TRL 6 · Pre-Series A Agrifood AI EU + Türkiye

Aligning food
production with
real demand.

A predictive coordination platform connecting crop supply intelligence with structured buyer demand — reducing food loss before inefficiencies occur.

See How It Works → Accelerator Fit
UN Sustainable Development Goals
SDG 2
SDG 2
Zero Hunger
 SDG 8
SDG 8
Decent Work
 SDG 12
SDG 12
Responsible Production
 SDG 13
SDG 13
Climate Action
TRL 6
Components validated in real field environments
1.05B t
Food wasted in 2022 — 19% of all food available to consumers UNEP 2024
$10.5T
Global food market size in 2024 Savills 2024
$940B
Annual economic cost of food loss & waste UNEP 2024
8–10%
Of global GHG emissions from food loss & waste — 5× aviation UNFCCC 2024
The Problem

The food system is
fundamentally misaligned.

Producers and buyers operate in silos. Supply chains react after mismatches occur — not before. The result is structural, predictable, and solvable.

Problem 01
Blind production.
No demand visibility.

Farmers make planting and harvesting decisions without reliable insight into actual market demand — volume, timing, or quality requirements. 48% of farmers globally cite price volatility as their top risk to profitability. McKinsey 2024

13% + 19% lost in supply chain + wasted at consumer level — 1.05 billion tonnes total FAO / UNEP 2024
Problem 02
Uncertain procurement.
No supply foresight.

Retailers commit to procurement without reliable foresight into future supply — creating overstock, shortfalls, and price volatility. Food loss & waste generates 8–10% of global GHG emissions — nearly 5× aviation. UNFCCC / WRAP 2024

$940B estimated annual economic cost of food loss & waste globally UNEP 2024
Problem 03
Reactive execution.
Too late to adapt.

Existing solutions optimise isolated parts of the chain — crop monitoring or logistics — but never connect supply with demand in a coordinated, pre-harvest way. Large farms are 45% more likely to adopt agtech than small ones, widening the gap. McKinsey 2024

Problem 04
Structural waste.
Every season, every market.

The disconnect produces overuse of water, fertilisers, energy — alongside compressed margins for both sides. Wasted food occupies 28% of all agricultural land and one-quarter of agriculture's freshwater globally. UNEP 2024

Sources FAO 2024 UNEP Food Waste Index 2024 McKinsey Global Farmer Insights 2024 UNFCCC 2024 WRAP 2024
The Solution

From reactive execution
to predictive coordination.

AgriGrid X introduces a coordination layer before execution — enabling earlier, better-informed decisions for every participant in the food value chain.

Platform Flow · 5 Steps
📡
Field Data Collection
Drone-based multispectral sensing captures crop health, growth stage, and environmental conditions at field level.
🧠
AI Prediction Engine
Edge AI estimates yield volume, quality grade, and harvest timing weeks before execution.
📊
Demand Structuring
Buyer signals — procurement history, forward commitments, pricing expectations — aggregated and structured.
🔗
Coordination & Matching
Predicted supply aligned with exact buyer needs. Harvest routing and allocation optimised.
📑
Decision & Transaction
Forward contracts executed. Value locked before physical delivery occurs.
⚡
System-level, not silo optimisation
Connects supply and demand layers into a unified view — end-to-end coordination before inefficiencies occur, not after.
🎯
Pre-harvest intelligence
Supply predictions generated weeks before harvest enable earlier commercial decisions — reducing forced selling, stockouts, and quality degradation.
🌐
Digital twin of the supply chain
A live representation of supply and demand conditions — a coordination layer that compounds in value as more participants join.
🔒
Financial layer as differentiator
Forward contract execution, pricing tools, and risk instruments embedded in the workflow. Exit becomes costly; lock-in is structural.
Technology

Four-layer decision
infrastructure.

Each layer contributes a distinct capability. Together they form a platform that is difficult to replicate and deepens in value with scale.

01Layer
📡
Supply Intelligence
Autonomous drone infrastructure with multispectral and thermal sensing. Edge AI predicting yield volume, crop quality, and harvest timing at field resolution.
Hardware + AI
02Layer
📈
Demand Structuring
Aggregated buyer signals — historical procurement, forward commitments, pricing expectations — structured into machine-readable demand profiles.
Data Platform
03Layer
⚙️
Coordination Engine
AI matching layer aligning predicted supply with buyer demand. Generates harvest routing, storage timing strategies, and allocation optimisation.
AI Matching
04Layer
💰
Financial Layer — Critical Differentiator
Forward contract execution, pricing optimisation tools, and risk management instruments embedded directly in the coordination workflow.
FinTech Edge
Competitive Position

The competitive
void.

Existing players optimise individual silos. AgriGrid X is the only platform operating at the system coordination level across all four dimensions simultaneously.

Category Predicts Supply Pre-Harvest Structures Future Demand Real-Time Coordination Financial & Pricing Layer
Farm Tech (Precision Ag)✓✗✗✗
Supply Chain (Logistics)✗✗✓✗
Marketplaces (Trading)✗✗✗✓
AgriGrid X✓✓✓✓
Traction

Validated components.
Real-world readiness.

Core technology validated at TRL 6. The next phase is integrated pilot deployment across real supply chain environments.

