Innovative Blockchain Ecosystem for Thailand’s Agrotechnology Sector
Welcome to the presentation of an innovative ecosystem that combines financial technology, blockchain, artificial intelligence, and agrotechnology to create a transparent and sustainable investment platform for Thailand’s real economy.
Overview of the Ecosystem
Proprietary GoQuorum Blockchain
Issuance of asset-backed tokens secured by real data and output from aeroponic farms, with full transparency and an immutable record of all transactions.
Real-Time IoT Monitoring
The farms are equipped with advanced sensors that continuously collect data on all production parameters and transmit it to the blockchain for analysis.
AI Process Optimization
Neural network models analyze the data, optimize production processes, and create a transparent agri-index for informed decision-making.
Strategic Project Goal
Connecting the Real Economy and Digital Assets
The project’s key goal is to create a legal and regulated infrastructure that integrates the agrotechnology sector with digital assets in full compliance with the requirements of Thailand’s SEC and BOI.
The token issued on GoQuorum can be legally converted into Thai baht (THB) through partner licensed exchanges and the TouristDigiPay sandbox, ensuring accessibility for tourists, investors, and fintech companies.
Alignment with the Thailand 4.0 Strategy
Thailand 4.0 and BOI Digital Innovation
The project fully aligns with the strategic directions of Thailand 4.0 and falls under the Digital Innovation category within the Board of Investment (BOI), creating a modern next-generation digital infrastructure.
Key infrastructure achievements:
  • Improving agricultural production efficiency through IoT and AI
  • Stimulating foreign investment in the real sector
  • Increasing transparency and trust in the agricultural sector
  • Providing new tools for the fintech market and tourism
Problems We Solve
Conversion of Digital Assets in Tourism
Difficulty exchanging cryptocurrencies to THB for tourists without local bank accounts
Agricultural Production Transparency
Lack of a unified system for recording and verifying product origin
Operational Efficiency
Difficulty optimizing complex aeroponics processes without AI support
Investment Transparency
Investor distrust in tokens without verified production data
Problem: Converting Digital Assets in Tourism
Fragmented Services for Tourists
Existing financial services in Thailand are primarily geared toward residents, creating significant barriers for tourists when working with digital assets.
Challenges with Fast and Transparent Exchange
Tourists find it extremely difficult to exchange digital assets into Thai baht (THB) without local bank accounts and long-term residency, which limits their financial options.
Lack of Unified KYC Standards
Different providers impose different identification requirements for non-residents, leading to duplicated procedures and significant delays.
Restrictions on Direct Crypto Payments
According to SEC and the Bank of Thailand policy, the use of crypto assets for retail payments is prohibited, requiring an intermediate conversion step.
Risks of Grey Exchange Channels

Critical issue: Due to inconvenience, delays, and the lack of unified procedures, some users turn to semi-legal exchange schemes
Consequences of Using Informal Channels
Risks for Users
  • Higher risk of fraud and loss of funds
  • No legal protection in disputes
  • Unpredictable exchange rates
  • Possible legal consequences
Systemic Issues
  • Non-compliance with AML/KYC requirements
  • Reduced transparency of financial flows
  • Erosion of trust in legal channels
  • Challenges in regulatory oversight
Challenge: Agricultural Production Transparency
Difficulty verifying origin and production conditions
In traditional agriculture, there is no unified system for recording critical data, creating serious challenges for all participants in the supply chain.
Fragmented data storage
Information about seed origin, nutrient composition, microclimate, and cultivation methods is stored across different spreadsheets, reports, and paper logs.
Reduced trust from market participants
The lack of structured data reduces investor and buyer confidence in product quality and origin, limiting growth opportunities.
Constraints for AI analysis
Unstructured data is unsuitable for full analysis by neural network models, eliminating opportunities for process optimization and forecasting.
Problem: Periodic inspections and heterogeneous data
Periodic, not continuous, verification
Traditional audits are conducted intermittently — once per quarter or season. Between inspections, it is impossible to confirm the stability of production conditions.
Result: investors do not see the asset’s current liquidity, and consumers do not receive guarantees of product quality.
Heterogeneous data sources
Even when IoT sensors are in place, some information is still recorded manually: photo reports, warehouse records, shipment data.
