Private inference · Evidence-led thinking · Client-specific intelligence
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Purpose-built for commoditiesFocused systems, not general-purpose chat
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Private-model architectureInference designed for controlled deployment
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Evidence before answersBuilt around documents, data and review
THREE SPECIALIZED AI SYSTEMSBuilt for the markets
Built for the markets
that move the world.
Lorexa's AI systems share a common engineering philosophy while focusing on the language, documents and decisions of their respective commodity industries.
Core developed · validatingLOREXA / 01
Energy & Petrochemicals AI
Oil-and-gas-first intelligence for specifications, sourced sector research, contract analysis and structured commercial review.
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In developmentLOREXA / 02
Precious Metals AI
A developing intelligence system for commercial workflows in gold, silver and related markets.
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Coming soonLOREXA / 03
Industrial Commodities AI
The next planned specialization for base metals, industrial materials and physical trade.
Explore productCORE CAPABILITIESMore than answers.
More than answers.
Intelligence for action.
Industry specialization meets document understanding, company-specific records, sourced research and disciplined commercial reasoning.
Private data reasoning
Ask questions using authorized information from connected operational databases.
Commercial analysis
Assist with calculations, scenarios, risk interpretation and trading decisions.
Research with sources
Retrieve relevant current sector information through approved research connections, with traceable references where configured.
Capabilities depend on the approved deployment and connected research services. Public information does not replace human verification or a licensed market-data feed.
BEYOND THE AI MODEL
Intelligence meets
Intelligence meets
enterprise applications.
Our corporate technology strategy extends beyond question-answering. Lorexa develops trading workflows and controlled commodity networking applications that connect information to commercial processes.
01 / SOFTWARE APPLICATIONSDeveloped workflows · Validation pending
Enterprise Trading Systems
Structured flows from trade origination and approvals through execution, logistics, banking, insurance, and close-out.
OriginationTrade controlExecutionClose-out
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02 / DIGITAL COMMODITY NETWORKBuilt · Private beta
Lorexa Commodities Platform
Structured buyer/seller requirements, participant review, compatibility matching and controlled commercial introductions.
RequirementsReview & matchIntroductions
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Trading-system production validation is pending. The commodities network is a private beta; participant checks are not substitutes for independent transaction due diligence.
FROM DOCUMENTS TO DECISIONSYour business information.
Your business information.
Made useful.
The value isn't in asking an AI a generic question. It's in asking it about your own contracts, shipments, transaction records and commercial information—and getting a response grounded in evidence.
- Understand an uploaded contract, certificate, invoice or Bill of Lading.
- Compare a requirement against documented terms and flag inconsistencies.
- Understand company-specific records, explain commercial calculations, and cite the evidence behind recommendations.
Source documents
＋ Data context
＋ Controlled reasoning
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Commercial observations
＋ Data context
＋ Controlled reasoning
────
Commercial observations
Built around real workflowsGLOBAL COMMODITY INTELLIGENCE
PRIVATE BY DESIGNIntelligence without
Intelligence without
giving away control.
Our architecture centers on privately deployed language-model inference and controlled access to business information—not routing confidential client material into consumer AI chats.
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ILLUSTRATIVE GLOBAL ROUTES
Private inference
Use privately hosted language models rather than public chat interfaces for core processing.
Controlled access
Access to documents and database information is governed by the deployment design.
Separated research
Public-web retrieval is being designed as a separate path from private customer data.
HOW WE BUILD FOR EACH CLIENT
AI engineered for industry-specific thinking.
Each implementation is configured to understand the client's information environment, with permissions and retrieval grounded in their own trusted data.
01
Understand the industry
Start with commodity terminology, transaction workflows, trade documents and commercial constraints.
02
Learn each client's data environment
Each deployment is configured around a client’s authorized teams, services, data structures, document formats and approved records—so responses use company-specific context while review decisions stay with people.
03
Test against real workflows
Validate reasoning, document interpretation and operational usefulness before expanding to new markets.
The next move in commodities is intelligent.
Explore what specialized AI could do for your trading, documents and operating data.