✓ TRL 6
Field-Tested Infrastructure
Drone and multispectral sensing infrastructure fully validated in real agricultural environments. Autonomous deployment tested across multiple field configurations.
🤖 AI Models
Predictive AI Models
Machine learning models for yield volume, crop quality, and harvest timing developed and validated on real agronomic datasets. Performance benchmarks established.
🤝 Market
Market Validation
Active early engagement with producers and buyers confirms strong demand for predictability, pricing stability, and supply visibility. Pilot geographies defined.
Next Milestone
Integrated end-to-end pilot deployment
Onboarding targeted farms and buyers simultaneously to validate full transaction flow in a real supply chain environment.
€500K – €1M
Pilot + Platform Validation
UN Sustainable Development Goals

Built for measurable
planetary impact.

AgriGrid X directly advances four UN SDGs by reducing structural food loss, enabling efficient resource use, and building resilience across the food value chain.

SDG 2 Zero Hunger
Zero Hunger
783 million people faced food insecurity in 2022, yet 1.05 billion tonnes of food were wasted that same year. Demand-supply coordination directly reduces pre-market losses.
How AgriGrid X contributesPre-harvest matching reduces overproduction and losses, directing more food to where demand exists. UNEP Food Waste Index 2024
SDG 8 Decent Work
Decent Work & Economic Growth
64% of North American and 55% of European farmers anticipate lower profits in 2024. Price volatility and supply uncertainty are the primary drivers of this decline.
How AgriGrid X contributesForward contracts and demand-linked pricing stabilise producer income and reduce supply chain employment risk. McKinsey Global Farmer Insights 2024
SDG 12 Responsible Production
Responsible Consumption & Production
Food waste is predicted to reach 2.1 billion tonnes/year by 2030, costing $1.5 trillion annually. 28% of agricultural land grows food that is never consumed.
How AgriGrid X contributesDemand-aligned production reduces overuse of land, water, and fertilisers per unit of food sold. WRAP / UNEP 2024
SDG 13 Climate Action
Climate Action
Food loss & waste generates 8–10% of global GHG emissions — nearly 5× the aviation sector. Agrifood systems account for 30% of all human-caused emissions.
How AgriGrid X contributesEliminating unnecessary transport, storage, and disposal reduces embedded supply chain emissions per unit delivered. UNFCCC 2024
Sources UNEP Food Waste Index 2024 FAO State of Food & Agriculture 2024 McKinsey Global Farmer Insights 2024 UNFCCC / WRAP 2024 Savills Global Food Market 2024 WRI 2024
Business Model

Revenue aligned with
value created.

A multi-layered B2B model scaling across three dimensions: land coverage, transaction volume, and network density.

🌿
Producer SaaS
Farmers & cooperatives
€20–50 / ha / yr
🏭
Buyer SaaS
Distributors, processors, retailers
€1K–5K / mo
💎
Transaction Fee
Matched supply-demand volume
1–3% GMV
📑
Financial Layer
Forward contracts & pricing tools
Contract fees
🔌
Enterprise API
ESG & traceability reporting
Custom
Scale Metrics
Target land coverage
100K ha
Hectares onboarded across EU + Türkiye target geographies
Target transaction volume
€200M+
Gross merchandise value coordinated annually at maturity
Revenue potential
Multi-million €
Annual recurring revenue at network maturity
Team

Deep tech execution meets
commercial system building.

A rare combination of autonomous systems expertise and high-stakes commercial architecture — built to execute on both the technology and the market.

MA
Mehmet Ihsan Ataolur
CEO — The Tech Engine
Deep expertise in autonomous systems and drone infrastructure. Proven track record of real-world deployments in complex operational environments. Strong technical leadership in remote sensing and AI-based operational systems.
Autonomous Systems Drone Infrastructure Edge AI
BU
Berk Ulutuncel
COO — The Commercial Engine
12+ years in venture capital, startup growth, and commercial system design. Early team member in a $1.7B exit. Designed and executed AI-native go-to-market and operational scaling systems across multiple companies.
Venture Capital GTM Strategy $1.7B Exit
★★★★ ★★★★ ★★★★
Accelerator Fit

At the right stage
for the right programme.

What's needed now is access to real supply chain environments, research infrastructure, and a European industry network — not more lab time.

🏭
Real Supply Chain Access
Pilot deployment requires direct access to producers, cooperatives, and food industry partners — real environments to validate end-to-end transaction flow.
🔬
Research & Validation Infrastructure
Rigorous validation of food loss reduction and supply chain efficiency impact requires collaboration with leading agrifood research institutions.
🌍
European Market Entry
Scaling across EU markets requires institutional networks, regional connections, and programme-backed credibility to accelerate buyer and producer onboarding.
🎯 Primary Theme Alignment
Smart & Low-Carbon Supply Chains
AgriGrid X eliminates structural food waste and reduces carbon intensity across supply chain operations through predictive, demand-aligned coordination — a direct match for programmes targeting low-carbon food system transformation.
🌱 Secondary Theme Alignment
Future Resilient Agriculture
By enabling proactive, data-driven adaptation to supply volatility, climate variability, and market uncertainty, AgriGrid X builds structural resilience for producers — aligned with programmes focused on agriculture's adaptive capacity.