Problem: the data is not standardized, is difficult to integrate, and cannot be used to build analytics and AI models.
Problem: Operational Efficiency of Aeroponics
Complexity of managing precise operating conditions
Dependence on precise parameters
Irrigation intervals, pressure, droplet dispersion, pH/EC, temperature, and humidity — small deviations in any of these parameters accumulate and critically affect the yield of the entire system.
Difficulty of manual tuning
Adjusting parameters “by feel” without a systematic approach often leads to wasted water, fertilizers, and electricity, while also creating stressful conditions for plants.
Non-obvious interdependencies
The relationships between environmental parameters, plant variety, growth stage, and final outcome are not always linear — without systematic data analysis, they are practically impossible to identify and use.
Problem: Data and Analytics
Noise and missing data
Sensors periodically produce outliers, lose connectivity, or require calibration. Without well-designed data validation strategies, these issues significantly hinder model training and accuracy.
Disconnected storage layers
Some data is stored locally on devices, some in cloud services, and some in intermediary systems. There is no single change log or immutable timestamping.
Difficulty reproducing AI models
Without versioning data, features, and clear metrics, model quality drifts over time, and explaining the reasons behind recommendations becomes extremely difficult.
Problem: Investment Transparency
Difficulty Assessing Risk and Return
Without continuous telemetry and a transparent methodology, the investor sees only “promises” instead of observable KPI and real production metrics.
This creates information asymmetry and increases the perceived risks of investing in the agrotechnology sector.
Distrust of Tokens Without Data
Tokens that are not backed by observable production metrics and verifiable data are perceived by investors as speculative instruments.
The lack of connection to real assets reduces trust and limits capital inflow.
Problem: Regulatory and Compliance Requirements
KYC/AML Compliance
For the legal conversion of tokens into Thai baht (THB), verified and certified processes for user identification and transaction monitoring are required in accordance with international standards.
Role of Licensed Intermediaries
To enter the real financial market, strategic partnerships with operators working under regulatory rules and a clear framework for operational limits and restrictions are required.
Our Solution: Core Design Principles
01
Compliance-by-design
We design all processes with future audits in mind: workflows operate under KYC/AML and SEC rules, and funds move only through legal channels.
02
Data-first approach
Token value is based on observable farm metrics, not promises — we collect and present real performance.
03
Verifiability
Any participant can verify that data has not been altered retroactively thanks to cryptographic fingerprints on the blockchain.
04
Security and privacy
We separate public and private: only aggregates go on-chain, while detailed data stays in secure storage.
05
Phased launch
We build value in layers: MVP → AI → Fintech → Scale, without overloading the product or the budget.
Principle 1: Compliance-by-design in Action
How we ensure regulatory compliance
Standards-based processes
  • Onboarding through licensed brokers and exchanges
  • KYC aligned with the standards of TouristDigiPay participants
  • Flow: Crypto → THB → e-wallet → Retail
  • Limits and sanctions checks
Measurable outcomes
  • Onboarding time (KYC SLA)
  • Success rate of KYC procedures
  • 100% of transactions through licensed channels
  • Zero AML incidents
Why it matters for the business: the regulator understands that we “play by the rules,” which means lower risk and easier partner onboarding. For users, it is fast and transparent; for investors, it means less regulatory uncertainty.
Principle 2: Data-First Approach
Real metrics instead of promises
Continuous monitoring
Sensors measure pH, EC, temperature, humidity, water usage, and energy consumption in real time with a unified format and validity checks.
Product QR passport
Each batch receives a unique QR code with a complete history: seed origin, growing conditions, key metrics, and dates.
Structured data for AI
Clean data enables AI to deliver useful recommendations, while investors see real performance rather than presentations.
Performance metrics:
Sensor coverage (% of zones/parameters), data validity, and latency for publishing aggregated indicators.
Principle 3: Verifiability through blockchain
Digital notary for data
Every 5–15 minutes, we generate a mini period report and anchor its cryptographic fingerprint on the GoQuorum blockchain.
The blockchain stores not the full telemetry, but proof of its integrity — the full data remains in secure storage.
