As global agriculture faces rising quality standards, tighter margins, and increasing operational complexity, leading producers are turning to advanced technology to stay ahead. For Two-a-Day Group, one of Africa’s most established fruit producers, Vision AI is no longer an experiment. It is a strategic pillar.
To improve efficiency in its systems, Two-a-Day Group has entered a research and technology partnership with Score (Subnet 44), a frontier Vision AI company transforming live video into structured intelligence.
The collaboration marks a significant step in expanding how computer vision supports fruit packing and production at scale.
A Partnership Built on Proven Innovation
Two-a-Day is no newcomer to computer vision. For years, the company has deployed image-based systems across its packing operations to support fruit sorting, grading, and starch-level analysis. These capabilities have helped maintain consistent quality across millions of cartons of apples and pears exported globally each year.
As operations scale and expectations from international markets increase, Two-a-Day is now strengthening these systems to deliver greater precision, resilience, and insight across the production line.
The partnership with Score represents the next phase of this journey.
What Score Brings to the Table
Score is a Vision AI company building a decentralised protocol that turns video into real-time operational intelligence. Its platform enables organisations to transform live camera feeds into structured data that supports monitoring, analysis, and prediction.
Score focuses on making computer vision a shared, scalable utility that helps organisations move from reactive responses to predictive decision making.
Across industries including agriculture, manufacturing, retail, sport, and infrastructure, Score helps teams extract actionable insight from environments that were previously difficult to measure in real time.
Expanding Operational and Quality Intelligence
By integrating Score’s Vision AI models into its production environment, Two-a-Day aims to enhance existing systems while unlocking new layers of insight across fruit packing and handling.
The collaboration is focused on accelerating progress in several key areas:
a. Advanced defect detection beyond current sorting thresholds,
b. Finer quality analysis across multiple fruit varieties,
c. Early pattern recognition that signals potential quality or yield risks,
d. Real-time detection of line stoppages, bottlenecks, or irregular flow, and
e. Automated reporting and traceability from intake to finished cartons.
Together, these capabilities support Two-a-Day’s commitment to quality while preparing the operation for future growth and stricter export requirements.
Strengthening Existing Computer Vision Systems
Rather than replacing current tools, the partnership is designed to evolve and expand them.
Score’s models are built to perform in complex agricultural environments where conditions are rarely ideal. Variable lighting, changing conveyor speeds, diverse fruit sizes, and seasonal variation all present challenges that traditional systems struggle to handle consistently.
By integrating modern Vision AI into existing its workflows, Two-a-Day aims to achieve:
a. Faster feedback for on floor operators,
b. Reduced reliance on manual supervision,
c. Stronger protection against gradual quality drift, and
d. Deeper visibility into production trends and anomalies.
The result is a shift from periodic inspection to continuous, real-time quality assurance.
Leadership Perspectives
Commenting on the strategic importance and landmark relevance of the partnership, the Computer Vision and Software Engineer at Two-a-Day, Peiter Uys, emphasised that “We (Two-a-Day) have strong computer vision foundations, but staying ahead in global agriculture means continually improving and broadening what these systems can do.”
He further noted that Score brings powerful Vision AI models that help Two-a-Day strengthen its existing processes while opening the door to new applications across the production environment. This is an important step toward maintaining quality leadership at scale in the system.
Similarly, Maxime Sebti, the Chief Executive Officer of Score, highlighted the shared vision behind the collaboration noting that Two-a-Day already understands the value of Vision AI and they have been applying it for years. However, he explained that “this partnership is about building on that foundation, enhancing accuracy, expanding capability, and helping the team reach the next level of operational intelligence. This is where modern AI makes a real difference, in environments where consistency and quality truly matter.”
Looking Ahead
As agriculture becomes more data-driven and quality expectations continue to rise, Vision AI is emerging as a core operational capability rather than a supporting tool.
The partnership between Two-a-Day and Score reflects a broader shift toward intelligent, real-time production environments where insight flows continuously from the field to the packing line.
By combining deep agricultural expertise with modern Vision AI, the collaboration sets the stage for more resilient operations, higher-quality outcomes, and a future where every camera becomes a source of actionable intelligence.
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