FSX
FSX.ai
FOOD SECURITY EXCHANGE
GRANTED SINGAPORE AI PATENT · SG 10202109991Y

Patented AI Command & Control for Food Resilience

FSX.ai is a Singapore enterprise decision intelligence company that gives governments and agri-food enterprises anticipatory control over food supply chain risk.

Our granted patent covers the method and system for determining risk in a food supply chain. The Food Security Command & Control Centre (FSC3) turns that protected method into an operating AI control tower — where every prediction terminates in a ranked, costed, owner-assigned intervention.

FSC3 · NATIONAL RISK BOARDLIVE
Single-country concentration — leafy vegetables
HIGH
Transboundary disease — poultry corridor
MED
Port & cold chain throughput
LOW
Export policy signal — rice originating markets
MED
Stockpile coverage against demand baseline
LOW
RISK VALUE → IMPACT PERCENTILE → THRESHOLD BREACH
SUPPLY-SIDE / DEMAND-SIDE CLASSIFICATION → RESPONSE PLAN
ILLUSTRATIVE VIEW OF THE PATENTED RISK KERNEL
2023
Singapore patent granted — priority date September 2020, predating the current AI cycle
12
Layers in the enterprise decision operating system, foundation to governance
40
Autonomous agents across six clusters, reporting into the control tower
60+
Operational views across the government, enterprise and ASEAN consoles
THE PROBLEM WE ARE SOLVING

Food security is a national security concern, and food supply disruption is a strategic risk

Pandemics, natural disasters, political upheaval and corporate failure all disrupt the food supply chain. Governments and industry need to understand their exposures and vulnerabilities before the disruption arrives — not after it has been reported.

MACRO-ENVIRONMENTAL

Climate, disease and disaster

Climatic and weather change, pandemics including bird flu and swine fever, typhoon, flood, drought and long-run climate shift — each with direct and indirect impact on supply.

SOCIO-POLITICAL

Policy and geopolitical shock

Geopolitical tension, political turmoil, sudden export bans and trade policy decisions, port closures and work stoppages — the fastest-moving class of disruption and the hardest to see coming.

CORPORATE

Counterparty failure

Supplier insolvency, corporate distress and scandal upstream in the chain, propagating into availability, price and regulatory exposure downstream.

AVAILABILITY

Production, imports and stockpiles — the volume actually reaching the market.

PHYSICAL ACCESS

Access to markets and the infrastructure that moves food through the chain.

ECONOMIC ACCESS

Employment, remittances, investment and trade — affordability, not just supply.

UTILISATION

Health and nutrition, sanitation, storage and processing capacity, clean water.

OUR INNOVATION · PROTECTED METHOD

A granted patent for the method and system of risk determination in a food supply chain

Most food security software reports what already happened. The FSX method computes risk from live multi-source signal, classifies it, and terminates in an executed response — and that method is protected by a granted Singapore patent with a priority date of September 2020.

IPOS
Certificate issued under Section 35
Patents Act 1994, Republic of Singapore
INTELLECTUAL PROPERTY OFFICE OF SINGAPORE
TITLE
Method and System for Risk Determination in a Food Supply Chain
PATENT NO.
SG 10202109991Y
DATE OF FILING
10 September 2021
PRIORITY
11 September 2020 — SG 10202008889X, “Food Security Exchange System”
DATE OF GRANT
6 December 2023
INVENTOR
Zaid Bin Hamzah
PROPRIETOR
Zaid Bin Hamzah — Founder, FSX.ai
CLAIMS
12 — claims 1–6 method, claims 7–12 system

The patented risk determination pipeline

Five stages, from raw signal to executed intervention. Each stage maps directly onto the granted claims.

1
Data Ingestion

Multi-source data and IoT sensor inputs collected in real time across the chain.

2
AI Event Detection

NLP identifies and validates trigger events against geospatial and weather data.

3
Risk Computation

Risk value and impact percentile calculated against a preset or dynamic threshold.

4
Risk Classification

High / intermediate / low, split into supply-side and demand-side exposure.

5
Action & Control

Alerts issued and response plans executed through the Command & Control Centre.

