Applied Livestock

One Consortium.
Every Livestock Challenge.

We solve livestock challenges that sit beyond the reach of any single discipline. Applied Livestock is a consortium of specialists in animal health, data science and infrastructure — delivering integrated solutions across complex livestock systems.

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What We Do

Integrated solutions across three domains

We are engaged where challenges are high-value, time-critical, or system-wide — and where delivery of operational solutions in real-world environments is crucial.

Livestock Health & Disease Intelligence

Surveillance systems, epidemiological modelling and early warning frameworks — built for the speed and scale that real-world disease challenges demand.

  • Disease surveillance systems
  • Epidemiological modelling
  • One Health programme design
  • Early warning frameworks

Productivity & System Optimisation

Data-driven performance improvement across commercial operations and national programmes, connecting insight to operational change.

  • Data-driven performance improvement
  • Precision livestock monitoring
  • Behavioural analytics
  • Operational insight for producers

Traceability & Data Infrastructure

End-to-end traceability, secure data architecture and digital systems designed to function reliably under real operational conditions.

  • End-to-end traceability architecture
  • Data governance frameworks
  • Secure data architecture
  • Bespoke field-ready hardware
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How We Work

Multidisciplinary in composition. Unified in delivery.

We convene and lead teams drawn from across animal health and epidemiology, AI and data science, infrastructure engineering, and secure data systems.

Our engagement runs from initial strategy through to implementation and operational delivery.

We work closely with clients to co-create approaches tailored to their specific operational and strategic context from the outset.

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How Engagements Start

From complexity to first deployment.

While the challenges we address are system-wide, engagements typically begin with focused pilot deployments designed to demonstrate value and establish a scalable model for implementation.

Our Pilot Process

From scoping through scale-up. Defined phases. Pre-agreed criteria.

Our pilots follow a defined methodology. Each phase has clear deliverables, decision gates and success criteria, agreed before deployment, not retrofitted afterwards. The rigour is what makes pilot outcomes credible to commercial operators and government programmes alike.

01
Scoping & Design
Typically 4–8 weeks

Deep engagement with operational, biological and data context. Definition of pilot scope, success criteria and decision gates, before any deployment work begins.

Deliverable

Scoping report, pilot specification, agreed success criteria

02
Build & Deployment
Typically 3–6 months

Integrated build of the pilot, including surveillance, data infrastructure, hardware and modelling, deployed in a defined operational environment with field support.

Deliverable

Operational pilot, data pipeline, baseline metrics

03
Operation & Evaluation
Typically 6–12 months

Operational running under real-world conditions. Continuous data capture, model refinement and evaluation against pre-agreed success criteria.

Deliverable

Performance evaluation, outcomes against criteria, recommendations

04
Scale-Up or Redirect
Pathway design

Where pilots succeed, design of the scale-up pathway, including expansion architecture, governance and programme transition. Where outcomes indicate redirection, an honest redesign.

Deliverable

Scale-up strategy, programme architecture, or documented redirection

What we hold ourselves to throughout
Pre-agreed success criteria

Defined before deployment, not retrofitted to whatever the pilot produced.

Field-tested deployment

Pilots run in real operational environments, not controlled conditions.

Documented outcomes

Evidence is captured and shareable regardless of whether the pilot succeeds.

Honest redirection

When data says the approach should change, we say so, and redesign.

Where We Work

From Oxford to global livestock systems.

Based in Oxford, Applied Livestock works across advanced commercial livestock systems, international, national and regional programmes, and rapidly evolving livestock sectors in low- and middle-income countries.

Our solutions are designed with operational realities in mind — variable infrastructure, diverse production environments, and the practical constraints that determine whether an intervention succeeds or fails.

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About

About Applied Livestock

Applied Livestock is an integrated consortium built on decades of international experience across animal health, data science and infrastructure — working together to address complex livestock challenges that no single discipline can resolve alone.

Our model reflects a straightforward observation: the most significant problems in livestock do not sit neatly within a single domain. They emerge at the intersection of biology, data and operational systems — and require coordinated expertise to solve effectively.

We bring that integration into practice — combining scientific depth, analytical capability and real-world implementation to deliver outcomes, not just insight.

Based in Oxford, United Kingdom. Working globally.