Practical benefits:
  • In disputes, we compare fingerprints to confirm authenticity
  • Trust increases across ecosystem participants
  • Audit and control costs are reduced
Result: 100% of periods with a recorded fingerprint, instant data integrity verification on demand.
Principle 4: Data Security and Privacy
Off-chain data lake
Detailed data is stored in a secure repository with role-based access control and encryption at every level.
PDPA compliance
Data minimization, purpose limitation, defined retention periods, and a complete access log for information.
Incident readiness
Regular backups, a response plan with clear RTO/RPO targets, and periodic security penetration testing.

Security metrics: Successful audits and penetration tests, backup recovery time, and average response time to security incidents
Principle 5: Phased Launch of the Ecosystem
MVP: Core System
Data collection from IoT sensors, basic monitoring dashboards, and cryptographic fingerprints on the blockchain for verification.
AI Phase: Intelligent Optimization
Implementation of predictive models and recommendation systems in a human-in-the-loop mode for safe decision-making.
Fintech Phase: Integrations
Connection to TouristDigiPay, licensed exchanges, and e-money operators for a fully functional payment ecosystem.
Scaling: Expansion
Expansion to new crops and sites, growth of the partner network, and automation of management processes.
Advantage: Rapid delivery of clear value, controlled capital expenditure, and flexibility to meet BOI/SEC requirements.
QR Labeling and Digital Product Passport
Full transparency from seed to consumer
What the QR passport contains:
  • Seed origin and genetic characteristics
  • Growing conditions (pH, EC, temperature, humidity, lighting)
  • Nutrient solution composition and cycle dates
  • IoT monitoring results and quality indicators
  • Harvest and shipment dates
Value for stakeholders:
Consumers: A simple way to verify product origin and quality with a single scan.
Investors: A transparent data source that confirms the efficiency of production processes.
AI systems: A standardized data set for analysis, optimization, and forecasting.
System Architecture
Data Collection
IoT sensors continuously measure environmental parameters with timestamps and authenticity verification
Oracle Layer
Automatic anomaly detection and recording of cryptographic fingerprints on the blockchain
Storage
Secure off-chain storage with quality control and logging of all changes
AI Layer
Machine learning for forecasts, optimization, and recommendations in a human-in-the-loop mode
Smart Contracts
Automated rules for token issuance, DAO voting, and security mechanisms
API and Integrations
Secure connections to TouristDigiPay, exchanges, and dashboards for all participants
Data Collection: Ingest Layer
Continuous monitoring of key parameters
The farm is equipped with advanced sensors that provide a complete view of the production process in real time.
Monitored environmental parameters
Solution acidity (pH), electrical conductivity (EC), air and solution temperature, humidity, water flow, fertilizer usage, and electricity consumption — all critical indicators are under constant monitoring.
Accuracy and traceability
Every measurement is automatically accompanied by an exact timestamp, the specific source (sensor), and cryptographic proof of authenticity.
Eliminating the human factor
Full automation of data collection eliminates manual entry errors and provides a continuous view of the status of all production processes.
Oracle Layer: Data Reliability
Automatic Validation
Every few minutes, the system automatically checks incoming data for anomalies, missing values, and possible technical sensor errors.
After successful validation, the data is consolidated into a structured report for a short time window (5–15 minutes).
Cryptographic Verification
A digital fingerprint (hash) of each verified report is recorded in the GoQuorum blockchain — a concise proof that the data existed at a specific point in time.
Result: A provable history of farm operations, where every piece of information can be independently verified.

Blockchain as a digital notary: Any participant in the ecosystem can verify the authenticity of the data and confirm that it has not been altered retroactively
Data Storage and Quality Control
1
Additional Validation
Checking values for correctness within acceptable ranges, cross-referencing between different sensors, and analyzing parameter relationships to identify inconsistencies.
2
Maintenance Tracking
Storing data with all sensor calibrations and maintenance records, including a complete history of equipment replacements and settings.
3
Status Logging
Maintaining a detailed log of each sensor's status (operational / requires review / replaced) for full data traceability.
Quality Guarantees:
Data is not lost or distorted, the full history of changes can be traced, and analytics are built only on verified, high-quality sources.
