Inarix

About Inarix

Inarix employs artificial intelligence and image analysis technology to improve the precision of visual data interpretation across various industries. The startup targets inefficiencies in data processing and decision-making that arise from reliance on image-based information.

```xml <problem> Traditional grain quality assessment relies on manual inspection and lab equipment, which is time-consuming, costly, and can delay decision-making for agricultural actors. Inconsistent analysis methods and a lack of real-time data hinder efficient resource allocation and optimization of grain value from harvest to storage. </problem> <solution> Inarix provides an AI-powered image analysis platform that enables instant crop quality assessments using a smartphone. The PocketLab mobile application analyzes images of grains to determine key quality metrics, replacing the need for multiple machines and lab tests. This allows for smarter decisions and accurate crop valuation directly in the field or storage facility. The Inarix Portal and API facilitate data integration and optimization of grain logistics, increasing transparency and traceability across the supply chain. </solution> <features> - PocketLab: Mobile application for image-based grain analysis using AI - Real-time assessment of wheat, barley, durum wheat, and corn - Measures variety, protein rate, broken grains, and TKW (thousand-kernel weight) - Cloud-based platform for data storage, analysis, and reporting - API for integration with existing agricultural management systems - Inarix Portal: Web interface for tracking and managing grain quality data - Deep learning models trained on a large grain image database, continuously updated for accuracy </features> <target_audience> Inarix targets farmers, grain storage organizations, processors, and other agricultural actors who need rapid, accurate, and accessible grain quality assessments. </target_audience> ```

What does Inarix do?

Inarix employs artificial intelligence and image analysis technology to improve the precision of visual data interpretation across various industries. The startup targets inefficiencies in data processing and decision-making that arise from reliance on image-based information.

Where is Inarix located?

Inarix is based in Paris, France.

When was Inarix founded?

Inarix was founded in 2018.

How much funding has Inarix raised?

Inarix has raised 3650000.

Location
Paris, France
Founded
2018
Funding
3650000
Employees
42 employees

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Inarix

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Executive Summary

Inarix employs artificial intelligence and image analysis technology to improve the precision of visual data interpretation across various industries. The startup targets inefficiencies in data processing and decision-making that arise from reliance on image-based information.

inarix.com1K+
cb
Crunchbase
Founded 2018Paris, France

Funding

$

Estimated Funding

$3M+

Team (40+)

No team information available.

Company Description

Problem

Traditional grain quality assessment relies on manual inspection and lab equipment, which is time-consuming, costly, and can delay decision-making for agricultural actors. Inconsistent analysis methods and a lack of real-time data hinder efficient resource allocation and optimization of grain value from harvest to storage.

Solution

Inarix provides an AI-powered image analysis platform that enables instant crop quality assessments using a smartphone. The PocketLab mobile application analyzes images of grains to determine key quality metrics, replacing the need for multiple machines and lab tests. This allows for smarter decisions and accurate crop valuation directly in the field or storage facility. The Inarix Portal and API facilitate data integration and optimization of grain logistics, increasing transparency and traceability across the supply chain.

Features

PocketLab: Mobile application for image-based grain analysis using AI

Real-time assessment of wheat, barley, durum wheat, and corn

Measures variety, protein rate, broken grains, and TKW (thousand-kernel weight)

Cloud-based platform for data storage, analysis, and reporting

API for integration with existing agricultural management systems

Inarix Portal: Web interface for tracking and managing grain quality data

Deep learning models trained on a large grain image database, continuously updated for accuracy

Target Audience

Inarix targets farmers, grain storage organizations, processors, and other agricultural actors who need rapid, accurate, and accessible grain quality assessments.

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