A new vision for
the food industry

Using AI vision technologies to create a smarter, more secure future for food.

Optimize seed & food supply chains with the world's first AI seed analysis platform.

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What We Do

the potential
of every seed and grain

Imagine identifying the quality or genetic traits of your seeds, without a genetic test or plant-level phenotyping. Imagine the time, agri inputs and human resources you could save.

Seed-X’s AI-powered seed-level phenotyping
is a game-changer for the entire farm to fork ecosystem.


Make better selections, faster.


Improve seed quality in real time.


Achieving 100% seed & grain QC accuracy


Smart solutional to maximize
seed quality, purity and value



The most exciting and advanced AI seed research analysis tool available today. Gain actionable insights and data to enrich your seed research, breeding programs and seed production.



Boost revenues with AI-powered seed-by-seed sorting and qualification according to use cases


OS f3.0 AI

General Availability mid-2024



Seed/grain imaging, detection and classification system enables seed/grain-level phenotyping. Increase speed, resource-efficiency and quality of your research.

Service Center

AI can revolutionize industries and enhance our lives.

At Seed-X, we’re dedicated to helping seed companies,
nurseries, and producers of all levels fulfill the potential
of each seed batch with our unique technology to the
fullest. Our AI experts work tirelessly to maximize the
value of each seed batch in our sorting centers.

You have a lot that doesn’t meet the cut.

We got you cover!

25 repeat
(service center)

Operating 2 service
centers currently –
additional 2 to open in

with 50+ seed



Commercially upgrade
more than 2000kg premium
vegetable seeds

Catered to
more than 10 unique
use cases


seed-level phenotyping

Seed-X’s breakthrough GeNee™ technology is powered by advanced computer vision, proprietary deep learning algorithms, and state-of-the-art image classification.

Developed by a multidisciplinary team of experts from the fields of computer vision, artificial intelligence and plant genetics, Seed-X’s technology is uniquely capable of identifying traits (health, purity, quality, etc.) solely by phenotype analysis, making it non-destructive to seeds.

Watch video

& Grain Research

Improve probability of success and enrich populations, speed up breeding cycles and lower costs.

  • Accelerate time to market
  • Reduce research costs
Request demo


Turn zero value batches into market value batches, while reducing costs and logistical complexity with seed-by-seed sorting.

  • Increase percentage of market value batches
  • Improve cost efficiencies
  • Reduce logistical complexity
  • Improve confidence in purity, germinability and traceability
Request demo


Improve seed sampling, time to market at a lower cost while ensuring the highest quality.

  • Improve cost efficiencies
  • Reduce logistical complexity
  • Improve quality assurance
  • Sort for GMO
  • Enable traceability
Request demo

Seed-X’s breakthrough GeNee™ technology is powered by advanced computer vision, proprietary deep learning algorithms, and state-of-the-art image classification.

Developed by a multidisciplinary team of experts from the fields of computer vision, artificial intelligence and plant genetics, Seed-X’s technology is uniquely capable of identifying traits (health, purity, quality, etc.) solely by phenotype analysis, making it non-destructive to seeds.

Adding value to every player in the seed & food ecosystem

1. Seed & Grain Research

Seed-level phenotyping provides actionable data that improves seed research.

2. Seed-X Data Center

Seed phenotyping data is modeled and analyzed in the cloud using Seed-X's proprietary GeNee™ technology. Results are delivered to users in minutes.

3. Seed & Food Production

Classification of individual seeds & grains by quality attributes of choice are leveraged to optimize the quality & value of every batch produced.


Astonishing results in a variety of applications

Seed-X has analysed thousands of seed lines and classified hundreds of different seed and grain traits.

Discover the trailblazing results across a wide range of applications.


What's the difference between color/optical seed sorting and Seed-X technology?

Optical sorting is the automated process of sorting seeds using imaging devices. Optical sorters sort seeds by looking
at a few morphological parameters, usually by color, size, and shape.

Seed-X’s core technology is based on machine vision and AI using a deep learning algorithm.

The technology is integrated into optical sorters by partnering with existing optical sorting machinery manufacturers.

The new “AI-powered by Seed-X” sorters can sort by color, size, and shape (like a regular optical sorting machine) but
can also use an advanced additional capability to train an algorithm by use case.

The AI brings the advantage of collecting thousands of different parameters (instead of only a few) and training a
smart algorithm to find the correlation between these parameters to the desired use case.

With this ability, you can sort not by parameter but by use case.

For example: Germination, usable plant, uniformity, genetic purity, blind seeds, and many others.

Does the algorithm work only for germination? Any additional use cases?

Seed-X’s core technology is based on machine vision and AI using a deep learning algorithm.

The algorithm can be trained to multiple use cases based on the pain points and requirements of the customer.

