HomeCorporateBolt On: dsm-firmenich Acquires Verax from InsideTracker for AI-Driven Livestock Analytics

Bolt On: dsm-firmenich Acquires Verax from InsideTracker for AI-Driven Livestock Analytics

AI and data driven analytics are a flavour of the season and what better way to augment position in Livestock analytics, than by an acquisition – cant build it quick, buy it.

dsm-firmenich Animal Nutrition & Health (ANH) has acquired full ownership of Veraxâ„¢, a predictive farm analytics platform developed in partnership with InsideTracker, marking a significant step in the company’s strategy to expand artificial intelligence and precision livestock management capabilities. The acquisition concludes a seven-year collaboration between the two companies and enables dsm-firmenich to integrate Verax directly into its growing portfolio of digital livestock solutions.

The transaction brings the machine learning-based analytics platform entirely under dsm-firmenich’s control, allowing the company to accelerate product development, integrate predictive analytics across its nutrition and health offerings, and strengthen data-driven decision-making for livestock producers. Three members of the InsideTracker team have also joined dsm-firmenich as part of the acquisition to support ongoing development of the platform.

Predicting Problems Before They Become Obvious

Verax is designed to help livestock producers identify emerging health, nutrition and management issues before they become clinically apparent. Using machine learning algorithms, the platform analyses blood-based biomarkers together with production records and farm management data to detect subtle physiological changes that may signal declining animal performance.

Rather than responding to disease after production losses occur, the platform aims to provide producers with early warnings that allow timely nutritional or management interventions.

The technology supports a preventive approach to herd and flock management by translating biological and production data into practical recommendations for farmers and veterinarians.

Building a Precision Nutrition Ecosystem

The acquisition aligns with dsm-firmenich’s broader investment in precision livestock farming, an area that combines nutrition, health monitoring and digital technologies to improve animal productivity, welfare and sustainability.

The company launched Verax globally for commercial layer operations in late 2025, positioning it as a machine learning-based precision service capable of improving flock health, productivity and welfare. The latest acquisition now enables dsm-firmenich to further integrate Verax into its broader Precision Services ecosystem.

According to the company, bringing the platform fully in-house will facilitate closer integration with its nutritional expertise, on-farm advisory services and digital technologies, creating a more comprehensive decision-support system for livestock producers.

Expanding Beyond Poultry

Although Verax was initially introduced for commercial layer operations, dsm-firmenich has previously indicated plans to extend the platform to additional poultry sectors, including breeder operations, and potentially to other monogastric livestock species.

Industry observers believe the platform could eventually support precision management across poultry, swine and dairy production, where continuous monitoring of animal health and nutritional status is becoming increasingly important.

Data Becomes a Strategic Asset

The acquisition reflects a broader transformation occurring across the global animal health industry, where digital technologies are becoming as strategically important as feed additives, vaccines and pharmaceuticals.

Livestock producers are increasingly adopting technologies capable of collecting and analysing large volumes of biological and production data to improve feed efficiency, reduce disease incidence and enhance overall farm profitability.

Artificial intelligence platforms such as Verax are expected to play a growing role in this transition by helping producers move from reactive management toward predictive decision-making.

Supporting Sustainable Livestock Production

Beyond productivity, predictive analytics are also viewed as important tools for improving sustainability.

Earlier identification of health and nutritional problems can reduce unnecessary treatments, optimise feed utilisation and improve animal welfare, contributing to more efficient production systems with lower environmental impact.

The integration of Verax complements dsm-firmenich’s broader sustainability initiatives, including its investments in environmental footprinting, precision nutrition and digital farm management technologies.

Industry Perspective

The acquisition underscores the increasing convergence of animal nutrition, data science and artificial intelligence within modern livestock production. As producers seek to improve efficiency while addressing rising input costs and sustainability expectations, predictive analytics are becoming an increasingly valuable component of precision farming.

By bringing Verax entirely under its ownership, dsm-firmenich has strengthened its position in the rapidly evolving digital livestock management market, where early disease detection, predictive health monitoring and data-driven nutrition are expected to become central elements of future animal production systems.

Animal Health India Editorial Team
Animal Health India Editorial Teamhttps://animalhealthindia.com
Animal Health India (AHI) is an independent news and intelligence platform covering the global animal health, veterinary, livestock, poultry, companion animal and pet food sectors. Our editorial team comprises veterinary journalists, animal health professionals, regulatory affairs specialists and industry analysts with over 30 years of combined experience covering India, Asia, Europe and North America. AHI publishes news, regulatory updates, market intelligence and company news drawn from primary sources including DAHD, EMA, USDA, AVMA and leading veterinary publications worldwide.
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