Solution partner
Adastra powers 4 source-linked AI deployments documented in AIUseCaseHub, across 4 industries and 3 countries.
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3 of 4 cases classified (75%) · Compare all use-case types
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1 of 1 judgeable case is still publicly referenced.
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Adastra enhanced fraud detection for insurers by deploying a claims risk analysis system leveraging AI and Microsoft Azure ML models. By analyzing historical data, this solution automates fraud detection and document trends, modernizing operations and reducing costs.
Achèv, a not-for-profit organization supporting newcomers to Canada, built a custom chatbot to help users navigate employment and language services.The solution uses Amazon Bedrock with Adastra to modernize remote language assessment and personalize interactions for diverse users.
GoodLeaf Farms, a leading agricultural company in Canada, faced challenges in managing the vast data generated by IoT sensors and cameras used on their vertical farms. These sensors monitored various parameters such as lighting, air quality, and growing media, producing massive data volumes that needed to be processed to optimize crop yield and sustainability outcomes.No off-the-shelf solution fit GoodLeaf's needs, so they partnered with Adastra and received support from SCALE AI to develop a custom AI-driven analytics platform using Microsoft Azure technologies.The implemented system included Azure Synapse Analytics for real-time reporting and management, Microsoft Power Platform for financial data collection, Power Apps for data allocation and monetization, and plans to expand with Azure AI and Azure Machine Learning.The custom platform improved the farm's ability to make data-driven decisions, reduce waste, streamline financial management, and optimize shipping and order fulfillment.These digital capabilities have also enabled GoodLeaf Farms to pursue longer-term sustainability goals, such as reducing their carbon footprint and developing plant varieties with higher nutritional value.The result is a more efficient, scalable, and sustainable farming operation that leverages advanced Microsoft cloud and AI solutions with ongoing support from technology partner Adastra.
NETZSCH Group, a global manufacturing company in Germany, transformed its historically siloed business units by consolidating data and deploying scalable AI and analytics capabilities. Previously, each business unit maintained separate data and reporting systems that limited operational insights and could not accommodate large-scale AI or IoT workloads. Facing challenges with data silos, legacy infrastructure, and an increasing demand for digital, predictive services, NETZSCH Group initiated a cloud data migration and consolidation journey. Partnering with Adastra and Microsoft FastTrack, they implemented the Microsoft intelligent data platform, integrating Azure Synapse Analytics, Power BI, and Azure Databricks. The new centralized data lake enables rapid analysis of millions of data rows and supports company-wide data quality management. Predictive maintenance and new data-as-a-service models are now possible, opening additional growth opportunities. The company plans further AI adoption, including Copilot, to expand intelligent services and data-driven business models.Each business unit previously had independent data silos and reporting tools, causing inefficiencies.Legacy, on-premises infrastructure could not support large-scale AI, IoT analytics, or rapid reporting.Growing demand from customers for digital insights and predictive maintenance created internal pressure for innovation.Diverse and unstandardized business analytics complicated company-wide decision making.