About Us

About Us

Agnovix is an agri-technology startup exploring and developing digital approaches for livestock farming systems.

Agnovix is an agri-technology startup exploring and developing digital approaches for livestock farming systems.

We work with a distributed team of researchers, engineers, and collaborators.

We work with a distributed team of researchers, engineers, and collaborators.

Our Roots

Agnovix builds on research expertise and academic innovation, grounded in deep

Our approach

Agnovix operates through collaborative, interdisciplinary work that brings together expertise in animal science, engineering, and data analytics. We prioritize methods that are transparent, interpretable, and grounded in scientific evidence.

Our projects are shaped by real-world challenges in livestock farming, ensuring that digital tools and analytical methods remain relevant, usable, and ethically informed.

Sensors

Environment

Behavior

Research and collaboration

Agnovix engages in research activities and collaborative projects that examine the role of digital systems and artificial intelligence in livestock farming. These efforts include exploratory studies, prototype development, and applied research demonstrations.

We actively seek opportunities to collaborate with academic partners, research organizations, and industry stakeholders who share an interest in advancing animal welfare, sustainability, and responsible technological innovation.

Our perspective

We view digital livestock farming as a socio-technical challenge, where technology must align with biological realities, management practices, and ethical considerations. Our work reflects a commitment to evidence-based innovation that respects animal welfare, farmer decision-making, and system complexity.

Why restraint matters

In agriculture, over-engineered or poorly understood technologies often fail in practice. Agnovix intentionally prioritizes clarity, interpretability, and incremental deployment, recognizing that meaningful impact depends on trust, context, and long-term usability.

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