Investor brief

A defensible robotics platform for the next generation of precision agriculture.

Agriculture is being forced to move from broad, chemical-heavy treatment to data-driven, plant-level intervention — by regulation, climate, labour and economics, all at once. AgroMind is building the autonomous system that operates where this transition actually happens: inside the canopy.

Request the full deck
Thesis

The next leg of agtech is not data — it's autonomous action.

A decade of agtech has produced impressive observation platforms — satellites, drones, sensors, dashboards. None of them close the loop. AgroMind operates where observation ends and treatment begins: insect-scale robots that detect, decide and act on individual plants, 24 hours a day.

Market

A large, growing market with structural pressure to change.

$24B+
Global AgriTech market (2028)

Driven by precision agriculture, autonomous systems and AI.

14.7%
CAGR

Sustained double-digit growth across the forecast window.

40–70%
Pesticide-use reduction target

Mandated reductions across EU and tightening across other major markets.

Standard
Precision agriculture, by 2028

Shifting from category to baseline expectation for high-value crops.

Why now

Four forces are arriving at once.

The combination is what matters. None of these alone would be enough — together, they make precise, autonomous plant protection commercially necessary, not just technically interesting.

  • AI revolution. Computer vision and on-device inference finally meet field reliability.
  • Climate & regulation. Sharper limits on chemicals are squeezing growers who have no precision alternative.
  • Precision agriculture shift. Buyers expect data-driven inputs. The category is moving from premium to baseline.
  • Autonomous systems maturity. Robotics, edge compute and multi-agent coordination are now field-deployable, not lab-only.
Coffee orchard at dawn
Competitive landscape

No current solution combines what AgroMind does.

Existing tools operate either too late, too broadly, or without acting at all. AgroMind is the first system to detect, treat and verify at the point where problems begin.

Capability
Drones, scouting, spraying, info platforms
AgroMind
Operates inside the canopy
No
Yes — primary operating environment
Detects pre-symptomatic damage
Rarely
Designed for it
Acts on the plant
Indirect / requires human intervention
Direct micro-treatment
Closes the loop (verifies)
No
In-situ verification scan
Autonomous 24/7
No
Yes
Business model

Robot-as-a-Service. Recurring revenue from day one.

Growers don't buy robots — they buy a monthly service that protects their crop. The revenue model scales with crop area, treatment frequency and the value the system delivers.

REVENUE · 01

Robot-as-a-Service

Monthly subscription tied to plot size and crop type. Includes hardware, software, maintenance and treatment service. Predictable to model, easy for growers to adopt.

REVENUE · 02

Outcome-linked treatment

Treatment events priced against value delivered — chemicals saved, labour replaced, yield protected. The grower pays for impact, not equipment.

REVENUE · 03

Platform & data layer

Long-term, the digital twin and field-level dataset become independent products — usable by agronomists, food companies and research partners.

₪800–2,400
Modelled annual savings
per dunam, per crop
3 channels
B2C · B2B · B2B2C
Growers, agronomists, retail
Recurring
Subscription revenue
from first deployment
Expandable
Same platform, more crops
Coffee → vines → orchards
Defensibility

A moat built from integration, IP and embedded operations.

The hard part of this market isn't any single component — it's making the full stack work reliably in the field, at a unit cost growers can absorb, while learning across plots and seasons. Three layers of defensibility compound:

  • Integrated technology stack. Hardware, edge AI, swarm coordination, digital twin and cloud — engineered as one system around one problem.
  • Patents pending across four areas. Robotic hardware, the field control capsule, detection and treatment algorithms, and the grower application layer.
  • Data & operational moat. Every plot the system operates in produces training data and operational knowledge that competitors can't replicate from the outside.
AGRO-SCOUT robot on coffee branch
Roadmap

Milestone-driven, capital-efficient.

Each phase is scoped to a clear capital event and a clear technical milestone — designed so investors can see what their capital unlocks before the next round.

2025 · ALPHA
Architecture & first build

System architecture locked. First prototype unit. Core team formation across robotics, AI and agronomy.

2026 · MVP
Field-ready MVP

1–3 robots inside the canopy. Closed-loop detect-treat-verify on a single pest, in a controlled coffee plot.

2027 · PILOTS
Multi-grower pilots

Commercial pilots across selected coffee orchards. Full digital twin. First paying customers under RaaS structure.

2028+ · SCALE
Commercial deployment

Robot-as-a-Service rollout. Expansion to vineyards and adjacent high-value crops. International deployment.

Team

Operators, not observers.

The founders are not researchers describing agriculture from the outside. Both run real farms and have built real agricultural products. The technical work is built on lived operational understanding.

Founder & CEO

Oz Kafri

Entrepreneur in agriculture and technology · Founder, LaChaklai.Israel

Advancing the next generation of smart farming. Runs an experimental coffee orchard. Hands-on experience launching agricultural ventures and developing innovative solutions for smart agriculture.

Co-Founder & CTO

Yair Viner

Robotics, smart systems, applied innovation

Leads technology development and system architecture, with a focus on robotics, smart systems and applied innovation. Owner of a pick-your-own tourism farm.

Hiring

Robotics & ML leadership

Field robotics · Computer vision · Edge AI

We're actively building the core technical team. If you'd like to be considered, get in touch.

Full team page
Get in touch

Raising to take AgroMind from architecture to field-ready MVP.

We're actively engaging with mission-aligned investors. The full pitch deck, financial model and technical brief are available on request.

Request the deck Email Oz directly
Stage
Architecture & prototype

Use of funds
Team build, MVP, first pilots

Contact
ozkafri@gmail.com
linkedin.com/in/ozkafri