Early warning, proactive decision-making and resilient food supply chains at local and global scale — with every prediction terminating in a ranked, owned, auditable intervention.
Patent Summary — SG 10202109991Y
METHOD AND SYSTEM FOR RISK DETERMINATION IN A FOOD SUPPLY CHAIN
Download PDF

Bibliographic particulars

  • Jurisdiction — Republic of Singapore. Certificate issued under Section 35, Patents Act 1994, by the Intellectual Property Office of Singapore.
  • Patent number — SG 10202109991Y. Filed 10 September 2021. Granted 6 December 2023.
  • Priority — 11 September 2020, Singapore application SG 10202008889X, titled Food Security Exchange System.
  • Inventor and proprietor — Zaid Bin Hamzah, founder of FSX.ai.
  • Claims — twelve. Claims 1 to 6 are method claims; claims 7 to 12 are corresponding system claims.

The problem addressed

Disasters and threats — macro-environmental events, socio-political upheaval and corporate risk — have direct and indirect impact on food supply, and therefore on food security and resilience. Existing approaches have not dealt with these effectively or efficiently. The invention responds to the need for an early warning system that gives stakeholders in the food ecosystem the guidance to plan for disruption and to take strategic and operational steps to prevent or mitigate it.

The invention in outline

The patent claims both a method and a corresponding system for determining and managing risk in a food supply chain, unified as a single digital platform. The system comprises a processor, memory and a risk determination module, supported by three coupled modules: a natural language processing module, a natural disaster prediction module, and a plant growth monitoring module. A classifier grades the resulting risk.

The claimed sequence

  • Receive a preliminary set of data from a plurality of data sources, comprising trigger event data and non-trigger event data.
  • Identify the trigger event data from that set using machine learning for natural language processing.
  • Obtain weather forecast data — air temperature, humidity, wind speed, air pressure, air density and surface temperature.
  • Validate the trigger event data through the natural language processing module.
  • Identify the occurrence of natural disaster at a geospatial location indicated by geospatial data.
  • Monitor, based on the identified natural disaster, the growth of crops and plants at one or more physical farms at that geospatial location.
  • Compare the identified trigger event data against real-time geospatial data and against the weather forecast data.
  • Calculate a risk value from that comparison, the risk value including a positive score and a negative score.
  • Determine risk by calculating the impact percentile of the risk value; risk is determined where the impact value exceeds a threshold, preset or dynamically set by a user.
  • Classify the determined risk into supply-side risk and demand-side risk.
  • Alert at least one entity of the food supply chain, based on the determined risk and its classification, via IoT-based sensors.

Dependent claims

  • A classifier grades identified trigger events as high, intermediate or low risk, and the risk values of classified events are aggregated to determine overall food supply chain risk.
  • Trigger event data comprises keywords relating to pandemic, natural disaster, geopolitical tension and corporate bankruptcy.
  • Actions performed on the determined risk include notifying a user above threshold; determining a response plan — including changing suppliers and increasing or decreasing orders; and activating that response plan for each identified trigger event using machine learning algorithms.
  • The preliminary data set is obtained by integrating social media data, government data, news data, weather data and company data.

Supporting embodiments in the specification

  • Command-and-control centre — an establishment equipped with control and communication instruments, including weather radar, performing monitoring and control across demand and supply, issuing warnings to the distribution network and activating response plans across a supplier network spanning multiple countries.
  • IoT sensing — light, soil moisture, temperature and chemical sensors on physical farms, with rainfall, snow, wind direction and speed detectors, plus drone and satellite monitoring.
  • Rainfall prediction — a deep neural network model over radar maps at different heights and meteorological sequences, producing time-sequenced rainfall predictions.
  • Credibility sub-module — a natural language processing sub-module that scores structured behavioural data against corresponding text data to detect fraudulent, inaccurate or misleading text.
  • Financial risk expression — a supply chain risk score derived by factoring an economic impact score against a supply risk score: SCR = EI × SR ÷ 10, each normalised, enabling risks across different production inputs to be compared and ranked, and an ameliorating action taken.

Why it matters commercially

The patent protects the conversion of food security signal into a computed, classified and actioned risk position. It gives FSX.ai a defensible position at the layer where prediction becomes decision — the layer that general-purpose AI tooling does not occupy — and a priority date that predates the current generation of AI platforms. Around it sit three further layers of advantage: the enterprise ontology of the food system, proprietary decision memory, and institutional access across ASEAN and the GCC.

