DoiT International powers 3 source-linked AI deployments documented in AIUseCaseHub, across 3 industries and 2 countries. Documented deployments include AI agents.
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Use Cases
3
Industries
3
Countries
2
Agent Cases
1
Hyperscaler mix
Filter DoiT International's implementations by cloud provider evidence.
How DoiT International builds AIBuild, Buy & Compose — what they mean
Promptly is a healthcare software-as-a-service company that helps specialty medical practices streamline patient engagement and automate clinical workflows.The company consolidated tens of thousands of documents from about 50 shared drives into an environment for generative AI applications and agents.Promptly integrated Amazon Bedrock into its web application to provide a conversational chat experience for patients.The chat helps patients with appointment scheduling, billing questions, and insurance questions without requiring a staff member.Promptly also uses Amazon Q Developer across its engineering sprints for code review and software development assistance.An internal assistant called the Oracle of Promptly was built for staff using AWS agent capabilities.
Taranis is a precision agriculture intelligence platform that helps farmers monitor their fields and reduce crop yield loss.The company uses Google Cloud to enable high-volume drone image uploads and train TensorFlow machine learning models for detecting disease, pest, and abiotic stress from agricultural imagery.Using Google Cloud, Taranis supports large-scale image processing and serves insights through dashboards so farmers can intervene earlier and target solutions.
Trigo has developed a checkout-free grocery shopping system that digitizes store operations to enable seamless, automated shopping experiences in traditional grocery stores.The solution uses AI computing and 3D modeling from hundreds of cameras to generate real-time, highly accurate 3D models of the store environment and shopper behavior, enabling shoppers to pick items and walk out without checkout.Google Cloud infrastructure components including BigQuery for large-scale data storage and analysis, and Google Kubernetes Engine (GKE) for managing autoscaling microservices provide the scalable, low-latency backend support.The implementation allows Trigo to rapidly transition stores from test to live environments while improving accuracy and operational efficiency.Trigo partners with DoiT International for implementation support and benefit from Google Cloud's global server presence for reduced data latency and reliable, scalable service to stores worldwide.