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Aware Group

Aware Group powers 2 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 1 country.

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Use Cases

2

Industries

1

Countries

1

Hyperscaler mix

Filter Aware Group's implementations by cloud provider evidence.

How Aware Group builds AI

Build / Buy / Compose across this partner's documented cases

BuildBuyComposeMixed

1 of 2 cases classified (50%) · Compare all use-case types

Reported outcomes

1 case reports measurable results

−90%

Cost savings

median · 1 metric

Medians of results published in Aware Group cases, normalized for comparability. See all benchmarks →

All Use Cases (2)

Microsoft

Techion automates livestock parasite detection and improves farm productivity

Techion, a New Zealand-based agriculture technology firm, partnered with AI specialist Aware Group to address the pervasive challenge of parasite infections that affect livestock health and farm productivity. Traditionally, manual parasite detection was labor-intensive, slow, and expensive, leading to widespread preventative drenching of animals. This practice contributed to rising costs, inefficiency, and drench resistance, costing New Zealand farmers tens of millions of dollars annually.Techion developed the FECPAKG2 platform, which integrates portable digital microscopes (Micro-I) with cloud solutions and AI. The new system leverages Azure Machine Learning to analyze images of faecal egg count samples and provide rapid, automated, scalable diagnostics for parasites across various livestock.The platform's AI features, running on Microsoft Azure, allow farmers and veterinarians to receive accurate FEC results within seconds, enabling targeted and timely animal treatment instead of blanket medication. This not only boosts productivity and animal welfare but also mitigates the risk of overmedication and environmental harm.By scaling their diagnostic services globally and automating much of the manual analysis, Techion dramatically reduced the need for skilled human technicians and improved service delivery speed. The solution is now deployed for cattle, equine, pigs, and birds across regions including Australia, the UK, and more.Their approach exemplifies how cloud AI and local partnerships can create transferable digital diagnostics, with applications reaching beyond agriculture to broader animal, environmental, and human health issues. Future plans include building a global database of diagnostic images and forging additional partnerships to tackle complex health problems.

AgricultureNew Zealand
Microsoft

Stewart Dairylands advances sustainable farming with IoT and AI-driven monitoring

Stewart Dairylands, a major farming enterprise in New Zealand, faced the challenge of increasing productivity and sustainability despite sparse connectivity and budget constraints. To overcome these, Stewart Dairylands partnered with Microsoft and Aware Group to deploy Microsoft Azure FarmBeats, an end-to-end AI and IoT agriculture platform. FarmBeats collected sensor and drone-based data to monitor soil moisture, temperature, and crop health, even across large, hard-to-connect tracts of land using a TV White Space network.By combining sparse sensor deployment with regular drone flights, the solution produced precision heatmaps and insights for managing crops and livestock more proactively. All data is aggregated securely in the cloud for advanced analysis using machine learning, allowing farmers to optimize irrigation, fertilization, and operational decisions. The project reduced hardware costs by 90 percent and demonstrated the viability of data-driven precision agriculture at scale.Future plans include expanding the platform with edge machine learning and farm robotics for further automation and environmental benefits.

AgricultureNew Zealand