THIS SUMMARY IS PREPARED FOR GENERAL INFORMATION AND IS NOT A LEGAL OPINION ON SCOPE, VALIDITY OR INFRINGEMENT.
THE GRANTED CLAIMS AS PUBLISHED BY IPOS ARE THE OPERATIVE TEXT AND PREVAIL OVER ANY SUMMARY.
© FSX.AI · ZAID HAMZAH · ALL RIGHTS RESERVED.
FOOD SECURITY COMMAND & CONTROL CENTRE

The FSC3 is the AI control tower that turns the patented method into an operating system

Patented risk engine. Twelve-layer enterprise decision operating system. Sixty-plus operational views. The FSC3 is where food supply chain crisis monitoring, live data feeds, predictive modelling, real-time impact assessment and prescriptive analytics come together in one place — and where the response is executed, not merely recommended.

Platform capability stack

APEX · GOVERNANCE AND ASSURANCE
12
Governance & AssuranceModel risk management, audit trail, human-in-the-loop control
11
Decision Memory & LearningEvery decision retained, outcomes scored, institutional memory compounded
10
ExplainabilityLive decision dossiers — evidence trees and confidence scoring
09
Executive CopilotNatural language interrogation of the enterprise knowledge estate
08
Simulation & War Gaming10,000 Monte Carlo runs per scenario; contingency stress testing
07
AI Planning EngineTop-ten ranked interventions — sequenced, costed and owner-assigned
06
Agent OrchestratorThirty to forty specialised autonomous agents across six clusters
05
Decision FabricSignal-to-decision routing with thresholds and escalation paths
04
Digital TwinExecutable model of the national food ecosystem
03
Knowledge GraphEntities, relationships and causal pathways across the food system
02
Enterprise OntologyEvery object semantically defined — farm, shipment, supplier, policy, port
01
Data & Foundation ModelsMulti-source ingestion, IoT telemetry, LLM and domain model layer
FOUNDATION · LAYER 01 AT THE BASE, ASCENDING TO GOVERNANCE AT THE APEX

Connected systems and data exchange

Grower & farm systems

Farming operations, supplier input, farm produce and yield telemetry from traditional and urban farms.

Importer & distributor systems

Trade flows, distributor and importer records, order books and substitution capacity.

Port, shipping & cold chain

Node capacity, route status, chokepoint condition and cold chain integrity across corridors.

Regulatory & policy feeds

Legislation, advisories, accreditation registers and trade circulars mined by NLP.

Climate, satellite & IoT telemetry

Weather, geospatial imagery and sensor networks feeding the natural disaster and crop monitoring modules.

Global trade & commodity markets

Price discovery, volatility, export policy and demand signals across originating markets.

Forty autonomous agents, operating as a coordinated mesh

Each agent reports health, workload, confidence and findings into the control tower. Agents do not merely observe — they negotiate, escalate and execute, under the governance layer's human-in-the-loop controls.

8
Sensing
Weather, climate, satellite and IoT telemetry
7
Trade & Policy
Export bans, tariffs, regulatory and legislative change
6
Market
Price discovery, volatility and demand signals
9
Supply Chain
Ports, shipping, cold chain and supplier viability
5
Food System
Yield, disease, production and processing capacity
5
Response
Contingency assembly, execution and verification
DECISION INTELLIGENCE

From private knowledge to an executed decision

The value is not the prediction. It is what the prediction becomes. FSX.ai routes proprietary and public signal through a semantic core into a decision engine that produces ranked, costed, owner-assigned interventions — auditable, explainable and retained in decision memory.

Private knowledge sources
  • Unstructured news and sentiment
  • Regulatory and policy text
  • Trade, climate and IoT feeds
  • Institutional and agency records
Semantic core
  • Parse into nodes and index
  • Enterprise ontology
  • Knowledge graph traversal
  • Digital twin propagation
LLM and LAM layer
  • Retriever and synthesis
  • Region-tuned models
  • Large Action Models
  • Agentic monitoring and escalation
Decision engine
  • Ranked interventions
  • Cost, owner and confidence
  • Executed through the C3
  • Outcome scored into memory
Final response: a ranked, costed, owner-assigned intervention — auditable, explainable and retained in decision memory, so the next decision starts from a better position than the last.

Simulation, war gaming and the planning engine

Simulation and war gaming

  • Stress-tests a proposed intervention before commitment
  • Quantifies the distribution of outcomes, not a single point estimate
  • Validates contingency plans against historical disruption events
  • Exposes second-order effects the twin propagates through the graph

AI planning engine

  • Activate alternate source corridors, ranked by feasibility
  • Release strategic reserve tranches against coverage thresholds
  • Reroute cold chain via secondary ports
  • Trigger supplier substitution and issue advisories to importers and retail

Every intervention carries an owner, a cost and a confidence score.

