MEQ Solutions Scores $15.3 Million to Digitize Red Meat Grading
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MEQ Solutions Scores $15.3 Million to Digitize Red Meat Grading

New York VC Insight Partners backs the Adelaide agtech's AI-powered meat quality analysis platform.

12/15/2025
Ali Abounasr El Alaoui
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Adelaide-based agtech firm MEQ Solutions has secured US$15.3 million in a Series A funding round led by New York's Insight Partners. This investment will accelerate the company's mission to digitize quality assessment within the global red meat industry. The funding marks a pivotal moment for the startup as it aims to replace subjective inspections with data-driven technology.


Revolutionizing a Trillion-Dollar Industry

The global red meat market, valued at $1.5 trillion, has long depended on manual and subjective visual grading for quality control. This traditional method leads to inconsistencies and inefficiencies across the international supply chain. MEQ Solutions addresses this challenge by introducing a system that provides objective, data-backed analysis for this critical sector.

Founded in 2016, the company developed an integrated system combining hardware with advanced AI software to measure meat quality. Its technology, including specialized probes and cameras, provides real-time data on crucial attributes like eating quality and composition. This innovation brings a new level of precision to a process that has remained largely unchanged for decades.

Pioneering Technology and Regulatory Approval

A key component of MEQ's product suite is the MEQ Camera, a sophisticated video-based application for processing facilities. This tool utilizes proprietary imaging and AI models to deliver instant, accurate assessments of beef carcasses. The technology provides processors with actionable insights at critical points in the supply chain, improving decision-making.

In a landmark achievement, the MEQ Camera recently received certification from the United States Department of Agriculture for beef grading. This world-first endorsement validates the system's accuracy and reliability, opening significant commercial pathways within the U.S. market. The certification underscores the company's position as a leader in agricultural technology innovation.

Strategic Growth and Industry Collaboration

The newly acquired $15 million will be strategically deployed to fuel the company's next phase of expansion and development. A primary focus will be on growing the team to support increased demand and further refine its technological offerings. This investment enables MEQ to scale its operations and enhance its global market presence.

Founder and CEO Remo Carbone emphasized that the funding will deepen collaboration with industry partners to unlock new value. He stated the company is installing "truth infrastructure" for the red-meat industry to create greater consistency and trust. This approach highlights a commitment to transforming an entire ecosystem rather than just selling a product.

Investor Confidence and Future Outlook

The investment from Insight Partners, a prominent software-focused venture capital firm, signals strong confidence in MEQ's vision. Connor Guess, a vice-president at the firm, described MEQ Solutions as well-positioned to become a category-defining company. This backing from a major international investor provides substantial validation for the Australian startup's business model.

Guess noted that MEQ's combination of hardware, software, and AI represents the next frontier for the food production industry. He highlighted its potential to enhance transparency, traceability, and performance from farm to consumer. This perspective frames MEQ's work as a critical step forward in modernizing global food supply chains.


This Series A funding round propels MEQ Solutions into a new era of growth, equipping it to revolutionize the red meat industry. By replacing subjective assessments with objective, AI-powered data, the company is poised to enhance efficiency and trust globally. The investment validates MEQ's innovative approach and signals a shift toward data-driven decision-making in food production.