AI Layer: Artificial Intelligence
Human-in-the-loop decision-making
After validation and storage, the data is analyzed by advanced machine learning algorithms. The system does not make decisions autonomously — it helps specialists make more accurate and well-informed decisions.
Forecasting
AI analyzes historical data and predicts changes in key environmental parameters, as well as potential crop yield based on current conditions.
Process optimization
The system suggests adjustments to spray intervals, lighting, and nutrient solution composition to improve efficiency and reduce operating costs.
Risk warnings
When anomalies are detected (pH spikes, sensor outages), AI immediately notifies operators to help prevent crop losses.
AI: Explainability and Control of Decisions
Transparent Recommendations
All AI suggestions are accompanied by brief explanations using large language models (LLMs), so the operator understands the logic behind each recommendation.
Proposals are not applied automatically — the final decision always remains with the human and must be approved by the agronomist.
100%
Human Control
All critical decisions are made only by operators
15 min
Response Time
Average time from anomaly detection to notification
95%
Forecast Accuracy
Achieved accuracy of yield models
Additional transparency: All recommendations are recorded on the blockchain for presentation to auditors and investors.
Smart Contracts: Programs of Trust
Automated rules without manual intervention
On the blockchain, smart contracts operate as programs that execute strictly according to predefined conditions and act as “programs of trust” for all participants in the ecosystem.
Token issuance and accounting
Each token is issued and circulated according to transparent rules embedded in the contract’s immutable code.
Connection to real-world data
Smart contracts “know” which verified reports and periods the tokens relate to, ensuring a link to the farm’s actual performance metrics.
DAO voting
Participants in the ecosystem can make decisions together, such as report frequency and new features, by voting with tokens.
Security mechanisms
The “pause” function allows the contract to be temporarily suspended to fix critical bugs or review incidents.
Integration API Layer
Secure connection to the financial ecosystem
The integration layer ensures secure interaction between the blockchain, the farm, and financial infrastructure, making data available to all participants while maintaining privacy compliance.
Operating principles:
  • Data is available to investors, partners, and regulators
  • Excessive details are not disclosed
  • Full compliance with KYC/AML and PDPA
  • Role-based access control
Target integrations:
  • TouristDigiPay sandbox
  • E-money operators
  • Licensed exchanges and brokers
  • Analytics dashboards
TouristDigiPay Integration
Token Purchase
The user purchases the token from a licensed broker or exchange participating in the TouristDigiPay program
Conversion to THB
When the token is sold, it is legally converted into Thai baht at the current exchange rate
E-wallet Top-up
THB is credited to the user's electronic wallet issued by a certified e-money operator
Retail Payments
The funds can be used to pay for goods and services nationwide just like ordinary money

Key advantage: The token becomes available to tourists without the need to open a Thai bank account, and the process fully complies with SEC requirements
Integration with e-money Operators
Operator Partners:
  • TrueMoney — Thailand's largest e-money operator
  • Rabbit Line Pay — a popular electronic payments platform
  • Other licensed electronic money operators
Automated Process:
The project automatically interacts with operators to credit funds and display balances in real time.
All transactions undergo mandatory verification and are logged, ensuring complete reporting and transparency for regulatory authorities.
Benefits for Users:
Instant fund crediting, the ability to use familiar payment apps, and full integration with Thailand's existing payment infrastructure.
Integration with Licensed Exchanges
Legal Channels
Providing on-ramp and off-ramp operations for the token — the ability to buy and sell in THB in accordance with SEC rules
Unified KYC Standards
User verification according to approved standards, including tourists and non-residents, ensuring security
Operational Transparency
Access to token movement tracking through user dashboards and analytics dashboards
AML Compliance
Guaranteed compliance with anti-money laundering requirements and prevention of unauthorized transactions
Result: A transparent and reliable infrastructure that is clear to users and regulators, eliminating informal exchange channels.
Dashboards and Analytics for Stakeholders
A single “trust window” for all participants
For investors
Access to key operational metrics: yield, resource efficiency, and environmental parameter stability. An objective assessment of project performance and reduced investment risk.
For regulators
Aggregated indicators and reports confirming compliance with SEC, BOI, and AML/KYC requirements. Simplified oversight and audit of all operations.
For the internal team
Comprehensive data for analysis, planning, and process optimization. Decision-making based on facts, not assumptions.