Risk expressed financially, not as a colour: Supply Chain Risk = Economic Impact × Supply Risk ÷ 10 — an exposure that can be hedged, provisioned or insured.

Changing the rules with anticipatory decision intelligence

HOW FOOD SECURITY IS MANAGED TODAY
  • Retrospective reporting after the disruption
  • Structured internal records only
  • Risk expressed as a colour, not a number
  • Analyst hands off to a human process
  • Decisions unrecorded; memory lost with staff
  • No protected method — freely replicable
WITH THE FSX FSC3
  • Early warning ahead of the disruption
  • Structured and unstructured — news, sentiment, regulatory text
  • Quantified financial exposure that can be hedged or provisioned
  • Automated response plans executed through the C3
  • Every decision retained, scored and learned from
  • Granted patent plus proprietary ontology

A four-layer moat

01

Patent

Granted risk determination method and system, with a priority date predating the current AI cycle.

02

Ontology

Codified semantic model of the national food system — years of domain synthesis, not replicable at speed.

03

Decision data

Proprietary decision memory and outcome scoring that compounds with every execution.

04

Institutional network

Agency, academic and industry access across ASEAN and the GCC — the binding constraint in this market.

The ontology is the asset. The software is the delivery vehicle.

THREE SOLUTIONS · ONE DECISION OPERATING SYSTEM

Early warning, command and control, and productivity — integrated

Three solutions sit on the same patented kernel and the same decision operating system, so signal detected in one becomes action in another.

01

AI-driven early warning system

FIEWS — FOOD INSECURITY EARLY WARNING SYSTEM

Real-time scanning of specific food insecurity threats, projections from algorithms grounded in complexity theory, and automatic triggering of pre-defined response plans. FSX uses the Teng FIEWS framework for its data typology and risk-weighted scoring of variables.

02

Command & Control Centre

FOOD DATA INTELLIGENCE

Live data feeds, predictive modelling and machine learning, real-time impact assessment, prescriptive analytics and coordinated cross-agency response — the control tower for food supply chain crisis monitoring.

03

Productivity platform

AI FOR FOOD SYSTEM PRODUCTIVITY

AI applied across the value chain to raise productivity and quality, lower costs, reduce wastage and optimise resource planning — from R&D and crop yield to processing, traceability, financing and compliance.

FIEWS — the framework beneath the early warning system

FIEWS uses a comprehensive set of indicators across the food production and consumption continuum to give timely notice when a food crisis threatens, and to elicit an appropriate response. Triggers are derived from an analysis grounded in complexity theory and operationalised into a real-time system.

Complexity mapping

The food insecurity ecosystem characterised from four perspectives — national, ASEAN, Asian and global — with causal relationships established between insecurity factors and supply.

Triggers and pathways

Event triggers and indicators identified for each pathway, with the consequence on supply characterised and the resilience category defined.

Response and validation

Response plans developed for each trigger set, machine learning algorithms built for risk decisioning, and the operational system validated against historical events.

Who benefits from a FIEWS risk management system

STAKEHOLDERHOW THE DATA HELPS
Food growersWeather data supports crop management; market pricing data supports farm business management.
Food processorsSupply chain disruption data enables alternative sources of supply to be identified early.
Logistics providersDisruption data supports planning for alternative modes of transport and alternative routes.
Exporters & importersDisruption affecting earnings is surfaced ahead of time, with alternative sources identified.
Food retailersDisruption data enables retail and F&B chains to secure alternative supply before shelves are affected.
Banks & financiersMarket disruption affecting borrowers' ability to repay supports evaluation of non-performing loan risk.
Insurance companiesDisruption and financial loss data supports underwriting and risk evaluation.
GovernmentDisruption data enables planning ahead to avert political crisis or instability.
THE PLATFORM IN OPERATION

Three command consoles on one patented kernel

The same risk determination engine is instantiated for three different operators. A national food agency, a commercial importer and a regional secretariat see different views of the same computed truth.

CONSOLE 01 · SOVEREIGN

Government & national agency

The national executive C3 — food security posture, source and corridor board, vulnerability assessment, stockpile coverage, whole-of-government coordination and the patent and IP position.

