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SaaS Was Built to Record. Not to Think.
Traditional SaaS platforms record transactions and manage workflows — but they were never designed to understand commercial risk embedded in contracts, commodity-linked pricing formulas, and index exposure. The complexity is invisible inside your agreements. The cost shows up in your EBITDA. Anyone can upload a contract into a chatbot. Nobody has built a system that can index 4,000 contracts automatically, extract index exposure across all of them, quantify margin at risk in real time, and simulate pricing scenarios at scale. Until now.
Margin Intelligence. In Real Time.
Commercial Cortex AI is the first AI-native Commercial Risk Operating System — built from the ground up to convert contractual complexity, pricing formulas, commodity index exposure, and customer terms into quantified EBITDA intelligence. The platform is self-configuring, rapidly deployable, and aligned to financial outcomes — not user licenses. Very few companies model basis risk properly when most contracts are index-linked. We are changing that with an automated engine for exposure tracking, margin volatility simulation, and index diversification optimization.
Quantifies margin at risk in real time across agreements.
Pricing Leakage Auditor
Contract Intelligence Scanner
Identify which contracts are loss-making under commodity stress. Which lack pass-through clauses. Which have asymmetrical price floors and ceilings. Which allow unilateral customer renegotiation or contain one-way optionality against you.
Built for Industrial Complexity.
We work with industrial companies carrying commodity exposure across metals, chemicals, mining, recycling, and battery materials. As well as private equity portfolio companies and CFO and CCO offices that need real-time commercial risk visibility — not another dashboard that tells them what already happened.
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Commercial Cortex AI
Built for commercial complexity. Designed for financial outcomes.
Why can’t I just upload 20 contracts into a large language model and answer my CFO’s questions?
Because LLMs alone aren’t built for financial-grade reliability. With 20+ contracts, amendments, and invoices, models can: • Miss tables, schedules, or key clauses • Give inconsistent answers to the same question • Sound confident without being fully complete That’s not acceptable for CFO-level decisions. Finance needs repeatability and an audit trail: “Exactly which clause did this come from?” To achieve that, contracts must first be converted into a standardized, structured format using purpose-built AI prompts. Every pricing term, index, and risk exposure is extracted and source-linked back to the original document. Only then can you deliver consistent, explainable, EBITDA-aligned answers — not just chatbot responses.
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