Problem Solution Advantage Roadmap

What's Broken in Global Commodity Trade

$3 trillion in agricultural commodities traded every year. Most of it still runs on phone calls, spreadsheets, and gut instinct.

Intelligence
Execution
Risk

Intelligence

Price Discovery

Spot prices live in WhatsApp groups and broker calls. No structured, real-time feed exists for most agri corridors.

Supply & Demand Signals

Traders rely on months-old government reports. On-ground availability is invisible until you call someone.

Counterparty Intelligence

A one-time KYC check and a balance sheet. No visibility into how a buyer actually behaves across trades.

Arbitrage Identification

Calculating landed cost across origin price, freight, FX, duty, and financing takes hours. By then, the window has closed.

Institutional Memory

Every insight, which supplier is reliable, which route delays, which buyer renegotiates, lives in a trader's head and walks out the door.

Execution

Trade Construction

No way to model a trade's expected margin, risk profile, and financing need in one place before committing capital.

Document Intelligence

LCs, bills of lading, phyto certificates. Still emailed, printed, and hand-checked across 4+ parties.

Shipment Tracking

You learn about delays when the vessel doesn't show up. Demurrage eats margin silently.

Capital Allocation

$10M in working capital, $200M in visible opportunities. Which trades get funded? Gut feel and relationship pressure.

Trade Finance

Banks underwrite the company once a year. Nobody underwrites the individual trade based on its actual cargo, route, and counterparty risk.

Risk

Pre-Trade Risk Scoring

Traders commit to $500K positions based on a spreadsheet and a phone call. No model tells them the probability of that trade going wrong.

Real-Time Exposure Monitoring

Once cargo is on the water, you're blind. FX moves, freight reprices, buyers go silent, and you won't know your actual P&L until the trade closes.

Scenario & Stress Testing

If INR drops 3% tomorrow, what happens to my entire book? No mid-market commodity trader in the world can answer this today.

Spot the right trade. Execute it cleanly. Protect the downside in real time.

Hectar is building the proprietary technology to close this loop, repeatedly and at scale, combining machine intelligence with real-world execution on the ground.

How Hectar Solves This

The Trade Graph

Proprietary data infrastructure

A knowledge graph mapping every entity and relationship in Hectar's trading universe: counterparties, origins, commodities, quality grades, routes, ports, and brokers, connected by structured data from actual trades. Every completed trade feeds back: what was quoted, contracted, shipped, received, paid, and what went wrong. Enriched continuously by Hectar's ground intelligence network in West Africa and South Indian processing clusters, multi-source signal ingestion (customs data, vessel tracking, weather, crop reports, policy changes), and real-time price feeds across corridors.

Why it compounds

No API provides this data. It is assembled from Hectar's own trades and ground team observations. Every trade makes it richer. Every trade makes every future model more accurate.

The Corridor Basis Engine

Proprietary pricing and arbitrage model

Real-time computation of fully landed margin across every combination of commodity, origin, destination, quality grade, and incoterm in Hectar's universe. For any given trade: FOB price at origin (from ground network + historical model), ocean freight (market indices + Hectar's own shipment history), insurance, import duty, port charges, FX cost, and financing cost based on expected CCC. The output: a margin-ranked opportunity matrix showing where edge exists right now.

What makes it proprietary

The FOB pricing draws from Hectar's ground data. The freight component uses Hectar's historical costs. The quality adjustment uses Hectar's realized destination prices. No competitor can replicate this without executing the same trades.

The Integrated Control Tower

Trade lifecycle operating system

The single platform where every active trade is constructed, executed, and monitored from quote to cash.

Trade construction

A trader assembles a prospective deal and immediately sees expected CM, expected CCC, risk flags, and alternative routes, before committing capital.

Execution management

Document tracking, shipment monitoring with predictive ETA, counterparty coordination, payment status, and exception alerts, all in one view, across the entire book.

Real-time P&L

Every open position continuously marked-to-market as FX, freight, and commodity prices move.

Capital intelligence

Which trades deserve capital now, recommended by calculated ROCE and velocity, not gut feel.

The Risk Engine

Pre-trade scoring, live monitoring, and scenario simulation

Before the trade

Every prospective trade gets a risk score: probability of CM going negative, CCC exceeding target, counterparty default, and shipment disruption. This is how mistakes stay small, isolated, and never repeated.

During the trade

Correlated exposure monitoring that tracks FX, freight, commodity price, and counterparty signals simultaneously, not in separate silos. When multiple variables move against a position, the system flags it before it becomes a loss.