We specialize in major seed quality use cases:
• Germination level
• Usable plant (vigor)
• Seeds uniformity
• Genetic purity cases – self, out-cross, technical failure

The algorithm could be trained for many other diverse quality parameters, such as:
• Plant debris
• Blind seeds
• Ploidy level
• Confidential use cases based on customer requirements

Can I predict the results before sorting?

During your first germination/usable plant test, we will train the AI algorithm with the germination phenotype
data. At the end of the training, the algorithm provides a prediction of the results, together with the amount of
waste predicted, and creates a “classifier” (set of rules to use within the optical sorting machine). You will be able
to choose the required germination/usable plant level while considering the amount of waste.

Before we start the sorting, we present
the customer with the below form to
agree on the sorting elements and give
the estimation of the sorting results.
Can I request the desired level of germination?

Yes, you can request the desired germination level.
The initial level of germination will play a crucial part in the waste percentage, for example:

Why are you focusing only on five main crops? Is there a limitation to the technology?

There is no limitation to the technology. We can train the AI algorithm to work for all types of crops and
different use cases.

Having said that, deep learning algorithms have many parameters that need to be tuned and therefore
require considerable data before delivering generalizable models. Therefore, having the requisite data is key
to producing suitable training sets and robust results with minimal waste.

In order to provide the best service, we chose to start with premium vegetable seeds:

• Tomato
• Rootstocks
• Pepper
• Eggplants

• Watermelon
• Melon
• Squash
• Cucumber


Why do we need to train the algorithm? What is the required training seed amount?

The algorithm uses thousands of data points collected from the seed image. While using accumulated data from
billions of images, the AI finds the correlation between the high-quality seeds and creates a classifier.

Very soon, we will no longer need to train the algorithm.

Deep learning algorithms have many parameters that require tuning when reaching a point whereby we will
have enough data to create generalizable models. So, in that sense, having large amounts of data is key to
generating strong training sets.

We believe we will create a uniform classifier for tomato and pepper seeds that will not require any training
before the year has ended.

Deep learning progress

*Specific crops

What about data protection?

The data used for training is only images and the related phenotype; we do not need or use any confidential data
regarding the seeds. All accumulated data is stored and secured via the Amazon cloud.

The data is used to train and enrich the algorithm’s capabilities.

Each customer can access ONLY their own data through the Seed-X Envision platform.

If you do not want the algorithm to expose your data, and you do not want to enjoy the power of the accumulated data
(only images and related phenotyping), we do offer a dedicated server in the cloud that will serve only your company.

Please note! If you choose a dedicated server, you will not be exposed to the accumulated data of other customers,
which means the training process will be long, and costly. The results might be inferior until we’ve compiled a large
enough database.

Can I try technology before purchasing a machine?


We support two proof-of-concept (POC) experiments free of charge for new customers* to present the AI capabilities
and ensure your confidence in the technology.

The POC involves practically building a classifier that will be able to sort and upgrade your seed lot.

After receiving the results, you will be able to sort your lot via our commercial sorting services.

Prerequisites for a POC:
• Stock batches with germination level above 60%-85%
• Crops:

• Tomato (inc. cherry and rootstocks)
• Pepper
• Melon/watermelon, cucumber, squash

The POC location can be either in the Netherlands or Israel.

*A new customer is one who has not previously conducted a test with Seed-x technology

Upgrading services process

The process is comprised of three main phases:

Algorithm training process


After the training, Seed-X presents the predictions of the algorithm.

The client chooses: Upgrade value | Waste level | Upgrade use case, as below


Why is filling in the background information about the seeds in the questionnaire so important?

The more information you provide, the better the results we can provide. For example, if we’ve sorted many from
the same variety (or close genetics) previously, we can use its data as a starting point to better optimize the
results of your lot.

What types of reports can envision share?

By entering into the digital AI arena, you can enjoy many benefits of using imaging and AI capabilities.

When you upgrade your seed batches using Seed-X technology, we provide valuable reports such as:
• Seed batch morphological data analysis (size, length, width, shape, color, etc.)
• Evaluation tool to compare different seed production (seed uniformity)
• Seed research report to evaluate the correlation between seed morphology to seed quality
• Many others to come



Founder & Chairman

As President and Chief Operating Officer of FDNA, Moshe Dahan oversees the company’s strategic goals across the product, development, and marketing departments. With more than 20 years of experience, Mr. Dahan has helped build numerous companies from the ground up in the tech space, and has advised IT industry leaders in establishing and guiding their IT organizations towards a stronger future.

Prior to his role at FDNA, Mr. Dahan served as Chief Administrative Officer for Infinidat, and has held various leadership roles at organizations such as IBM, NetApp, and Strauss Strategy, among others. He received his Bachelor of Science from Technion-Machon Technologi Le’ Israel.

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GeNee™ Envision Introduction

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GeNee™ Envision Tutorial 01


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GeNee™ Sorter Demo

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