Real operational challenges
Monitoring soil, weather, environmental conditions, and production activities supports growing-area assessments, crop-care planning, and risk management.
INVESTOR BRIEF AGRITECH · VIETNAM
From data
From data
to decisions
in the field.
BOM IoT and LATOI combine sensors, data connectivity, a management platform, and AI to support decisions in the field—from monitoring growing conditions to organizing traceability data.
Transparent information · No undisclosed figures presented as fact
40 hagrowing area
cited in the profile
cited in the profile
2010LATOI · established in Australia
2018BOM Software · established in Vietnam
40 haGrowing area cited in a deployment profile
15 kmMaximum range cited in product quotation*
Based on company materials and product quotations; *actual range depends on terrain, configuration, and installation conditions. These are not revenue, active-customer, or investment-return figures.
01 · Investment thesis
Bridge the gap between field data and operational decisions.
Agricultural operations generate fragmented data. The opportunity is to help producers collect, connect, and use field data through a solution that can be configured to their needs.
An integrated solution
BOM can combine sensors, data transmission, the LATOI platform, AI tools, and traceability rather than providing only a standalone measurement point.
Flexible deployment
Configurations can be adapted to crops, scale, connectivity, and existing systems; APIs and relays support integration.
An established technology foundation
LATOI was established in 2010 and BOM Software in 2018; company materials document technology work, projects, and field deployments.
02 · Products & capabilities
From sensors to actionable data.
The solution architecture consists of layers that can be deployed independently or combined to meet each organization’s needs.
Explore the BOM IoT catalogueBOM IoT · Sensors
Portable and fixed devices monitor soil indicators; the catalogue also includes air, weather, and water monitoring devices, depending on configuration.
Node · Modem · Cloud
Collect and transmit data from measurement points to the system; connectivity is selected for the site and deployment infrastructure.
LATOI.com · Digital platform
Organize growing-area data, production logs, sensor readings, and information for monitoring and sharing.
AI GreenDoctor · Traceability
A reference tool for crop care; QR and blockchain support record trails and lookup of recorded data.
03 · Deployment signals
Experience documented in company materials.
The examples below illustrate the types of challenges featured in company materials; they do not confirm active contracts, recurring revenue, or audited outcomes.
Agriculture · Vietnam & region
HAGL Agri
Company materials describe monitoring and mapping soil nutrients and weather for production areas in Vietnam, Laos, and Cambodia.
Field deployment · 40 ha
Tân Lâm Nguyên Farm
The project profile describes a LoRa system transmitting data across hilly terrain at an approximately 40-hectare durian farm.
AI · Crop management
GreenDoctor
Company materials mention AI GreenDoctor activities with CABI and an application model with the Hung Yen Department of Science and Technology.
Information is based on the BOM Software company profile and the Projects & Events. Investors should verify each project’s scope, timing, and commercial status during due diligence.
04 · Commercial model
Combining hardware, software, and deployment services.
The model should be verified against current contracts, quotations, and financial data during due diligence.
Devices & hardware
Sale of sensors, modems, monitoring devices, and suitable connectivity configurations.
Platform & digital services
Potential data management, software, and feature services offered through usage plans.
Integration & deployment
Consulting, installation, system integration, and support scoped to each project.
05 · Market & customers
Prioritize operations where field data can create value.
Target segments should be validated through customer profiles, sales cycles, and project economics.
Market sizing: TAM/SAM/SOM have not been published in the available materials. A bottom-up estimate should be built from qualified organizations, measurement points, contract value, and actual deployment capacity.
Agribusinesses & growing areas
Needs include monitoring multiple sites, standardizing data, and coordinating operations across production locations.
Farms, cooperatives & producers
Needs include monitoring soil, weather, and growing conditions to support on-farm decisions.
Deployment partners & application programs
Potential collaboration with technology providers, supply chains, and digital agriculture programs.
Enter through a use case, expand by deployment site
Assess needs → deploy a suitable configuration → measure usage → evaluate expansion and integration.
06 · Planned use of funds
Investment can focus on capabilities that scale.
These preliminary priorities are for discussion; allocation, budget, and KPI milestones will be set after agreeing on the round size and operating plan.
Product development
Device reliability, the data platform, integration capabilities, and user experience.
Commercialization & sales
Reaching B2B agriculture customers, deployment partners, and suitable distribution channels.
Deployment & customer support
Survey, installation, training, and post-deployment support processes.
Performance measurement
Standardize product, financial, and operational metrics to manage growth.
The partners we seek
Angel investors bringing both capital and experience.
We welcome investors interested in agritech, IoT, AI, and B2B software who can also help connect customers, partners, or markets.
01Connections with producers and agricultural value chains
02Experience commercializing B2B and hardware-software solutions
03Support in building governance, growth metrics, and an expansion roadmap
Transparency & due diligence
Information to be discussed directly.
This page is an introductory profile, not an offering document or a promise of returns.
Not publicly disclosed: target raise, valuation, equity offered, revenue, margins, paying-customer count, retention, and financial forecasts.
The company should confirm these items with current data. Interested investors can arrange a discussion and request an appropriate due diligence package.
Risks to assess: device performance depends on the environment and configuration; B2B sales and deployments may take time; AI outputs and traceability data depend on input data and producer processes.
Investment contact
Email BOM
Let’s evaluate the digital agriculture opportunity.
Contact BOM to discuss product capabilities, fundraising plans, and due diligence materials.