AgricxLab

About AgricxLab

The startup develops smartphone stack software that utilizes computer vision and artificial intelligence to assess the quality and size of agricultural products through image analysis. This technology enables businesses to efficiently procure agri-produce by providing accurate quality assessments, reducing costs, and ensuring easy access to product information.

<problem> The agri-produce procurement process often suffers from inconsistent quality assessments, leading to inefficiencies, increased costs, and difficulty in accessing reliable product information. Subjective human evaluation can be inaccurate and time-consuming, hindering efficient trading and supply chain management. </problem> <solution> Agricx provides a smartphone-based software solution that leverages computer vision and artificial intelligence to objectively assess the quality and size of agricultural products. By analyzing images captured via smartphone, the platform delivers accurate and consistent quality assessments, enabling businesses to streamline their procurement processes. This technology facilitates efficient agri-produce trading by providing easy access to reliable product information, reducing costs associated with manual inspection, and improving overall supply chain visibility. The AI-powered image analysis ensures standardized evaluations, minimizing discrepancies and promoting fair transactions between buyers and sellers. </solution> <features> - AI-powered image analysis for objective quality assessment of agri-produce - Smartphone-based platform for easy and accessible data capture - Real-time size and quality grading based on computer vision algorithms - Secure data storage and reporting for traceability and transparency </features> <target_audience> The primary target audience includes agricultural businesses, food processors, distributors, and retailers involved in the procurement and trading of agri-produce. </target_audience>

What does AgricxLab do?

The startup develops smartphone stack software that utilizes computer vision and artificial intelligence to assess the quality and size of agricultural products through image analysis. This technology enables businesses to efficiently procure agri-produce by providing accurate quality assessments, reducing costs, and ensuring easy access to product information.

Where is AgricxLab located?

AgricxLab is based in Thane, India.

When was AgricxLab founded?

AgricxLab was founded in 2016.

How much funding has AgricxLab raised?

AgricxLab has raised 790000.

Location
Thane, India
Founded
2016
Funding
790000
Employees
6 employees

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AgricxLab

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Executive Summary

The startup develops smartphone stack software that utilizes computer vision and artificial intelligence to assess the quality and size of agricultural products through image analysis. This technology enables businesses to efficiently procure agri-produce by providing accurate quality assessments, reducing costs, and ensuring easy access to product information.

agricx.com1K+
cb
Crunchbase
Founded 2016Thane, India

Funding

$

Estimated Funding

$500K+

Team (5+)

No team information available.

Company Description

Problem

The agri-produce procurement process often suffers from inconsistent quality assessments, leading to inefficiencies, increased costs, and difficulty in accessing reliable product information. Subjective human evaluation can be inaccurate and time-consuming, hindering efficient trading and supply chain management.

Solution

Agricx provides a smartphone-based software solution that leverages computer vision and artificial intelligence to objectively assess the quality and size of agricultural products. By analyzing images captured via smartphone, the platform delivers accurate and consistent quality assessments, enabling businesses to streamline their procurement processes. This technology facilitates efficient agri-produce trading by providing easy access to reliable product information, reducing costs associated with manual inspection, and improving overall supply chain visibility. The AI-powered image analysis ensures standardized evaluations, minimizing discrepancies and promoting fair transactions between buyers and sellers.

Features

AI-powered image analysis for objective quality assessment of agri-produce

Smartphone-based platform for easy and accessible data capture

Real-time size and quality grading based on computer vision algorithms

Secure data storage and reporting for traceability and transparency

Target Audience

The primary target audience includes agricultural businesses, food processors, distributors, and retailers involved in the procurement and trading of agri-produce.

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