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Nasekomo - Pioneering AI for Sustainable Insect-Based Agriculture

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Industry

Technology

Challenge

Nasekomo needed a cohesive AI strategy to unify data and processes across these complex biological and operational systems.

Results

Developing a long-term AI strategy and deploying the computer vision models marked a transformative milestone for Nasekomo.

Key Product

Google Cloud

At Nasekomo, our four pillars—biology, technology, digitalization, and partnership—form a robust framework for transforming the future of protein by leveraging data and digital tools. With our strategic partners, we set new standards for the growing insect industry. Our collaboration with Cloud Office exemplifies this approach. Their expertise has been crucial in designing our cohesive digital strategy,ensuring optimization, precision, and scalability.

Marc Bolard

CEO, Nasekomo

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About Nasekomo

Nasekomo is at the forefront of sustainable agriculture, providing protein-rich insect solutions for the feed industry. Committed to environmental impact and resource efficiency, Nasekomo combines technology and biology to drive scalable, high-quality production.

The Challenge

As Nasekomo scales in the insect farming industry, maintaining high standards for quality and production efficiency is paramount. With factors like larval growth, feed variation, and environmental control critical to production outcomes, manual and semi-automated methods were not sustainable. They needed a cohesive AI strategy to unify data and processes across all systems.

The Solution

We designed an AI framework to forecast biological responses and optimize environmental factors, ensuring ideal growth conditions. Initial implementations include computer vision models for counting and sizing of larvae, providing immediate production insights. 

Cloud Office’s AI division crafted a long-term AI strategy. Combining cloud infrastructure, machine learning, and IoT, the collaboration is positioning Nasekomo to lead with end-to-end digitalization and biological optimization within insect farming. 

The Results

The long-term AI strategy and computer vision models marked a milestone for Nasekomo. The counting and sizing models provide valuable production data, while the strategic framework brings long-term benefits. As further components are implemented, Nasekomo’s adaptive system will enable data-driven adjustments, reducing waste and enhancing productivity. 

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