Zoetis: Can Generative AI Turn Veterinary Drug Discovery Into a Faster, More Predictable Engine?

Overview: How Zoetis’ AI-Driven End-to-End Veterinary Drug Discovery Platform Transforms Animal Health R&D Zoetis is an internal, end-to-end AI and data-science capability for veterinary drug discovery and development, using machine learning, knowledge-graph analysis, predictive modelling, and automation to support target identification, therapeutic design, clinical research, and diagnostic development. It addresses the difficulty of integrating large, […]

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Overview: How Zoetis’ AI-Driven End-to-End Veterinary Drug Discovery Platform Transforms Animal Health R&D

Zoetis is an internal, end-to-end AI and data-science capability for veterinary drug discovery and development, using machine learning, knowledge-graph analysis, predictive modelling, and automation to support target identification, therapeutic design, clinical research, and diagnostic development. It addresses the difficulty of integrating large, fragmented datasets across species, disease areas, laboratory research, and clinical studies, which can slow the selection and validation of veterinary therapeutic and vaccine candidates.

Its R&D organisation combines data from more than 20,000 clinical studies with molecular and cellular research data, pet-genetics information, published literature, and external health databases. Zoetis describes using its Biograph AI tool to integrate biodata into knowledge graphs, identify gene connections, and generate virtual efficacy scores to investigate biomarkers and targets; its Automation & Data Sciences group also develops tools to automate R&D processes and improve data management.

For animal-health research workflows, this approach can help scientists prioritise hypotheses and candidate interventions before more resource-intensive laboratory or clinical work, while supporting earlier diagnostic and targeted-treatment research. Zoetis has also described an AI-enabled clinical-data-management system intended to improve data quality, reduce manual validation effort, and support data review; realised gains in speed, decision quality, or candidate success remain dependent on the disease context, data quality, biological evidence, and downstream experimental validation.

Last checked on September 30, 2026: Zoetis remains active in AI-enabled veterinary R&D and diagnostics, with its latest major announced capability expansion being the proposed acquisition of VitalRADS to add AI-assisted teleradiology reporting and quality-assurance workflows.

What is Zoetis?

Zoetis is an animal-health company that applies internal AI, knowledge-graph analysis, predictive modelling, automation, and clinical-data infrastructure across veterinary drug discovery, clinical research, and diagnostic development. Its R&D teams use the Biograph knowledge-graph tool to investigate biomarkers and therapeutic targets, alongside data from more than 20,000 clinical studies, molecular and cellular research, pet-genetics data, published literature, and external scientific databases. Zoetis serves veterinarians, animal-health researchers, livestock producers, and pet owners; its distinguishing approach is an internal science-to-scale model that connects veterinary expertise, multimodal data, AI-assisted analysis, diagnostics, and therapeutic development rather than a separately marketed external drug-discovery software platform.

Intended Use and Limitations

  • Zoetis is a publicly traded animal-health company that develops medicines, vaccines, diagnostics, biopharmaceuticals, and digital services for veterinary markets.

  • Zoetis’ Vetscan Imagyst diagnostic platform uses AI-enabled image analysis across seven in-clinic applications, including faecal, urine-sediment, dermatology, blood-smear, equine faecal-egg-count, mass, and digital-cytology workflows.

  • Zoetis states that Vetscan Imagyst algorithms are trained by board-certified veterinary specialists and undergo validation studies before commercial availability; individual application evidence should be reviewed separately.

  • In 2025, Zoetis launched AI Masses for Vetscan Imagyst, a deep-learning cytology capability for screening common skin, subcutaneous, lymph-node, and lesion samples in veterinary practices.

  • Zoetis announced an agreement in July 2026 to acquire VitalRADS, following a 2025 partnership; the proposed transaction would add cloud-based veterinary teleradiology, specialist interpretation, and AI-enabled workflow tools to its diagnostics portfolio, subject to closing conditions.

  • Zoetis announced an agreement in 2026 to acquire Neogen’s animal-genomics business for $160 million, intended to expand its genetics, data, and precision-animal-health capabilities; the announcement described the transaction as subject to customary closing conditions.

  • Zoetis has a global privacy programme and states that it acts as a data controller under GDPR and UK GDPR for applicable personal-data processing.

  • Zoetis publicly describes internal AI-enabled research capabilities, including the Biograph knowledge-graph tool, clinical-data-management automation, and data-science workflows; these are internal capabilities rather than a separately certified external drug-discovery platform.

  • Zoetis does not present its internal end-to-end AI drug-discovery capability as a separately purchasable platform; public information instead describes its use within the company’s veterinary R&D organisation.

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Stephen

Founder of HealthyData.Science · 20+ years in life sciences compliance & software validation · MSc in Data Science & Artificial Intelligence.