Ludex
End-to-end MLOPs Service With AI Automation
Summary
Ludex is a sports and trading card scanning app that helps card collectors identify and track the value of their collections. Folio3 worked with Ludex to develop their AI infrastructure and support them scale their business with end-to-end MLOPs services.
About the Customer
Ludex is a sports and trading card scanning app that provides collectors with an accurate and easy way to identify and track the value of their collections. Ludex makes collection and tracking of card collections easy for seasoned collectors and novices alike.
-
Team composition
5-6 members
-
Client name
Ludex
-
Expertise used
Machine Learning, AI Automation, Batch Processing
-
Duration
5 months
-
Services provided
Team Augmentation, MLOPs, AWS Deployment.
-
Country
US
-
Industry
Software
Solution
With Folio3's solution and team augmentation services, Ludex was able to able to automate its existing system without the need for manual intervention. The training and evaluating pipelines created by the Folio3 AI-augmented team, leveraged ML models to identify and analyze card attributes such as player name, team, and year. This helped Ludex provide accurate and up-to-date valuations for collectors' card collections.
Inference infrastructure and training pipelines
Using ML Algorithms, Folio3 ML developers created the model to process batch transformation directly without any external preprocessing using Amazon SageMaker
Process Automation
Created a training pipeline using Amazon SageMaker that would automate the process of adding new cards to the database.
End-to-End MLOPs Service
Folio3’s team of machine learning developers made sure the application was developed, tested, and deployed successfully, fulfilling all the requirements by Ludex.
Deployed on Amazon Web Services (AWS)
The solution was deployed on AWS for scalability and ease of use, eliminating the need for error-prone manual operations.
Result
With Folio3’s staff augmentation and MLOPs team services, Ludex not only automated its card system saving 5+ hours of manual work but also, scaled its business and provided a better user experience for its customers.