Solutions

Designed for integrated livestock systems challenges. Delivered in practice.

Livestock Health & Disease Intelligence

Effective disease management depends on intelligence that is timely, accurate and connected to decisions. We design and deliver:

  • Disease surveillance systems for national and regional scale
  • Epidemiological modelling for outbreak response and risk management
  • One Health programme design integrating human, animal and environmental data
  • Early warning systems and risk analysis frameworks
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Productivity & System Optimisation

Improving productivity in livestock systems requires more than data — it requires understanding what drives performance and how to change it. We deliver:

  • Data-driven performance improvement across commercial and programme contexts
  • Precision livestock monitoring and behavioural analytics
  • Operational insight for producers, integrators and policymakers
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Traceability & Data Infrastructure

Traceability and data systems only deliver value if they work in the field. We design and build:

  • End-to-end traceability architecture for livestock and supply chains
  • Data governance frameworks for national and commercial programmes
  • Integration of digital systems with field realities
  • Secure data architecture for sensitive health and production data
  • Bespoke hardware developed around each project's specific operational requirements
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Challenges

The challenges we are built to solve.

Applied Livestock is built on decades of combined international experience. The challenges below illustrate the types of large-scale livestock systems problems we address — drawn from the collective experience of our partners across national programmes, global health initiatives and regulated data environments.

When disease surveillance systems fail in practice

The problem is rarely the absence of data. It is the absence of integration — between epidemiological insight, field reporting infrastructure and operational decision-making. Surveillance systems that function in laboratories and fail in the field are a consistent pattern across national livestock programmes. The gap is almost always the same: scientific rigour on one side, implementation capability on the other, and nothing connecting them. This is the gap Applied Livestock is built to close.

When productivity data exists but nothing changes

Large-scale livestock operations frequently have data. What they lack is the integration of biological, environmental and operational streams into insight that connects directly to management decisions. The pattern is familiar: performance varies across sites, the drivers are unclear, and existing analytics produce reports rather than change. Applied Livestock addresses both — combining data science with production systems expertise and hands-on implementation support.

When traceability systems don't survive deployment

Traceability architecture that works in design and fails in the field is one of the most common and costly failures in complex livestock environments. Effective traceability requires the integration of digital platforms, secure data architecture, field-ready hardware and governance frameworks — designed together, not assembled after the fact.

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Our Founding Partners

Six founding partners. One integrated capability.

Applied Livestock works because of the expertise its founding partners bring. Each organisation contributes specialist depth that would take years to build independently — and a defined role within the consortium's integrated delivery model.

Mujika

Mujika

Led by Professor Alasdair Cook · UK Trade & Agriculture Commission · Food Standards Agency
Scientific leadership · Epidemiology · One Health
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Professor Alasdair ("Alex") Cook

Veterinarian & Epidemiologist · Adviser, UK Trade and Agriculture Commission & Food Standards Agency

Three decades spanning farm animal practice, international development programmes across the Middle East, Africa and Central America, senior government surveillance roles, and active national policy advisory positions — simultaneously.

Professor Cook's advisory roles with the UK Trade and Agriculture Commission and the Food Standards Agency's Advisory Committee on the Microbiological Safety of Food mean Applied Livestock's scientific work is directly connected to the national policy conversations that shape how animal health systems are designed, funded and evaluated.

Mujika's expertise spans One Health, epidemiology, digital technologies and data-driven analysis — combining scientific rigour with real-world understanding of how animal health systems function across vastly different economic, cultural and regulatory environments.

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Arpexas

Arpexas

Led by Professor Andy Peters · Chair, ILRI Board of Trustees · 50 years in international livestock medicine
Veterinary medicine · Vaccine development · LMIC programmes
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Professor Andy Peters

DVetMed, PhD, DSc · Chair, International Livestock Research Institute · Visiting Professor, University of Edinburgh

Someone who "sees what is possible" — whose vision to improve livestock health and productivity through better data "is proving to be successful."

— Director of Livestock, Bill & Melinda Gates Foundation

Founding Director of SEBI-Livestock, a Gates Foundation-funded programme at the University of Edinburgh. Formerly Head of European Vaccine R&D at Pfizer Animal Health (now Zoetis) and Chief Scientific Adviser and interim CEO of GALVmed — the Global Alliance for Livestock Veterinary Medicines.

