Zordi operates autonomous hydroponic greenhouses that combine AI, robotics, and machine learning to continuously monitor and adjust temperature, humidity, light, and nutrients for optimal crop quality and yield. Mobile robots handle planting, pruning, and harvesting while a cloud‑based dashboard provides remote monitoring and analytics, enabling commercial growers and urban farms to produce consistent, high‑quality produce at scale.
Funding
$35M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional greenhouse farming often relies on manual labor and static environmental controls, leading to inconsistent crop quality, lower yields, and limited scalability across different locations.
Solution
Zordi operates autonomous hydroponic greenhouses that integrate artificial intelligence, robotics, and machine learning to continuously monitor and adjust environmental parameters. Mobile robots handle planting, maintenance, and harvesting tasks, while AI-driven control systems optimize temperature, humidity, light, and nutrient delivery in real time. This automation ensures uniform, high‑quality produce throughout the growing season and reduces labor costs. Data collected from sensors feed predictive models that further improve yield efficiency and enable remote management of multiple greenhouse sites.
Target Audience
Primary customers are commercial growers, food retailers, and agribusinesses seeking consistent, high‑quality produce at scale, as well as urban farming operators looking for compact, automated greenhouse solutions.
Features
- Fully autonomous environmental control system that continuously balances temperature, humidity, CO₂, and lighting using AI algorithms
- Mobile robotic units for seeding, pruning, and harvesting, minimizing human intervention
- Hydroponic cultivation platform with precise nutrient dosing and water recycling for resource efficiency
- Real‑time sensor network and machine‑learning analytics that predict growth outcomes and adjust conditions proactively
- Cloud‑based dashboard providing remote monitoring, performance metrics, and automated reporting