One source of transaction truth
Every trade, movement and cost captured once and connected across the lifecycle. Position, exposure and cash become facts the whole business shares — not numbers each department rebuilds.
The case for the trading operating system
Commodity trading has changed more in five years than in the previous thirty. The systems running it haven't.
The companies that move the world's crops, minerals and fuels are being squeezed from two directions at once — by the technology they run on, and by the environment they trade in. That squeeze is the investment case.
152
Days until EUDR enforcement for large operators (30 Dec 2026)
2 fronts
Technical and environmental pressure, converging on the same desks
25 yrs
Of Gen10 domain history in physical commodity trading
01 — The problem
Two fronts of pressure, one set of legacy systems in the middle.
Every force below lands on the same place: the trade itself — how it's captured, valued, financed, moved and evidenced. Most trading companies still manage that lifecycle on spreadsheets, email and decades-old CTRM software.
Technology
Legacy CTRM & spreadsheet sprawl
Fragmented data: PDFs, email, silos
AI arriving faster than data readiness
New operational & cyber risk
Retiring expertise, manual processes
The trading company
running on systems designed for a quieter world
Environment
Regulation: EUDR, CSRD, CBAM, sanctions
Geopolitics: tariffs, rerouted trade flows
Weather extremes & crop risk
Price volatility & margin compression
Tighter trade finance & bank scrutiny
Every force lands on the trade lifecycle
- Capture
- Value
- Finance
- Move
- Evidence
Each force is manageable alone. Together they create a structural problem: trading companies must do more — faster, with evidence, under scrutiny — using systems built for none of it.
02 — The solution
Turn the trade lifecycle into structured data — then put intelligence on top.
The answer isn't another point tool. It's an operating layer for the whole transaction lifecycle: every contract, movement, cost and document captured once, structured, and connected — so the same pressures that break manual processes become routine, automated work.
Gen10 provide a connected commodity management platform and cloud CTRM that turns the pressures of commodity trading, including regulation and audits, volatile prices and FX, disrupted logistics, crop and supply shocks, and financing scrutiny, into managed outcomes. NaNi (a conversational AI interface), Conductor.AI (governed AI, orchestration and external connections) and CommOS (the structured system of record) work together as one operating layer, so commodity risk management, compliance evidence, real-time position and P&L, re-planned logistics, early supply-risk signals and bank-ready exposure data become a by-product of the workflow.
The same pressures
Regulation & audits
Volatile prices & FX
Disrupted logistics
Crop & supply shocks
Financing scrutiny
The operating layer
NaNi Conversational interface ask · analyze · action · visualise
Conductor.AI Governed AI & connections agents · retrieval · skills · external sources
CommOS Structured lifecycle data contracts · positions · stock · costs · documents
Managed outcomes
Compliance as evidence
Real-time position & P&L
Re-planned logistics
Early supply-risk signal
Bank-ready exposure data
Compliance as a by-product
When traceability, counterparty and document data live in the system of record, regulatory evidence is generated by doing the work — not reconstructed after the fact at audit time.
AI on rails, not bolted on
Agents are only safe and useful when they operate on structured data, inside governed workflows, with humans approving what matters. Intelligence needs an operating system underneath it.
Built for physical commodities
Quality clauses, weight franchises, borrowing bases, origin traceability — physical trading has domain depth generic software can't fake. The solution must speak the trade's own language.
03 — Where Gen10 fits
Chat-driven CTRM
Traders don't want another system to learn; they want answers and actions. NaNi is the interface to the entire trading operation — supported by the system of record, a governed AI layer, and live connections to the outside world, all built on 25 years of domain expertise.
<NaNi /> · the interface
NaNi
askanalyzeactionvisualiselearn
The desk works in plain language. NaNi answers from the live book, runs the analysis, takes governed actions and visualises the result — turning the whole trading operation into a conversation.
Supported by
CommOS
Single source of truth · Auditable transactions
dataworkflowscontrols
The full transaction lifecycle — contracts, positions, stock, logistics, costs, documents — captured once, structured and auditable. The truth NaNi answers from.
Conductor.AI
Governance · Optimization
agentsRAGskillsAPIs
The machinery behind NaNi — coordinating agents, skills and retrieval, governed and auditable, so AI scales across the business without scaling its risk.
Outside.World
Wider context · Connected sources
ERPpricinglakestrackingnews
Internal truth meets external context in one place.
Built on
The foundation
The hard-won commodity trading expertise — across energy, metals and ags — that makes NaNi, CommOS and Conductor.AI possible. Founded in 2000 out of physical cotton trading.
25yrs Domain expertise
04 — The investment logic
Why this, why now, why Gen10.
Σ-1
The pressure is structural, not cyclical. Regulation, volatility and AI raise the cost of staying manual every year — transformation in this market is a when, not an if.
Σ-2
The system of record is the strategic position. Whoever holds the transaction lifecycle data owns the rails that AI in commodity trading must run on.
Σ-3
Gen10 holds that position with 25 years of domain depth, the CommOS system of record, and a chat-driven interface — NaNi, governed by Conductor.AI — already operating on the structured data competitors are still trying to create.