Interface design principles:
  • Visualization through charts, diagrams, and indicators
  • Aggregated data without excessive detail
  • Access structure aligned with PDPA compliance
Token Economic Model
Asset-backed logic
The token is backed by observable production metrics — yield and resource efficiency — with aggregates recorded on the blockchain.
Important: No return is promised — only actual KPIs and a transparent calculation methodology are published.
Token utility functions:
  • Access to farm analytics data
  • Preferences in partner agri-services
  • Participation in DAO voting on development
  • Priority access to new products
Token Use Flows
1
Crypto → THB
Buying/selling the token through a licensed intermediary in compliance with KYC requirements
2
THB → E-wallet
Conversion into Thai baht through an exchange participating in the TouristDigiPay program
3
E-wallet → Retail
Crediting THB to an electronic wallet and using it for retail payments nationwide

Regulatory compliance: Direct payments with crypto assets are not claimed — full reliance on channels approved by the Thailand SEC
Production Financing through Tokenization
Raising capital against transparent metrics, with funds directed toward farm scaling and R&D. Transparent data significantly reduces investment risk for all participants.
Risk Management: Data Governance
1
Data Quality
Continuous monitoring of incoming data quality, regular sensor calibration, and oversight of the condition of all measurement equipment.
2
Backup and Replication
Multiple backups of critical data and replication to geographically distributed storage centers.
3
Audit Trail
A complete change log with timestamps and digital signatures to ensure traceability of all data operations.
Risk Management: Model Governance
Versioning and Testing
  • Strict version control for all datasets and AI models
  • Hold-out validation and backtesting
  • Continuous monitoring of model drift
  • Scheduled reviews of hypotheses and metrics

There was an error generating this image

Operational Safety Guardrails
AI operates exclusively in human-in-the-loop mode — all critical production parameter changes require mandatory approval from an operator or agronomist.
Regulatory Limits and Control
Strict compliance with partner rules and TouristDigiPay, detailed logging of all events, and an emergency stop function (pause) in smart contracts if incidents are detected.
Transparency and Access to Information
Open Aggregate Dashboard
Public access to aggregated performance indicators without disclosing personal or sensitive commercial data
Role-Based Access
Structured permission system: each participant receives access only to the information required for their role
PDPA Compliance
Full compliance with the Personal Data Protection Act through data minimization and clear rules for data usage
Transparency balance: Maximum openness to build trust, while strictly maintaining confidentiality and data protection requirements.
Key Performance Indicators (KPI)
98%
Time in the "green corridor"
Share of time maintaining optimal pH/EC parameters
85%
Capacity utilization rate
Efficiency of production space utilization
40%
Resource savings
Reduction in water/energy/fertilizer consumption per kg of output
KPI: Data Quality and AI Efficiency
Data Quality Metrics
AI Impact on Production
  • Δ Yield: +25% vs. the baseline period
  • Δ Cost of Goods Sold: -18% reduction in costs
  • Forecast Accuracy: 94% alignment
  • Response Time: 12-minute average delay
All metrics are calculated using an approved and transparent methodology, with the option for independent verification.
KPI: Market Metrics and Liquidity
95%
Legitimate Transactions
Share of transactions through licensed on-ramp/off-ramp channels
2.3%
Trading Pair Spread
Average bid/ask spread on partner exchanges
$1.2M
Monthly Volume
Trading volume of the token through legitimate channels
Goal: Ensure sufficient token liquidity for convenient investor entry and exit while strictly complying with all regulatory requirements.
