About Seed-X

Seed-X utilizes AI-powered computer vision and deep learning algorithms to perform non-destructive seed-level phenotyping, enabling the identification of genetic traits and quality attributes without traditional testing methods. This technology enhances seed quality and purity while significantly reducing research costs and time to market for seed and food production.

```xml <problem> Traditional seed phenotyping methods are destructive, time-consuming, and expensive, hindering efficient seed selection and quality control in the agriculture and food production industries. Existing optical sorting methods rely only on a few morphological parameters, limiting the ability to sort seeds by complex quality attributes and use cases. </problem> <solution> Seed-X offers an AI-powered seed analysis platform that performs non-destructive, seed-level phenotyping using computer vision and deep learning algorithms. The GeNee™ technology analyzes thousands of parameters from seed images to identify genetic traits and quality attributes without damaging the seeds. This enables seed companies and food producers to improve seed quality, purity, and germination rates in real-time, while also reducing research costs and accelerating time to market. Seed-X integrates its technology into existing optical sorters, enhancing their capabilities with AI-driven classification based on customer-defined use cases, such as germination level, usable plant, seed uniformity, and genetic purity. The platform includes the GeNee™ Envision for research and the GeNee™ Sorter for production-scale sorting. </solution> <features> - AI-powered seed-level phenotyping using computer vision and deep learning - Non-destructive analysis of seeds for various traits and quality attributes - Integration with existing optical sorting machinery to enhance sorting capabilities - Ability to train the AI algorithm for multiple use cases based on customer requirements - Identification of key quality use cases such as germination level, usable plant, seed uniformity, and genetic purity - Cloud-based data analysis and reporting through the GeNee™ platform - Option for dedicated server for data protection and algorithm training - Provides reports on seed batch morphological data, seed uniformity, and correlation between seed morphology and quality </features> <target_audience> Seed-X serves seed companies, nurseries, and food producers seeking to optimize seed quality, purity, and value, as well as accelerate research and reduce costs associated with traditional seed phenotyping methods. </target_audience> ```

What does Seed-X do?

Where is Seed-X located?

Seed-X is based in Wilmington, United States.

When was Seed-X founded?

Seed-X was founded in 2016.

How much funding has Seed-X raised?

Seed-X has raised 20000000.

Location

Wilmington, United States

Founded

2016

Funding

20000000

Employees

27 employees

Major Investors

iAngels

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Seed-X

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Executive Summary

seed-x.com 3K+

Crunchbase

Founded 2016 – Wilmington, United States

Funding

Estimated Funding

$20M+

Major Investors

iAngels

Team (25+)

No team information available.

Company Description

Problem

Traditional seed phenotyping methods are destructive, time-consuming, and expensive, hindering efficient seed selection and quality control in the agriculture and food production industries. Existing optical sorting methods rely only on a few morphological parameters, limiting the ability to sort seeds by complex quality attributes and use cases.

Solution

Seed-X offers an AI-powered seed analysis platform that performs non-destructive, seed-level phenotyping using computer vision and deep learning algorithms. The GeNee™ technology analyzes thousands of parameters from seed images to identify genetic traits and quality attributes without damaging the seeds. This enables seed companies and food producers to improve seed quality, purity, and germination rates in real-time, while also reducing research costs and accelerating time to market. Seed-X integrates its technology into existing optical sorters, enhancing their capabilities with AI-driven classification based on customer-defined use cases, such as germination level, usable plant, seed uniformity, and genetic purity. The platform includes the GeNee™ Envision for research and the GeNee™ Sorter for production-scale sorting.

Features

AI-powered seed-level phenotyping using computer vision and deep learning

Non-destructive analysis of seeds for various traits and quality attributes

Integration with existing optical sorting machinery to enhance sorting capabilities

Ability to train the AI algorithm for multiple use cases based on customer requirements

Identification of key quality use cases such as germination level, usable plant, seed uniformity, and genetic purity

Cloud-based data analysis and reporting through the GeNee™ platform

Option for dedicated server for data protection and algorithm training

Provides reports on seed batch morphological data, seed uniformity, and correlation between seed morphology and quality

Target Audience

Seed-X serves seed companies, nurseries, and food producers seeking to optimize seed quality, purity, and value, as well as accelerate research and reduce costs associated with traditional seed phenotyping methods.