Agrinorm Company Profile

Background

Overview

Agrinorm is a Swiss-based technology company specializing in advanced quality control software for the fresh produce supply chain. Founded in 2019, the company leverages artificial intelligence (AI) to manage quality risks, streamline data sharing, and enhance operational efficiency within the industry. Agrinorm's mission is to revolutionize fresh produce sourcing through digitalization and AI, enabling direct collaboration between buyers and growers to reduce waste and adapt to climate change.

Mission and Vision

Agrinorm's mission is to transform the fresh produce industry by providing innovative solutions that address the complexities of quality management and supply chain volatility. The company's vision is to create a sustainable and efficient supply chain model that benefits all stakeholders, from growers to consumers.

Primary Area of Focus

Agrinorm focuses on digitizing procurement and quality management processes in the fresh produce sector. By integrating AI and machine learning, the company aims to optimize product quality, pricing, and sustainability, thereby enhancing the overall efficiency of the supply chain.

Industry Significance

In an industry characterized by perishable goods and complex logistics, Agrinorm's solutions are significant for their potential to reduce food waste, improve quality standards, and increase profitability for stakeholders. The company's innovative approach addresses critical challenges such as supply chain volatility and the need for real-time quality monitoring.

Key Strategic Focus

Core Objectives

Quality Risk Management: Utilize AI to predict and manage quality issues within the supply chain.

Supply Chain Optimization: Enhance operational efficiency by streamlining data sharing and communication among stakeholders.

Sustainability: Reduce food waste and environmental impact through improved quality control and supply chain practices.

Specific Areas of Specialization

AI-Driven Quality Control: Develop software that leverages machine learning algorithms to analyze quality reports and provide actionable insights.

Supply Chain Digitization: Create platforms that digitize procurement and quality management processes, facilitating better decision-making.

Key Technologies Utilized

Artificial Intelligence (AI): Employ machine learning algorithms for quality prediction and risk management.

Data Analytics: Analyze supply chain data to identify trends and optimize processes.

Cloud Computing: Utilize cloud-based platforms for real-time data access and collaboration.

Primary Markets or Conditions Targeted

Fresh Produce Industry: Serve wholesalers, distributors, exporters, and packers involved in the fresh produce supply chain.

Global Supply Chains: Address challenges related to supply chain volatility, quality control, and sustainability on a global scale.

Financials and Funding

Funding History

Agrinorm has secured multiple funding rounds to support its growth and technological development:

Seed Round (December 2022): Raised $1.00 million, led by QBIT Capital and supported by investors including Cornelia Gut, Thomas Dübendorfer, Nicolas Cepeda, David Studer, and Ronald Strässler.

Convertible Note (June 2021): Amount undisclosed, with participation from SICTIC.

Pre-Seed Round (July 2020): Amount undisclosed, with participation from SICTIC.

Grant (January 2020): Amount undisclosed.

Total Funds Raised

Approximately $1.00 million in disclosed funding.

Intended Utilization of Capital

The funds are intended to further develop Agrinorm's AI-powered software, expand its customer base, and enhance its technological capabilities to address the challenges in the fresh produce supply chain.

Pipeline Development

As a technology company, Agrinorm's pipeline focuses on the continuous development and enhancement of its software solutions:

Product Development: Ongoing refinement of AI algorithms for quality prediction and risk management.

Market Expansion: Plans to extend services to new regions and increase adoption among fresh produce industry stakeholders.

Feature Enhancement: Introduction of new features to improve user experience and address emerging industry needs.

Technological Platform and Innovation

Proprietary Technologies

AI-Powered Quality Control Software: A platform that utilizes machine learning to analyze quality reports and provide actionable insights.

Supply Chain Digitization Tools: Software solutions that digitize procurement and quality management processes, facilitating better decision-making.

Significant Scientific Methods

Machine Learning Algorithms: Used for quality prediction and risk management within the supply chain.

Data Analytics Techniques: Employed to analyze supply chain data, identify trends, and optimize processes.

Leadership Team

Key Executives

Daria Reisch: Co-founder and CEO, with a background in technology and a focus on innovation in the fresh produce industry.

Sharon Wulff: Co-founder and CTO, specializing in AI and machine learning applications for supply chain optimization.

Leadership Changes

No significant leadership changes have been reported.

Market and Competitor Overview

The fresh produce industry faces challenges such as perishable goods management, supply chain volatility, and the need for real-time quality monitoring. Agrinorm's solutions address these issues by providing AI-driven tools for quality control and supply chain optimization.

Agrinorm operates in a competitive landscape with other companies offering quality control and supply chain management solutions. Key competitors include:

Company A: Focuses on AI-driven quality monitoring for perishable goods.

Company B: Provides supply chain optimization software with real-time data analytics.

Company C: Specializes in sustainability solutions for the fresh produce industry.

Agrinorm has established partnerships with investors and industry stakeholders to enhance its technological capabilities and market reach. The company differentiates itself through its AI-powered software solutions, which offer real-time quality visibility and supply chain optimization. Its focus on digitizing procurement and quality management processes provides a competitive edge in the market.

Strategic Opportunities and Future Directions

Strategic Roadmap

Product Enhancement: Continuously improve AI algorithms and software features to meet evolving industry needs.

Market Expansion: Extend services to new regions and increase adoption among fresh produce industry stakeholders.

Sustainability Initiatives: Develop solutions that further reduce food waste and environmental impact within the supply chain.

Future Business Directions

Agrinorm aims to solidify its position as a leader in AI-driven quality control and supply chain optimization for the fresh produce industry. The company plans to scale its innovative sourcing methods globally, addressing challenges related to supply chain volatility and sustainability.