NeuPeak Robotics develops autonomous robots that utilize AI algorithms for dexterity-intensive agricultural tasks such as planting and harvesting. These robots mitigate the labor shortage in farming by enhancing operational efficiency and decreasing dependence on manual labor.
Funding
$500K 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
The agricultural sector faces significant labor shortages and inefficiencies in dexterity-intensive tasks such as planting and harvesting, impacting operational costs and overall productivity. Traditional harvesting methods often lead to inconsistencies in fruit quality and potential yield fluctuations.
Solution
Nupeak Robotics offers AI-powered autonomous robots designed to address these challenges by automating complex agricultural tasks. Their robots utilize advanced machine learning algorithms and a soft, gentle Anaconda gripper to ensure consistent and high-quality harvesting. The robots operate under a "Picking as a Service" model, providing farmers with predictable pricing and relieving them of maintenance and operational burdens. Furthermore, the robots gather comprehensive data and analytics during operation, offering insights into yields and enabling proactive management of crop production.
Target Audience
The primary target audience includes agricultural businesses, particularly strawberry, cucumber, and raspberry producers, seeking to automate harvesting processes, improve efficiency, and reduce labor costs.
Features
- Dexter AI: Proprietary AI that learns and adapts to real-world berry-picking challenges without human intervention or hand-coded behavior.
- Anaconda Gripper: A soft, gentle gripper designed for consistent and damage-free harvesting.
- Pixa Harvesting Robot: A next-generation harvesting robot capable of achieving pick rates of 90% or higher.
- Hive AI Platform: A platform for managing the AI training process, from data collection to model deployment, and for fleet management, monitoring, and control.
- Data and Analytics: Continuous scanning and recording of picks to provide analytics and predictions on yields.
- Picking as a Service: Robots operated as a service with fixed per-pound pricing.