Current Project Status
1
Q4 2028: Technical Foundation
GoQuorum blockchain deployed, basic IoT sensor infrastructure configured, and the first smart contracts for token issuance implemented
2
Q1 2028: MVP Launch
Pilot farm launched with a full data collection cycle, initial cryptographic fingerprints recorded on the blockchain, and basic monitoring dashboards
3
Q2 2029: AI Integration
Deployment of the first ML models for yield forecasting, with a human-in-the-loop recommendation system
4
Q3 2029: Fintech Partnerships
Integration with TouristDigiPay sandbox, connection to the first licensed broker, and launch of legal conversion channels
Achieved Results
Technical Achievements:
  • Stable blockchain infrastructure operation 99.8% of the time
  • Successful recording of 15,000+ cryptographic hashes
  • Integration of 45 IoT sensors with 96% data validity
  • First AI models with 87% forecast accuracy
Business Results:
  • 18% increase in crop yield compared to the baseline period
  • 32% reduction in water losses thanks to optimization
  • 24% reduction in energy costs through smart management
  • 100% product traceability through QR codes
Regulatory Achievements
BOI Digital Innovation
Received preliminary approval in the Digital Innovation category, opening access to tax incentives and simplified procedures
SEC Compliance
All processes were designed in accordance with SEC requirements, with readiness for a full audit and a transparent token operating model
TouristDigiPay Readiness
Technical integration is ready to connect, all sandbox requirements have been met, and final approval is pending

Compliance-first approach: All technical solutions were designed from the outset to meet regulatory requirements, which minimizes risk and accelerates the approval process
Growth Plan: 2028
Production scaling
Increasing farm area by 3x, introducing new crops (greens, berries, medicinal plants), and expanding geographic coverage
Advanced AI
Launching computer vision models for plant health assessment, predictive analytics to prevent diseases and pests
Partnership network
Onboarding 5+ licensed brokers, integrating with major e-money operators, and expanding distribution channels
International expansion
Exploring opportunities to launch similar projects in Singapore, Malaysia, and other ASEAN jurisdictions
Technological Innovations 2027
Computer Vision
Implementation of machine vision systems for automatically assessing plant health, determining the optimal harvest time, and detecting diseases at an early stage.
High-resolution cameras will analyze leaf color, fruit size, and other visual parameters in real time.
Predictive Analytics
Development of machine learning models to predict disease outbreaks and pest infestations based on data from microclimate conditions, plant health, and external factors.
The system will warn of risks 3–7 days before they occur, enabling preventive measures to be taken.
Revenue Growth Sources
Product Sales
45% - Direct sales of premium vegetables and greens to restaurants and retail
Token Commissions
25% - Commissions from token trading and service fees for data access
Consulting and Licensing
20% - Licensing the technology to other farmers and agribusiness consulting
Data Monetization
10% - Selling aggregated data to research institutions and agribusiness companies
Investment Needs
Series A Funding Round: $2.5M
Use of Funds:
  • $1.2M (48%) - Expansion of production capacity
  • $600K (24%) - R&D and development of the AI platform
  • $400K (16%) - Marketing and partnership development
  • $300K (12%) - Working capital and team expansion
Expected Outcomes:
  • Increase production by 5x by the end of 2026
  • Achieve profitability by Q3 2026
  • Onboard 3+ major retailers
  • Launch international expansion
Investor Terms:
Preferred shares with participation in value growth, board seat for the lead investor, and transparent reporting through blockchain dashboards.
Investor Profile
Venture Capital Funds
Funds specializing in AgTech, FinTech, or blockchain projects with a focus on the Southeast Asia region and investment sizes of $500K-$1M
Family Offices
Family investment offices interested in ESG investments and long-term sustainable growth with transparent reporting
Corporate Investors
Agribusiness holdings, fintech companies, and technology corporations seeking strategic partnerships and new markets
Competitive Advantages
Unique technology integration
The first project combining IoT + AI + Blockchain + RegTech in agriculture with full compliance in Thailand
Data transparency
The only platform with verifiable production data on blockchain and real-time monitoring
Regulatory readiness
Compliance-by-design approach with readiness for TouristDigiPay and BOI Digital Innovation approval
Fintech integration
Full integration with Thailand's existing financial ecosystem through licensed partners
Competitive Analysis
Key differentiator: We are the only player combining advanced agri-tech with blockchain verification and full fintech integration in compliance with local regulatory requirements.
