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Jayagopal Venugopal

Director

UTAP LTD

Louth, United Kingdom

Agri-tech innovator using AI, sensors & computer vision for livestock health, weight & welfare. Seeking partners to scale sustainable solutions.

My organisation

UTAP LTD

UTAP LTD

Louth, United Kingdom

UTAP Ltd is a cutting-edge agri-tech company specialising in AI-powered livestock monitoring and management solutions. We harness computer vision, edge AI, RFID technology, and blockchain to provide non-invasive, accurate cattle weight estimation, health monitoring, and behaviour analysis. Our system uses advanced depth and thermal imaging to deliver real-time insights that improve animal welfare and farm productivity. Currently, we are running successful pilot projects with two of the largest cattle farms in the UK, validating our technology under real-world conditions. We are also developing drone-based livestock monitoring solutions to enable remote herd surveillance and welfare assessments over large grazing areas. Our cattle management software incorporates blockchain to create a secure, transparent, and immutable record of animal data, enhancing traceability throughout the supply chain. Complementing this, our carbon calculator includes anaerobic digester data and integrates via APIs with the Sustainable Business Initiative (SBI), tractor information systems, and the British Cattle Movement Service (BCMS) database. This helps farmers track and reduce their carbon footprint, aligning with net-zero farming goals and regulatory compliance. With deep expertise in AI model optimisation, embedded TinyML, digital twins, and real-time edge data processing, UTAP Ltd aims to revolutionise livestock farming with scalable, regulation-ready technology that empowers farmers, vets, and supply chain stakeholders. We actively seek innovation partners and collaborators to co-develop the next generation of precision livestock management solutions for a sustainable agricultural future.
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About me

Jayagopal Venugopal is the founder of UTAP Ltd, an agri-tech innovator focused on applying AI, computer vision, edge computing, blockchain, and drone technology to livestock farming. With a background in electrical and electronics engineering, and over 8 years of experience in fintech and regulatory technology, he brings a strong foundation in building secure, compliant, data-driven platforms. Jayagopal specialises in embedded AI (TinyML), RFID-based animal tracking, and digital twins, leading the development of non-invasive systems that improve animal welfare, enable traceability, and support sustainable, regulation-ready agriculture.

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Interests

  • Drones, Edge AI, Livestock Tech, HPC, CV Models

Marketplace (4)