Across the book

Full scenario and stress testing. What happens to all open positions if INR drops 3%? If Tuticorin congests for 2 weeks? If your top 3 buyers delay payment simultaneously? Answers in seconds.

Hectar Flow

Financial products powered by the intelligence stack

Transit underwriting

Using route, carrier, seasonality, congestion, and commodity data to underwrite shipment risk, priced to the specific trade, not a generic policy.

Dynamic counterparty credit

Real-time credit limits based on trade history, payment behavior, and live risk signals, not a static annual review.

Embedded trade finance

Making individual trades financeable by packaging the Risk Engine's scoring, the Control Tower's verification, and the Trade Graph's counterparty intelligence into a view lenders can underwrite against.

The evolution

This is how Hectar evolves from a technology-powered trading company to financial infrastructure for commodity flows.

The Compounding Advantage

Every trade improves the data.

Better data improves the models.

Better models improve pricing, execution, and risk decisions.

Better decisions improve the next trade.

That widens the gap between Hectar and any new entrant.

What Gets Built, and When

Built Shipped and operational
In Progress Actively under development
Planned Scoped for upcoming cycles

The Trade Graph

Proprietary data infrastructure
Counterparty graph Structured profiles for 200+ counterparties with trade history, payment patterns, and reliability scores Built
Trade outcome memory Every completed trade logged with what was quoted, shipped, received, and what went wrong Built
Ground intelligence ingestion Field team data from West Africa and South Indian processing clusters fed into structured pipelines In Progress
Route intelligence layer Historical route performance, port behavior, carrier reliability, and transit time distributions In Progress
Quality history layer Commodity-specific quality tracking: KOR, moisture, defect rates mapped to origins and seasons Planned
Multi-source signal ingestion Customs data, vessel tracking, weather, crop reports, and policy change feeds Planned

The Corridor Basis Engine

Proprietary pricing and arbitrage model
FOB price normalization Origin prices from ground network and historical models, normalized across commodities and grades Built
Landed margin calculator Full landed cost computation: FOB, freight, insurance, duty, port charges, FX, financing In Progress
Freight and logistics cost layer Market indices combined with Hectar's own shipment cost history for accurate freight estimates In Progress
Duty and import cost engine Country-specific import duty, tariff, and port charge computation per commodity and incoterm Planned
FX and financing layer Real-time FX cost and financing cost based on expected cash conversion cycle In Progress
Arbitrage opportunity matrix Margin-ranked opportunity display across all active corridors, grades, and windows In Progress

The Integrated Control Tower

Trade lifecycle operating system
Trade construction workbench Assemble prospective trades with projected CM, CCC, risk flags, and alternative routes In Progress
Shipment monitoring Live tracking with predictive ETA, port congestion signals, and carrier reliability data In Progress
Document workflow layer Auto-extraction, validation, and cross-checking of contracts, BLs, LCs, and invoices Planned
Payment and receivables tracking End-to-end payment status, receivables aging, and claims management per trade Built
Trade-level mark-to-market Continuous P&L recalculation as FX, freight, and commodity prices move In Progress
Capital allocation view ROCE-based recommendations for capital deployment across desks and corridors Planned

The Risk Engine

Pre-trade scoring, live monitoring, scenario simulation
Pre-trade risk scoring Probability of CM going negative, CCC exceeding target, counterparty default, shipment disruption In Progress
Live exposure monitoring Correlated tracking of FX, freight, commodity, and counterparty signals across all open positions Built
Counterparty risk alerts Behavioral signals: late payments, renegotiation patterns, quality disputes flagged in real time Planned
Correlated risk detection Identifies when multiple variables move against a position simultaneously Planned
Scenario simulation What-if analysis across the entire book: FX shocks, port congestion, buyer payment delays Planned
Book-level stress testing Full portfolio stress tests combining commodity, FX, freight, and counterparty risk factors Planned

Hectar Flow

Financial products powered by the intelligence stack
Transit underwriting Shipment risk underwriting using route, carrier, seasonality, congestion, and commodity data Planned
Dynamic credit limits Real-time counterparty credit based on trade history, payment behavior, and live risk signals Planned
Embedded trade finance Packaging Risk Engine scores, Control Tower data, and Trade Graph intelligence for lender underwriting Planned
Claims and dispute intelligence Predictive claims probability and recovery prioritization from trade outcome data Planned
Trade-level financing logic Per-trade financeable view combining risk score, document verification, and counterparty profile Planned