Project Team
Chief Executive Officer
15 years of experience in agritech and FinTech, former VP at an international agricultural corporation, MBA from Wharton School, fluent in Thai
Chief Technology Officer
PhD in Computer Science, 12 years developing blockchain and AI systems, former lead architect at Ethereum Foundation
Chief Agronomist
MSc in Horticulture, 20 years in industrial hydroponics, author of 15+ scientific publications on aeroponic systems
Chief Financial Officer
CPA, 10 years in investment banking and venture capital, experience working with Southeast Asian regulators, specialization in compliance
Advisory Board
Strategic Advisors:
  • Regulatory Advisor - Former SEC Thailand director, digital assets expert
  • AgTech Advisor - Founder of the largest vertical farm in Singapore
  • Blockchain Advisor - Co-founder of an Ethereum-based DeFi protocol with $100M+ TVL
  • Marketing Advisor - Former CMO of a leading Thai FinTech startup
Technical Partners:
  • Kasetsart University - research partnership
  • NIDA Business School - MBA programs and internships
  • ConsenSys - blockchain technical support
Risks and Mitigation
1
Regulatory Risks
Potential changes in digital asset legislation
Mitigation: Ongoing engagement with regulators, a compliance-first approach, and readiness to adapt quickly
2
Technological Risks
Equipment failures, cyberattacks, and issues with IoT sensors
Mitigation: Redundancy for critical systems, regular backups, insurance, and security audits
3
Market Risks
Changes in agricultural product prices, cryptocurrency volatility
Mitigation: Revenue diversification, hedging, and long-term contracts with buyers
4
Operational Risks
Plant diseases, supply issues, and a shortage of qualified personnel
Mitigation: AI monitoring of plant health, multiple suppliers, and staff training programs
Social Impact and ESG
Water Savings
90% less water compared to traditional agriculture
Carbon Footprint
75% reduction in CO2 emissions thanks to local production
Job Creation
High-tech jobs for the local population
Education
Training programs in modern agrotechnologies
Food Security
Stable production of high-quality products year-round
Key Partnerships
Government Partners
BOI Thailand (Board of Investment), SEC Thailand, and the Bank of Thailand — regulatory support and compliance
Financial Partners
Licensed crypto exchanges, e-money operators (TrueMoney, Rabbit Line Pay), and participants in the TouristDigiPay program
Technology Partners
ConsenSys for blockchain development, AWS for cloud infrastructure, and leading IoT solution providers
Commercial Partners
Restaurant chains, premium retailers, hotels, and hospitals — direct buyers of high-quality products
Roadmap to 2028
2028 Q1-Q2
Completion of Series A, launch of full-scale production, integration with TouristDigiPay
2028 Q3-Q4
Achievement of profitability, launch of AI computer vision, expansion of the partner network
2029
International expansion into Singapore and Malaysia, licensing the technology to third parties
2030
IPO or strategic exit, becoming a leader in AgTech-blockchain solutions in ASEAN
Investor Exit Opportunities
Strategic exit options:
  • IPO (2028-2029) - Public listing on the SET exchange or international markets upon reaching $50M+ in revenue
  • Strategic acquisition - Sale to major agribusiness groups, fintech corporations, or tech giants
  • Management buyout - Buyout of equity stakes by the management team upon reaching sustainable profitability
Projected returns:
IRR: 35-45% depending on the scenario
Multiple: 8-15x with successful execution of all plans
Timeline: 4-6 years to a liquidity event
Conclusion: A Unique Opportunity
We are creating the future of sustainable agricultural production
Our project presents a unique opportunity to invest in the convergence of four megatrends: the AgTech revolution, blockchain transparency, AI optimization, and RegTech compliance.
"We are not just growing vegetables — we are building the trust infrastructure for the future of food security, where every tomato has a digital passport and every investor sees real-time returns"
Why now:
  • Regulatory clarity in Thailand for blockchain projects
  • Growing demand for transparent and sustainable investments
  • Technological maturity of IoT, AI, and blockchain solutions
  • Government support through the Thailand 4.0 program
Invitation to Partnership
For Investors
Join the agtech revolution with transparent reporting and measurable results
For Partners
Let’s build an ecosystem of sustainable production and financial innovation together
For Regulators
We are ready to become a model of responsible innovation in digital assets and the AgTech sector
Next Steps:
What We Offer:
  • A detailed due diligence package
  • Visit to an operational farm
  • Blockchain dashboard demonstration
  • Meeting with the team and advisors
Contact Information:
Email: pilprod@leafcoin.org
Address: Phuket, Thailand
Website: leafcoin.org
Made with