National Executive C3AI Control TowerDecision Kernel Chain Source & Corridor BoardVulnerability AssessmentConcentration & SPOF FS Risk Scoring MatrixImport Data ExplorerSignal Scanner FIEWS Early WarningData Typology & UniverseSource Establishment Intel Disease & RegionalisationConsumption & DemandPast Disruption History Predictive Model BankNational Risk MatrixStockpile & Coverage Clock Node Capacity & InfrastructureTrade Routes & LogisticsAccreditation & Food Safety Regulatory Compliance MiningAgentic OperationsArchitecture Stack National Food Data SpineWhole-of-Govt & ASEAN
39 OPERATIONAL VIEWS · 7 COMMAND GROUPS
CONSOLE 02 · ENTERPRISE

Importers, distributors & F&B

The commercial view — supply chain risk map, cost and margin impact, category-by-category exposure, supplier substitution and a business continuity plan the regulator will accept.

Importer DashboardMy Supply Chain Risk MapCost & Margin Impact Category ExplorerMeat, Poultry & LivestockFish & Seafood Eggs & Egg ProductsFresh Fruits & VegetablesRice & Price-Controlled Processed Food & ERSPNovel Food, Insects & FeedApproved Source Explorer Exporter DirectoryPast Disruptions to My ChainPredicting Disruption Supplier Substitution EngineAlerts & Trade CircularsBCP Builder Importer Directory & Network
19 OPERATIONAL VIEWS · 5 COMMAND GROUPS
CONSOLE 03 · REGIONAL

ASEAN collective food security

The regional view — food interdependency mapping, intra-ASEAN trade matrix, correlated exposure, collective substitution, regional reserves and the institutional layer.

ASEAN Executive C3Food Interdependency MapIntra-ASEAN Trade Matrix Commodity NetworksCountry ProfilesProduction & Exportable Surplus Concentration & SPOFCorrelated ExposureUpstream Dependency Graph Corridors & ChokepointsASEAN Risk MatrixInterdependency Index (AFII) Collective Substitution EngineDisruption SimulatorASEAN Early Warning Regional Reserves & APTERRCollective Response PlaybooksInstitutional Layer ASEAN 2045 AlignmentASEAN Data Spine
20 OPERATIONAL VIEWS · 5 COMMAND GROUPS

Singapore as the trusted data node

FSX is building the Command & Control Centre as the brain for managing food supply chain risk across Asia. Singapore is positioned as the trusted and strategic data node in the Asian food value chain — a global Asian node for food security risk management, with structurally identical exposure profiles across the GCC.

90%+
Singapore's food import dependency
USD 265bn
ASEAN agriculture sector value
USD 159bn
Southeast Asian contract farming market
6 GCC
States with a structurally identical exposure profile

Where we deploy

SEGMENTBUYERENGAGEMENT
SovereignFood agencies, trade ministries, national security officesMulti-year licence
EnterpriseImporters, distributors, processors, retail and F&B chainsSubscription plus deployment
FinancialBanks, trade financiers, insurers and reinsurersRisk model licence
EcosystemSystems integrators, agri-tech vendors, consultanciesChannel sub-licence
WHAT WE DO

A Singapore data innovation and platform provider building the next generation food resilience value chain

Food Security Exchange (FSX) leverages data and AI to enhance the food security ecosystem. We aggregate players across the ecosystem and build strategic food intelligence and decision support systems — transforming food systems into safe, reliable and resilient ecosystems.

Our focus areas

Data & AI for decision making

Applying data science, predictive modelling, machine learning and natural language processing to improve decision making in food security management.

Education & training

Capability building in food security and resilience across C-suite, middle management and front-line staff.

Technological innovation

Agritech and aquatech venture innovation, including urban farming technology adoption among growers.

Integrated supply chain management

End-to-end food supply chain management across borders, from farm to fork.

Regulatory compliance

Compliance in food law and regulation, covering farming, health standards and cross-border trade.

Ecosystem connectivity

Connecting growers, processors, distributors, retailers, financiers, regulators and R&D bodies through data exchange and intermediation.

Connecting the dots in the food resilience ecosystem

FSX connects the hard and soft dimensions — people, infrastructure and process — through data, modelling and machine learning, to inform stakeholder strategies, programmes and user experience. Scenario planning, stress testing, sentiment analysis and investigation sit on top of predictive analytics, data modelling and machine learning.

DATA INFLOW

Stakeholders provide quality data inputs into the FSX collaboration platform.

