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Daxo Industries

Daxo Industries builds AI‑driven autonomous harvesting robots that use an ultra‑redundant, muscle‑array robotic hand with over 250 degrees of freedom for delicate fruit picking. The system combines computer‑vision, machine‑learning perception, and weather‑resistant hardware to identify ripe fruit, navigate complex canopies, and operate continuously in orchards, reducing reliance on seasonal labor while preserving produce quality.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Fruit orchards face increasing labor shortages and high seasonal labor costs, making it difficult to harvest fruit efficiently and consistently. Traditional harvesting equipment often lacks the dexterity needed to handle delicate produce without damage, limiting productivity and fruit quality.

Solution

Daxo Industries develops AI‑driven autonomous robotic systems that combine an ultra‑redundant, high‑degree‑of‑freedom robotic hand with advanced harvesting machinery (AutoZapper). The hand’s muscle‑array actuation provides human‑like dexterity and reliability, enabling gentle fruit picking and handling. Integrated computer‑vision and machine‑learning algorithms guide the robot to locate, assess ripeness, and harvest fruit across varied canopy structures. The system operates autonomously in orchard environments, reducing dependence on seasonal labor while maintaining high fruit quality. Daxo’s platform is designed for scalability, allowing growers to deploy multiple units for large‑scale commercial trials.

Target Audience

Primary customers are commercial orchard growers and fruit production companies seeking to automate seasonal harvesting, as well as agribusinesses that require high‑precision fruit handling to preserve quality.

Features

  • Ultra‑redundant muscle‑array actuation delivering more than 250 degrees of freedom for precise, delicate manipulation
  • AI‑powered perception stack with vision and sensor fusion to identify fruit, assess ripeness, and navigate complex canopy geometry
  • Autonomous control algorithms that coordinate hand movements with mobile harvesting platform for continuous operation
  • Weather‑resistant hardware built for outdoor orchard conditions, including dust, moisture, and temperature variations
  • Modular design allowing the robotic hand to be integrated into existing harvesting equipment or standalone picking robots
  • Real‑time performance monitoring and remote diagnostics via cloud connectivity for fleet management
This profile is AI-generated and may contain inaccuracies.