Autonomous inspection robot operating inside an intelligent greenhouse
Autonomous Greenhouse Intelligence

The intelligence layer for greenhouse farming.

AGRINEX AI unifies robotics, computer vision, IoT sensing, and digital twins to turn greenhouse operations into an adaptive food production system.

The operational gap

Greenhouses produce data.
Operators still carry the uncertainty.

Today’s controlled environments are sophisticated—but fragmented tools, periodic inspection, and delayed signals make it hard to convert control into true autonomy.

Invisible crop risk

Stress and disease can develop between manual inspection cycles.

Disconnected systems

Climate, irrigation, crop, and labor data often live in separate workflows.

Reactive decisions

Teams respond to symptoms without a continuously updated view of the whole system.

One adaptive operating layer

From fragmented signals
to coordinated intelligence.

AGRINEX AI is being built as a closed-loop platform: it sees what is happening, understands why it matters, and orchestrates the next best action.

AGRINEX / System intelligence Live model
AGRINEX AI
01

Perception

Multimodal sensing builds a consistent view of every growing zone.

02

Intelligence

AI models translate complex signals into risk, prediction, and priority.

03

Orchestration

Decisions connect to people, robots, and greenhouse control systems.

The intelligence loop

Designed to get smarter
with every growing cycle.

A continuous pathway from physical reality to informed intervention—and back again.

01

Observe

Robots and sensors continuously capture crop, climate, and infrastructure data.

02

Understand

Computer vision and AI interpret plant health, risk, and operational conditions.

03

Decide

The platform prioritizes actions against yield, quality, resource, and risk goals.

04

Act

Robotic and connected systems turn decisions into precise field-level interventions.

05

Learn

Every outcome enriches the digital twin and improves the next decision cycle.

Autonomous inspection robot

A persistent pair of eyes
inside the greenhouse.

A mobile inspection platform designed to navigate greenhouse aisles, capture high-resolution crop data, and extend consistent observation across the growing environment.

Repeatable crop-level imaging
Environmental and spatial sensing
Continuous inspection route coverage
Edge intelligence with cloud coordination
Inspection node / concept
Sensor fusionRoute active
Live spatial model
continuously updated
Digital twin agriculture

A living model of the
entire growing system.

The digital twin brings crop state, climate, equipment, and operational history into one evolving model—giving teams a shared source of truth and AI a context for better decisions.

Unified system state
Predictive scenarios
Cross-system context
Learning over time
Strategic impact

Infrastructure for a more
resilient food future.

Crop intelligence

Earlier visibility into health, development, and variability at crop level.

Operational resilience

Consistent monitoring and decision support across every shift and season.

Resource precision

A foundation for aligning inputs with real crop and environmental needs.

Scalable expertise

Capture agronomic knowledge in a system that can support growing operations.

Market opportunity

Built where food security meets intelligent infrastructure.

01

Controlled environments

Greenhouse operators need visibility and coordination as production systems become more complex.

02

Arid-region food security

Resource-constrained regions need technology that strengthens local, reliable production.

03

Automation readiness

Robotics and connected control systems create a path from insight to physical action.

04

Compounding intelligence

The platform becomes more valuable as operational context and learning accumulate.

Leadership team

Building across intelligence,
hardware, and operations.

A founding team aligned around the technical and commercial disciplines required to build autonomous food production infrastructure.

Prashath Kandasamy profile

Prashath Kandasamy

Founder & CEO

Leads company strategy, product vision, AI platform architecture, partnerships, and fundraising.

Chathuri Lakshini Subasinghe profile

Chathuri Lakshini Subasinghe

Co-Founder, Finance & Strategy

Supports financial planning, business operations, governance, and commercial strategy.

Charith Perera profile

Charith Perera

Co-Founder, Technology & Product Development

Supports technology development, product engineering, and technical execution.

Ayantha Fernando profile

Ayantha Fernando

Co-Founder, Innovation & Research

Supports research, innovation, AI exploration, and future product capabilities.

Sumedha Sakalasooriya profile

Sumedha Sakalasooriya

Co-Founder, Operations & Business Development

Supports operational planning, partnerships, and market development.

Strategic partnerships

Let’s build the future of resilient food production.

We welcome conversations with greenhouse operators, investors, food security organizations, research partners, and technology collaborators.