DATA PREPARATION

Custom APIs reconstruct and categorise raw input into useful, targeted data categories.

ANALYSIS & EXCHANGE

Stakeholders acquire the data they need, modelled and exchanged across the ecosystem.

ACT ON INSIGHTS

Insights that enhance data-driven decision making are returned to the stakeholders who contributed.

OUR SERVICES

Technology and data, capability building, professional services and compliance

Four service lines wrap the platform — so a client can move from assessment, to capability, to deployment, to sustained compliance without changing partner.

01Technology & DataEXPAND

Technology plays a key role in food security. The application of big data and data science enables farm owners to further unlock the potential of the agriculture market.

FSX is a platform provider and technology aggregator. Focusing on urban farming, we promote knowledge-intensive agritechnology adoption among growers. We work with technology partners including Archisen, which designs, develops and operates systems to grow ultra-fresh, ultra-local produce in urban cities, and has developed Croptron™, smart urban farming software using sensors, IoT technology and data analytics to improve farm management and crop yields.

For data-related services we collaborate with companies including Microsoft and IBM to offer data analytic solutions for enterprises in the food ecosystem, including services that:

  • Provide means to enable continuous monitoring — urban farmers need to constantly monitor the parameters that directly affect yield and profit. Wireless sensors and variable rate technologies track temperature, weather, nitrate content, soil quality, plant health, weed and unplanted growth, and pest detection.
  • Enable real-time data collection — accurate collection and storage of data for continuous decision-making, through aerial mapping, field harvesting, weather conditions and chemical detection.
  • Increase automation of crop cultivation and livestock production — precision agriculture enabled by robotics and drones, with human-machine interaction addressing a declining and ageing workforce.
  • Demonstrate increased farmer return on investment — agritech that improves yield productivity without environmental cost, optimising and managing resources to raise ROI.
  • Make efficient use of data — agritech generates large datasets; efficient use of that data is critical to the sector and opens partnership opportunities with data analytics companies.
02Education & TrainingEXPAND

To grow the food ecosystem and ensure resilience, we start with building capabilities. FSX conducts training courses in collaboration with partners including SSA Academy and FutureLaw.ai, in the following areas:

  • Introduction to urban farming — from farm to fork
  • Introduction to data analytics and AI in the food security ecosystem
  • Strategic management of food security, for policy makers
  • Supply chain management in food security
  • Regulatory compliance in food law in Singapore, covering farming and health standards
  • Food safety and health
  • Entrepreneurship in the food security business, including financial modelling for urban farming
  • Investing in agritech and aquatech ventures — practical aspects

We run short courses of one to two days as well as more structured three-month programmes with institutions of higher learning, targeting three levels: C-suite, middle management, and rank-and-file and front-line staff.

We adopt a pedagogy called PEbAAL — Performance-based Experiential Adaptive Agile Learning — and offer face-to-face learning, live virtual training, and e-learning.

03Professional ServicesEXPAND

We work with our partners to provide the following professional services:

  • Intellectual property services via IntellectualFutures.ai
    • Strategic management of intellectual property
    • IP protection — copyright, trade mark, patent, confidential information
    • Licensing advice
    • IP licensing negotiation
  • Legal services in partnership with law firms regulated under the Legal Profession Act, Singapore
    • Incorporation of companies
    • Drafting of transactional agreements, including joint venture and supply agreements
    • Legal due diligence
    • Legal and regulatory compliance
    • Dispute resolution, including arbitration and court litigation
    • Anti-money laundering and know-your-client requirements
  • Accounting services
    • Preparation of accounts
04ComplianceEXPAND

All food items must be grown, harvested, transported and stored in accordance with food and safety laws and regulations. When exported out of one country and imported into another, food suppliers must comply with customs regulations.

At FSX we provide training in compliance as well as cloud solutions to manage the compliance process efficiently, especially across borders. We provide automated compliance-as-a-service using cloud systems to make compliance with food laws and regulations seamless, and AI-driven robotic process automation to help urban farmers improve compliance workflows, including proper reporting on the state of compliance.

