Food safety monitoring

BeeOdiversity, based in Belgium, specializes in environmental monitoring and sustainability solutions through innovative use of nature and technology.Facing the challenge of scaling ecosystem and biodiversity health monitoring, the organization collects massive amounts of environmental data through a distributed network of over 12 million bees.BeeOdiversity leveraged AI and machine learning—built on Microsoft technologies including Azure—to automatically analyze environmental samples gathered by bees, providing actionable, real-time insights not feasible via manual sampling.The AI-infused solution supports policymakers, agribusinesses, and environmental stakeholders in tracking ecosystem health, pesticide impact, pollution, and biodiversity trends at territory or country scale.This system facilitates regular, scalable reporting on biodiversity and environmental quality, helping to drive sustainability objectives and environmental compliance.BeeOdiversity’s approach exemplifies how digital transformation and AI can support transparent, data-driven environmental stewardship for a more sustainable future.

BeeOdiversityAgriculture

BeeOdiversity, a Belgian startup, has pioneered a novel approach to environmental and food safety monitoring by leveraging bee-collected pollen and Microsoft Azure-based AI analysis. The company’s BeeOimpact platform gathers pollen via bee colonies distributed on farms and in industrial, agricultural, and water utility locations. The collected samples, analyzed in labs and using Azure Data Factory with machine learning, allow precise identification of over 500 types of pesticides, heavy metals, and plant species. Useful for monitoring compliance, identifying pollution sources, and protecting biodiversity, the solution delivers actionable insights for organizations such as farms, food and beverage companies (Nestlé), and utilities operating in more than 20 countries. BeeOdiversity enjoys support from Microsoft and Accenture, benefiting from Azure cloud AI infrastructure and recognition through Microsoft’s AI accelerator. Clear customer impacts include pollution tracing, reduced pesticide use, improved biodiversity, and cost-effective large-scale adoption.

BeeOdiversityAgriculture

Rebel Foods, a global cloud kitchen leader, faced significant trust deficits about food hygiene during the COVID-19 pandemic. The company implemented Staqu's Jarvis AI system, running on Microsoft Azure and Azure Kubernetes Services, to monitor adherence to strict hygiene protocols in real time across hundreds of kitchens. Using AI-driven video analysis, the solution checks for staff compliance with health guidelines—such as mask and glove usage, hand washing, and the three-sink cleaning process—and sends immediate alerts of any violations. This leverages existing CCTV infrastructure, enabling rapid and scalable deployment. With 350 kitchens across several countries and plans to expand use cases—from waste management detection to livestreaming kitchen activity for customers—Rebel Foods is establishing transparency for food safety, driven by responsible AI on the Azure cloud.

Rebel FoodsConsumer & Food

The Washington State Department of Natural Resources (DNR) meticulously monitors and protects aquatic habitats across millions of acres, including vast underwater vegetation such as eelgrass.Historically, analyzing underwater video footage for eelgrass required hundreds of hours of manual effort per year from trained specialists.Facing a need to enhance efficiency and scalability, the Aquatic Resources Division leveraged Microsoft Azure technologies to automate the video analysis process.Scientists worked with Microsoft support to develop an AI-powered system using Azure Cognitive Services and Azure Machine Learning to identify seagrass in underwater video frames.Video data is stored in Azure Data Lake Storage, and Power BI is being adopted for streamlined reporting and visualization.The initial pilot program reduced manual analysis time from months to weeks, freeing researchers to focus on strategic projects and advancing research for climate and resource management.The AI solution is currently being validated but is expected to transform long-term habitat monitoring, improve data replicability, and assist broader environmental research initiatives.Microsoft's involvement included both licensing and consultative support for rapid deployment, even among a non-technical ecology team.The DNR intends to continue scaling these solutions, leveraging Azure tools as one of the first state agencies to do so for environmental resource management.The approach exemplifies innovation within the public sector, bridging data science and ecological research to improve productivity in natural resource stewardship.

Washington State Department of Natural ResourcesPublic Sector

Regrow Ag, formed from the merger of precision agriculture and soil science companies, develops data-driven regenerative agriculture solutions to accelerate greenhouse gas emissions reduction and build climate resilience globally.They scaled their platform using Google Cloud, Google Earth Engine, Vertex AI, and BigQuery to enable monitoring of 1.2 billion acres worldwide and reduced data product development time from 6 months to under 1 month.The solution uses satellite imagery and geospatial data via Google Earth Engine, ML model training and deployment with Vertex AI, data warehousing and analytics through BigQuery, and serves data through APIs.Customers include General Mills, Kellogg Company, and Cargill, leveraging the platform to monitor agricultural practices, reduce emissions, and promote regenerative agriculture.Google Cloud platform allows Regrow Ag to operate efficiently with one DevOps engineer supporting 60 team members, providing scalability and faster innovative product delivery.

Regrow AgAgriculture