What TradeOS is
TradeOS is the operating system for international trade. One platform where a trading company runs every part of the operation: sourcing products, managing manufacturers, serving clients, placing and tracking orders, overseeing production, shipping across borders, handling finance and compliance, and automating the work that doesn’t need a human.
It replaces the stack most trading companies stitch together. Salesforce for clients. QuickBooks or NetSuite for accounting. Flexport for freight. Monday for tasks. DocuSign for contracts. Harvey for legal review. n8n for automation. And a spreadsheet empire underneath. One system instead of ten.
Every section shares one data model. When the legal AI reviews a contract, it already knows the manufacturer’s on-time delivery rate. When the accounting AI categorises a payment, it knows which order it relates to. When a bot fires a workflow, it has full context on every entity the workflow touches. No standalone tool has this. No integration of standalone tools can fake it.
Why it lives on this site
TradeOS is the source of EDMA’s verified evidence. A blockchain that settles on real-world facts needs those facts produced somewhere. Production lots have to be tracked. Inspections have to be filed. Container seals have to be photographed. Bills of lading have to be hashed. Customs declarations have to be lodged. Receipt confirmations have to be signed. Every one of these is an event a TradeOS operator captures while running the business.
The protocol’s Proof-of-Verification consensus needs that stream. TradeOS produces it. Each operational milestone in the software becomes the signed evidence that mints an EMT on the rail. The order lifecycle in TradeOS is the same lifecycle that releases stablecoin on settlement.
TradeOS at the operational layer. EDMA L2 at the consensus layer. EDSD at the settlement layer. One system, three jobs, one source of truth.
Four architectural layers
Operational Core
The daily work of running a trade business. Products, Manufacturers, Clients, Orders, Production, Shipments, Finance, Documents. Plus Dashboard and Notifications as the control surface. Ten sections that cover everything from quoting a deal to closing the books on it.
Infrastructure
Search and Settings. The connective tissue. Cross-entity search that knows what a product is, what a shipment is, and how they relate. Configuration that lets each operator shape the platform around their own workflow.
Intelligence & Strategy
Communications, Intelligence Feed, Predictive AI, Strategic Management. The layers that turn operational data into awareness, foresight, and direction. Tariff change in a destination market, you see it. Manufacturer about to miss capacity, you see it. OKRs slipping against trade pipeline reality, you see that too.
AI Services
Professional Services AI and Data Sovereignty. Legal AI drafts and analyses contracts using the operator’s actual deal context. Accounting AI categorises payments and reconciles across multi-currency, partial, split, and LC structures. Plus Automation and Task Management cutting across all of it, executing the repeatable work in the background.
Manufacturers
POs in. Production reports out. QC uploaded.
Hospitals, Distributors
Track orders. Download invoices and docs.
EDMA Group
Pays the subscription. Sees every relationship across all four portals.
Freight, 3PLs, Customs
Bookings, milestones, BOLs, customs filings.
Banks, Funds
Browse deals, price risk, fund on milestone proof.
What makes it different
Professional Services AI is included
Legal AI and Accounting AI are not add-ons. Every paid tier ships with contract drafting, risk analysis, transaction categorisation, and multi-jurisdiction reconciliation built in. Target accuracy curve: 82% in month one, 94% in month two, 98% by month six as the system learns the operator’s specific patterns.
Network seats are free
Operators pay for their internal team. Suppliers, logistics providers, and clients are free up to tier limits. A typical $50M-volume operator interacts with 50 to 150 suppliers, 10 to 30 logistics partners, and 100 to 300 clients. All of them get a seat. None of them pay.
Built in production, not as a demo
EDMA Group, a medical glove distribution business with $80M in annual revenue, has been the first production tenant since the earliest builds. Every section is stress-tested against a real operation moving containers across nine countries. Dogfooding is the development methodology, not a marketing line.
Where it stands today
TradeOS is in production. Stage 1 of the EDMA roadmap (Mar–Jul 2026) is the Trade OS Platform build, currently 80% complete. Closed beta opens on May 18, 2026 with 50 beta customers; public launch follows on August 1, 2026 as Stage 1 transitions to Stage 2 (L2 testnet and mainnet, Aug–Oct 2026). Thirteen MVP sections ship at public launch covering the operational core, search and settings, plus Professional Services AI. Automation and Bots ships in MVP as section fourteen. The remaining six sections (Communications, Intelligence Feed, Predictive AI, Strategic Management, expanded Task Management, full Data Sovereignty UI) ship through Q4 2026 and Q1 2027 in parallel with the L2 mainnet and Global Trade Marketplace launch.
The technology stack is Fastify and TypeScript on the backend, PostgreSQL with Drizzle ORM for data, React with Vite on the frontend, and a multi-provider AI architecture spanning Claude, OpenAI, Gemini, and a local Gemma deployment as a resilience floor. The platform is multi-tenant from the first row of every table, internationalised across 57 languages and 65 regional variants, and instrumented with the same kind of audit logging the protocol layer expects from systems that feed the rail.
Pricing and trial access live at edma.trade. This page exists for token holders who want to see what the protocol’s operational layer actually is. Full roadmap at /roadmap/.