FSX works with partner law firms to provide legal advice on compliance issues in Singapore and internationally, focusing on cross-border transactions and practice areas, to advise among others on:

  • Regulation and market authorisation of specific chemical and natural food ingredients and additives, including genetically modified ingredients and those subject to food standards or prescribed limits
  • Associated good manufacturing practice issues, and food and crop safety issues
  • Legal and regulatory aspects of food advertising and marketing, competition and trade, commercial agreements, data privacy, employment and market entry
  • Global transfer pricing and tax planning strategies in the agritech sector
  • Product liability and the management of disputes

Note: fees payable to law firms are separate from any fees due to FSX. Under Singapore law, neither FSX nor its authorised representatives, agents or employees may take any commission from legal fees paid by clients of law firms to law firms.

THE TEAM

Built by the inventor, advised by the field

FSX combines AI patent ownership and enterprise decision architecture with deep domain authority in food security research, urban farming technology and data science.

Zaid Hamzah
FOUNDER · INVENTOR AND PROPRIETOR, SG 10202109991Y

AI and data strategist and technology lawyer. Inventor and proprietor of the granted Singapore patent on the method and system for risk determination in a food supply chain, the protected method at the centre of the FSX platform.

Executive Education Fellow at the National University of Singapore School of Computing's Advanced Computing for Executives centre, where he runs programmes on AI innovation management, intellectual property rights in AI innovation, and commercialisation of AI innovation. Adjunct Senior Fellow at the S. Rajaratnam School of International Studies, Nanyang Technological University, and a member of the Board of Directors of NIE International.

Admitted as Advocate and Solicitor of the Supreme Court of Singapore and Solicitor of England and Wales. Author of ten books spanning law, technology, intellectual property and AI, with over 40 years of professional experience, including Microsoft's Director for intellectual property and commercial software, Senior Legal Advisor to Singtel's joint venture with Warner Bros and Sony Pictures, and Chief Regulatory Legal and Compliance Officer at Telekom Malaysia.

LINKEDIN →
Professor Paul Teng
ADVISOR · FOOD SECURITY

Advisor to FSX and author of the FIEWS framework — the Food Insecurity Early Warning System that FSX adopts for its data typology and risk-weighted scoring of variables. FIEWS applies complexity theory to characterise the food insecurity ecosystem across national, ASEAN, Asian and global perspectives, identifying triggers, causal pathways and response plans.

Taimoor Akhtar
PLATFORM & DIGITAL DELIVERY

Leads platform delivery, website and digital infrastructure across FSX, keeping the ecosystem's web and automation systems running.

Garrett Teoh
DATA SCIENCE ADVISOR

Advises on data science, modelling and machine learning across the FSX data platform and the risk determination engine.

Jefry Hamzah
DATA MANAGEMENT & DIGITAL MARKETING LEAD

Leads data management and digital marketing across the FSX platform and its ecosystem engagement.

PARTNERS & COLLABORATION

We want to create a big impact. Collaboration is the best way.

We partner globally with governments, corporations, educators and trainers, researchers, entrepreneurs, start-ups and investors to accelerate the development of innovative and disruptive agritech and aquatech sectors, and to drive food resilience.

We seek to build the next generation food resilience value chain, and to support companies, societies and economies in transforming their food systems into safe and reliable ecosystems. We are looking for strategic partners, global partnerships and joint ventures across government, industry and academia.

Government

Food agencies, trade ministries and national security offices deploying the FSC3 as national food security infrastructure.

Industry

Importers, distributors, processors, retail and F&B chains adopting the enterprise resilience console.

Academia & research

Institutions of higher learning and research bodies collaborating on food security modelling, foresight and capability programmes.

Channel & integrators

Systems integrators, agri-tech vendors and consultancies delivering the platform under sub-licence.

Join Our Network
GET IN TOUCH

Deploy a Food Security Command & Control Centre in your jurisdiction

Every engagement begins with a briefing on your exposure profile — where your dependency concentrates, what would break first, and what the FSC3 would surface that your current systems do not.

Sovereign & agency briefing

A structured walkthrough of the national console, the patented risk kernel and a deployment feasibility assessment for your jurisdiction.

Enterprise resilience review

Your supply chain risk map, concentration and single-point-of-failure exposure, substitution options and a business continuity position.

Partnership & licensing

Platform licence, deployment, channel sub-licence and risk model licensing for financial institutions and insurers.

Capability programmes

Executive and operational training in food security, data and AI, delivered under the PEbAAL pedagogy.

ENTITY
FSX.AI · Food Security Exchange
Singapore
EMAIL
[email protected]
DIRECTOR IN CHARGE
Zaid Hamzah
WhatsApp / SMS +65 9370 5982
PATENT
SG 10202109991Y
GRANTED 06 DEC 2023