Fragmented knowledge
Reconnect relevant details dispersed across contracts, technical documents and historic decisions.
WHAT OUR AI DOESFrom information
From information
to intelligence.
Purpose-built AI capabilities for processing documents, understanding private data and informing complex commercial work.
THE COMMERCIAL INFORMATION CHALLENGE
Important knowledge.
Important knowledge.
Dispersed across systems.
Contracts, specifications, historic decisions and market context often live in different places. Lorexa is developed around four recurring barriers to useful enterprise intelligence.
Time-intensive research
Reduce repeated reconstruction of commercial context through structured analysis and sourced information.
Specialist complexity
Interpret sector language, product requirements and transaction-specific constraints.
Decision visibility
Surface exceptions, risks, potential alternatives and evidence for human review.
CAPABILITIES
Intelligence that works with context.
Rather than separating AI from everyday operations, Lorexa focuses on the way commodity businesses use information.
Document intelligence
Read supported commercial documents, surface important fields, compare files, and flag information that requires review.
Connected data reasoning
Answer permitted questions about private trading records through an application layer that supplies relevant data as evidence.
Trade and risk analysis
Work with supplied quantities, prices, terms and constraints to support clear calculations and commercial comparisons.
Evidence traceability
Where the source pipeline supports it, identify documents and locations behind a finding instead of offering unsupported certainty.
Domain-specific boundaries
Keep each AI specialized in the documents, commodities and trading workflows relevant to its market.
Research with sources
Where an approved research connection is enabled, retrieve current, sector-relevant information with references for review. Data freshness and coverage depend on the source.
INFORMATION FLOWHow a question becomes
How a question becomes
a grounded response.
The model is one component of a larger engineered system. Inputs, permitted records, validation and application rules are equally important.
1. Bring the question and evidenceTrade question, supported documents and selected records
2. Retrieve and interpretDocument processing, structured data and domain-specific tools
3. Reason and validatePrivate model inference, rules and consistency checks
4. Respond with appropriate limitsFindings, evidence, uncertainties and next review steps
TWO TYPES OF INFORMATIONPrivate company data.
Private company data.
Public market context.
These require different access and security controls. Lorexa separates customer-sensitive information from approved public research connections, when those connections are configured.
Source-aware research is part of the Lorexa AI capability strategy; specific live connections, datasets and retrieval controls must be confirmed for each deployment. Research is not an unrestricted browsing guarantee.
Technology & Security
Trusted context. Structured decisions.DOCUMENTS / PRIVATE DATA / RESEARCH
FREQUENT QUESTIONS
Practical answers about Lorexa AI.
Can the AI read uploaded files?
The lead Energy & Petrochemicals system is being developed and tested for supported documents such as commercial PDFs. Quality varies by format, extraction status and available evidence; important findings must still be reviewed.
Can the AI use our own database?
The current development architecture can work with supplied database evidence through a controlled application. A customer deployment requires its own access rules, validation and integration design.
Does Lorexa send our documents to public ChatGPT?
The intended core architecture uses privately hosted model inference rather than consumer AI chats. Exact storage, network routes, sub-processors and data controls must be confirmed for each deployment.
Does the AI access live commodity-market websites?
Approved research access may retrieve current sector information and source references. Availability varies by deployment and does not guarantee a real-time licensed price feed or independently verified market quote.
Can it make trading decisions for us?
Lorexa AI provides decision support, not an autonomous trading authorization. Traders remain responsible for due diligence, approvals, legal obligations and commercial judgments.
HUMAN-LED DECISIONS
Structured outputs, not autonomous approvals.
Reports, comparisons and suggested actions are prepared for authorized people. Commercial judgments, contractual commitments and transaction approvals remain with your team.
TRAINED ON YOUR WORKFLOWS, GROUNDED IN YOUR DATA
An AI system that understands your business.
Lorexa configures the system for each client’s products, operational terminology, relevant documents and authorized database records. The result is company-specific context for responses and analysis, rather than a generic assistant that guesses at your workflows.
Approved data retrievalDocument structure adaptationIndustry reasoning controlsEvidence-led answers
Ready to bring intelligence into your commodity business?
Discuss your workflows, data, and goals with the Lorexa team.