Digital identity
Structured profiles for agricultural enterprises, cooperatives and production activity.
Developing progressively
Digitising Agriculture. Connecting Value Chains. Financing Growth.
ExcelAgroVC is developing the common digital infrastructure that connects agricultural production, data, finance, insurance, logistics and market access.
Platform in development
Aerial field intelligence
Field signals
Trusted profiles
Institutional services
Value-chain action
The digital infrastructure beneath a connected agricultural economy.
ExcelAgroVC is designed as a common layer that helps agricultural enterprises and existing institutions work from clearer, consented and more useful information.
It does not replace banks, insurers, logistics companies, public agencies or technology providers. It is intended to connect them around shared agricultural context and interoperable workflows.
EXCELAGROVCCommon digital layer
Agricultural enterprises
Cooperatives & aggregators
Logistics & processors
Banks & investors
Insurers
Government & programmes
One platform. Many participants. One connected value chain.
Each participant keeps its role. The shared infrastructure improves how trusted information and service pathways move between them.
Agricultural enterprisesCooperativesAggregatorsProcessorsInput suppliersLogistics providersBanksInsurersGovernmentInvestorsBuyers & exporters
Infrastructure designed to connect, not compete.
The platform is being developed progressively. Each layer must earn its place through usefulness, governance and responsible integration.
Agricultural data
Consented records that can support traceability, planning and institutional understanding.
Developing progressivelyFinance connectivity
Secure pathways for qualified institutions to assess needs and deliver suitable services.
Developing progressivelyInsurance connectivity
A shared context for risk understanding, product design and claims-support workflows.
Developing progressivelyLogistics & traceability
Connected movement, aggregation and provenance signals across physical value chains.
Developing progressivelyPublic-sector intelligence
Governed, privacy-conscious views that can support policy, programmes and coordination.
Developing progressivelyIntegration APIs
Interoperability for approved technology and institutional systems where appropriate.
Developing progressivelyField signalConsented activity and context
Trusted profileStructured agricultural record
Institution decisionHuman-led assessment
Value-chain actionService, movement or access
Responsible AI supports decisions. It does not replace accountability.
AI is intended for decision support, segmentation, advisory, market intelligence, monitoring and anomaly detection. Participating institutions retain KYC, credit approval and regulatory responsibility.
Personalised guidance must be validated, explained and used with appropriate human oversight.
- TransparencyClear purpose and limits
- Human oversightPeople remain accountable for decisions
- FairnessMonitor outcomes and bias
- PrivacyConsent and proportionate data use
- ExplainabilityUnderstandable signals and reasons
A proposed Kogi pilot designed to learn before scaling.
The Kogi initiative described in the project concept is proposed—not a claim of a live deployment. Its purpose would be to test governance, onboarding, interoperability and practical value in a bounded environment.
- PrepareValidate partners, governance, data responsibilities and pilot scope.
- PilotIntroduce selected capabilities with clear operating ownership.
- LearnMeasure usefulness, inclusion, risk, adoption and service quality.
- Scale responsiblyExtend only what evidence, capacity and safeguards support.
Built from a whole-value-chain view of agriculture.
ExcelAgroVC’s story grew from the MIT Beyond Food Bootcamp in Taiwan, where the work explored sustainability, transparency, health, innovation, processing and the complete food lifecycle.
That whole-system perspective now guides a broader ambition: a digital operating system for agricultural value chains.
Read our storySSustainabilityBuild for durable agricultural value.
EEmpathyUnderstand realities before designing systems.
EEmpowermentIncrease agency through useful infrastructure.
DDiversityDesign for different roles, places and needs.
Technology and advisory network.
Existing innovation and consulting relationships bring complementary experience to the platform vision. Profiles are presented without portrait imagery.
Luciano da Silveira
Innovation partner
Engr. Kassim Musa James
Consulting partner
Craig Chen
Consulting partner
Emmanuel Onoja
Consulting partner
Diego Rhoger
Consulting partner
Mangesh Khadase
Consulting partner
Ideas from across the value chain.
View all insightsDesigning a Proposed Kogi Pilot That Learns Before It Scales
The proposed Kogi initiative is a learning pathway: prepare the governance, pilot selected capabilities, evaluate evidence and scale only what is ready.
Read insightResponsible AI for Agricultural Finance and Advisory
AI can support agricultural decisions without replacing institutional accountability. Five principles guide transparent, human-led and privacy-conscious development.
Read insightWhy Digital Agriculture Needs Shared Infrastructure
Agriculture needs more than isolated digital tools. A shared, governed infrastructure layer can help existing participants coordinate around trusted agricultural context.
Read insightConnect your expertise to the infrastructure agriculture needs.
Start a conversation about institutional integration, technology collaboration, research, policy or a future pilot.