Tevel Aerobotics Technologies

Tevel is addressing the extreme shortage in agricultural labor through fruit-picking Flying Autonomous Robots™. Founded in 2017 by CEO Yaniv Maor, Tevel’s flying robots are powered by state-of-the-art artificial intelligence and computer vision algorithms, enabling them to delicately pick fruit and optimize the harvesting process. These robots are agile, showcasing exceptional maneuverability, and can operate around the clock, providing cost-efficient solutions for farmers. Additionally, Tevel’s cutting-edge software allows for real-time monitoring of the orchard’s harvesting status. The data collected by our software provides farmers with unique insights into the specific characteristics and contents of each bin prior to its delivery to the packing house. This enables growers to eliminate uncertainties regarding market value, quality, and output. Through Tevel’s user-friendly software, farmers can easily access information such as the quantity of fruit harvested, its weight, color grading, ripeness, diameter, timestamp, geolocation of each fruit, and other vital data. Tevel’s headquarters are located in Israel, with branches in Italy and the United States. For more information, visit www.tevel-tech.com. Follow us on LinkedIn, Twitter, Youtube and Vimeo.

http://www.tevel-tech.com

51-200 employees

Growth Trajectory

Tevel is poised for growth by expanding its services to more regions and fruit types, focusing on continuous data collection and improving AI perception, vision, maneuver, and balancing algorithms. The company's partnerships with major agricultural businesses in Italy, the US, and Chile, along with participation in international trade shows, signal further market penetration and adoption of its robotic harvesting solutions.

Technical Challenges

Ensuring data security of data transmission and storage methods.

Improving website accessibility based on user feedback.

Detection of fruit, foliage, and other objects, including fruit classification (size, ripeness, etc.).

Optimal trajectory planning and execution.

Stabilization algorithms.

Tech Stack

Artificial IntelligenceComputer VisionMachine LearningCloud ServicesEncryption TechnologiesGuidance and Control AlgorithmsVision AlgorithmsManeuver AlgorithmsBalancing Algorithms

Team Size

Not explicitly detailed, but inferred to include R&D, engineering, and potentially field support teams.

Key Risks

Ensuring system reliability and consistent performance across diverse agricultural settings and fruit types.

Maintaining compliance with evolving data protection laws and regulations, especially concerning data collection and usage by robots.

Managing unauthorized use of intellectual property, given the company's reliance on proprietary AI and robotics technologies.

Addressing potential pushback from human labor displaced by robotic harvesting solutions.

Opportunities

Leveraging real-time data collection capabilities to offer value-added services like yield prediction and disease detection.

Expanding partnerships with agricultural businesses and technology providers to broaden market reach and enhance service offerings.

Developing new robot functionalities, such as pruning or spraying, to further automate orchard management.

Improving website accessibility and user experience to attract more customers and enhance brand reputation.

Live Data Stream

Access Our Live VC Funding Database

30,000+ funded startups

tracked in the last 3 months

B2B verified emails

of key decision makers

Growth metrics

Real-time company performance data

Live updates

of new VC funding rounds

Advanced filters

for sophisticated queries

API access

with multiple export formats

Access Database

Updated every 5 minutes