Investor Relations

Building the
operating system
for the field.

AUROX is an autonomous field systems company redefining how Brazilian agriculture controls weeds — replacing broad-spectrum chemical applications with surgical, mechanical precision at the plant level. We are at the intersection of precision ag, robotics, and the most urgent input cost problem in soy production today.

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01 — The Problem

The field has a
resistance problem.

Buva (Conyza spp.) is the most economically damaging weed in Brazilian soy. It is now resistant to glyphosate in over 25 countries. At least 6 major species have confirmed resistance across Brazil's soy belt — costing R$9B/year in losses. As resistance spreads, farmers are forced into heavier chemical applications at higher cost, lower efficacy, and mounting regulatory risk.

The current solution — broadcast spraying — treats the entire field to kill a fraction of weeds. It is expensive, wasteful, and accelerates resistance. There is no precision mechanical alternative at scale. Until now.

A second structural driver is active: China's GACC quarantine standards are triggering phytosanitary rejections of Brazilian soy exports when quarantine weed seeds appear in harvested grain. Field-level elimination before seed set is the only durable solution — creating demand at the trading company level (Cargill, COFCO, CHS) in addition to the farm level.

50M+ Hectares of soy in Brazil
R$9B+ Annual losses from resistant weeds
6+ Resistant species in Brazil's soy belt
02 — The Solution

BYEBUVA

An autonomous robotic system that identifies and mechanically eliminates buva at the plant level — using onboard computer vision, edge AI, and selective mechanical actuators. Zero cloud dependency. Zero herbicide. Designed to operate at scale across Brazil's soy and corn belt.

01
DETECT

Onboard RGB cameras continuously scan the terrain. Every plant captured, classified, and georeferenced — in real time, with no cloud dependency.

02
DECIDE

Embedded AI identifies buva at the plant level using a proprietary dataset built from Brazilian fields. Crop safe. Weed targeted. On-device inference only.

03
ACT

A selective mechanical arm descends on confirmed targets. Zero herbicide applied. The crop untouched. The job done — autonomously.

Edge AI No cloud Mechanical arm RaaS model
03 — Business Model

Robotics as
a Service.

Aurox operates the full stack — hardware, software, maintenance, and field operations. Farmers pay per hectare treated. Zero capital expenditure. Zero integration friction. We bring the system; they keep farming.

This model aligns our incentives with outcomes: we earn when the system runs, scales as fleet grows, and compounds as our dataset deepens with each season in the field.

R$150/ha Target price per hectare
300ha Daily coverage per system
Zero Herbicide applied
~76% Gross margin target
04 — Traction

Where we are
right now.

Pre-Seed · Building
Q1 2026
Strategic definition complete

Product specification, business model, and go-to-market strategy defined. ARX-1 technical architecture validated from first principles. Seed round initiated.

2026
Seed round · Team · First build

Close seed funding. Assemble founding engineering team. Begin ARX-1 prototype construction — mechanical arm array, perception system, and autonomous navigation.

Q2 2027
First field tests

ARX-1 prototype tested in live soy crops. Mechanical weeding accuracy, navigation reliability, and operational endurance validated in Brazilian field conditions.

Safra 27/28
First commercial season

First paid RaaS deployments. Revenue from hectares treated. Fleet and operational playbook built for scale into subsequent seasons.

Built by a team with roots in robotics, computer vision, and Brazilian agribusiness. Currently raising seed to fund prototype construction and first field validation. Team details available in the pitch deck.

Interested in
investing?

We are currently raising our seed round. If you are a fund or angel investor focused on agtech, deeptech, or Latin America — we would like to speak with you.