Over 180 scientific papers and two books. Direct relationships with the funders, institutions and programmes that define the global livestock development landscape.

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Perseptum

Perseptum

Led by Professor Kevin Wells · Professor of AI for Healthcare, University of Surrey · 3,000+ citations
Artificial intelligence · Predictive analytics · One Health data
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Professor Kevin Wells

Professor of AI for Healthcare · Director, Surrey DataHub, University of Surrey

Analytical capability that goes well beyond standard data science — combining deep veterinary domain knowledge, cutting-edge AI methodology and active research partnerships with the global animal health industry.

Professor Wells leads a research programme applying AI, large language models, machine learning and advanced image analysis to animal and human healthcare challenges — spanning veterinary records, wearables and large-scale social media analysis. Research cited over 3,000 times.

Perseptum and Mujika collaborate directly through the vHive Incubator at the University of Surrey — a joint initiative with Zoetis, the largest global animal health company — where practical AI applications in animal health are actively developed and deployed.

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Polar Networks

Polar Networks

Led by John Henderson · Government-grade security clearance · 20 years in critical national infrastructure
Infrastructure security · Rural connectivity · Cyber security
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John Henderson

Network Engineer & Infrastructure Architect · Government Security Cleared

Government-grade security capability applied to the realities of distributed agricultural systems. For clients at national programme level or handling sensitive data, this is not a standard infrastructure offer.

Twenty years designing and securing critical network infrastructure for government agencies and regulated industries. The Polar Networks team — network engineers, infrastructure architects and cyber security specialists, all security cleared to government standard — bring that same culture of rigour to livestock data systems, traceability platforms and national surveillance infrastructure.

Delivering cloud platforms, secure networks, rural connectivity and cyber security frameworks built to perform where others cannot.

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The BioChain

The BioChain

Led by Ashley Morgan · GxP & ALCOA++ aligned data infrastructure
Data infrastructure · Traceability · Regulatory-grade systems
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Ashley Morgan

Data Infrastructure Specialist · Founder, The BioChain

For clients operating in regulated, high-stakes or institutionally complex environments, trusted data infrastructure is not an enhancement. It is a requirement.

The BioChain designs and delivers trusted data infrastructure for livestock systems — ensuring data generated in the field is secure, verifiable and usable at every level. Its systems are aligned with GxP and ALCOA++ principles, meaning data can withstand scrutiny from governments, funders and regulators.

A working model of this infrastructure is already in place and available to support pilot deployments. Within Applied Livestock, The BioChain provides the data backbone that enables the entire consortium's work to operate with confidence in data integrity.

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Cultivated Intelligence

Physical hardware for IoT smart agriculture
IoT smart agriculture · Field intelligence · Hardware engineering
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Cultivated Intelligence

Physical hardware for IoT smart agriculture · In-field devices for crop and livestock operations

Hardware built for the realities of working farms — designed and tested in the outdoor, mixed-condition environments where industrial equipment typically fails.

Cultivated Intelligence designs and builds physical hardware for IoT smart agriculture. Its work focuses on sensing, decision-making and action on real working farms — in the kinds of outdoor, mixed-condition environments where industrial equipment typically fails.

Within Applied Livestock, Cultivated Intelligence brings the physical hardware capability — the in-field IoT devices that connect scientific insight and data infrastructure to action on real working farms.

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Join Us

Partner with Applied Livestock

We work with organisations that bring genuine specialist expertise and a shared commitment to solving integrated livestock systems challenges. This includes research institutions, technology providers, animal health organisations, and infrastructure and data specialists.

Our model is collaborative and rigorous. We are interested in partnerships built on complementary depth, not overlap.

What we look for in partners

Get In Touch

For complex challenges that need a multi-disciplinary approach

If you are working on a complex challenge in livestock health, productivity or system resilience, our team of experts are ready to support.

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Contact

Start a conversation

We work with organisations and commercial producers addressing complex challenges in livestock health, productivity and system resilience.

If you are exploring a project, pilot deployment or partnership, we would welcome a conversation.

General Enquiries

hello@appliedlivestock.com

Partnership Enquiries

partner@appliedlivestock.com

Based in Oxford · Working globally

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