Tevel Aerobotics Technologies

A Fleet of Autonomous Airborne Robots for Fruit Harvesting

Agritech, Crop, Drones
Artificial Intelligence Computer Vision Deep Learning

Business Overview

We, at Tevel Aerobotics Technologies are combining airborne patented robotics platform, with sophisticated algorithms, to create the world’s leading autonomous concept for orchard harvest and management. Tevel develops a fleet of drones for performing picking, thinning and pruning tasks in orchards. Tevel’s airborne approach provides a holistic harvesting solution to the farmer.

Operating Status
Active
Founded
August 2016
Employees
29
Business model
B2B
Offering type
Hardware, Software
Business stage
Beta
Funding stage
Series B
Total funding
$33.9 Million
Sectors
Agritech, Crop, Drones, Fleet, Harvest, orchard, Robotics

Founders

Tevel Aerobotics Technologies
Yaniv Maor
CEO,CTO

Pitch Deck

Funding Rounds

New wpDataTable

Date Announced

Funding Round

Amount Raised

Investors

AI Technology Stack

AI Description

Tevel develops an innovative IP estate, which is protected by a number of broad patents in different complimentary fields: Tevel’s UAV concept and mechanics, mapping for harvesting and data collection, fleet management, holistic farm management. Artificial Intelligence (AI) Vision Algorithms: Fruit detection, fruit classification, foliage detection and more objects detection. AI Perception Algorithms: Data fusion and fruit tracking. Maneuver Algorithms: Optimal trajectory planning and execution. Balancing Algorithms: Balance the forces applied on the UAV by foliage and fruit. Mapping, Data Collection and Analysis: Data collection of fruit quality and quantity of each tree in the orHarvesting Optimization: Fleet management optimization algorithms for harvesting based on orchard data

AI employees
5
AI application
Vertical AI
AI types
Artificial Intelligence, Computer Vision, Deep Learning
ML types
Reinforcement Learning
AI algorithms
3D Navigation Algorithms, Convolutional Neural Network (CNN), Deep Feed Forward, GANs, Kalman Filtering, Signal Processing, SLAM
AI tools
Keras, Pytorch, TensorFlow
Coding
C++, Matlab, Python
AI hardware
GPU

AI Team

Tevel Aerobotics Technologies
Adi Taflia
Head of R&D
Tevel Aerobotics Technologies
Yotam Iterator
Senior AI developer
Tevel Aerobotics Technologies
Grisha Hodos
Aeronaeronautics engineering team leader

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Startup Snapshot

Total funding
$33.9 Million
Operating Status
Active
Founded
August 2016
Funding stage
Series B

CONTACT

Mul Tel Nof
Israel
HQ

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