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AI/ML-powered predictive maintenancefor tens of thousands of EVs

AgileEngine creates custom AI and data solutions for an AI startup launched in collaboration with a top-5 luxury car brand featured on the Fortune Global 500 list. The main focus of this collaboration is an ML-as-a-service platform streamlining electric vehicles manufacturing and maintenance. Our team helped ensure that the core AI/ML systems underlying the platform can reliably predict vehicle failures with unparalleled accuracy.

Bringing AI to EV manufacturing

The key solution delivered by our AI and data teams is a machine learning library that powers analytics and automation workflows for tens of thousands of electric cars. Based on a vast and textured dataset covering millions of vehicle scenarios, this solution enables our client to improve quality control and optimize repairs.

Key deliverables

  • Machine learning library capturing and analyzing vehicle data
  • Pipelines for the extraction, loading, and transformation of millions of vehicle telemetry records
  • Information management and visualization application
  • Design and deployment of the infrastructure required by Machine Learning models
  • Data visualization enabling the deep analysis of individual vehicles and automotive fleets
  • Alert system enabling the prediction of vehicle failures
  • Built-in analysis tool reducing the manufacturers’ QA time by up to 90%
  • End-to-end software testing
  • UX/UI design improvements

Technologies

  • Python, AWS, AWS Sagemaker, AWS Glue, MWAA, Redshift, PostgreSQL, Node.js, GraphQL, Serverless Framework, Prisma ORM, DBT, Terraform, TypeScript, React.js, Vite

Project highlights and outcomes

  • AgileEngine has outperformed the client’s previous remote development vendor, demonstrating higher levels of AI/ML, engineering, and industry expertise.
  • The AI solution we delivered predicts battery failures by analyzing vehicle telemetry, ensuring timely repairs and saving the client up to 95% on component guarantees.

Industries

Automotive, Manufacturing, Big data, Artificial intelligence, Machine learning, Internet of things

Solutions

Predictive maintenance, AI/ML library, Machine Learning models, Data pipeline, Data visualization

Services

Full-stack development, Data engineering, AI engineering, QA and software testing, UX/UI design, UI development

Technologies

Python, AWS, AWS Sagemaker, AWS Glue, MWAA, Redshift, PostgreSQL, Node.js, GraphQL, Serverless Framework, Prisma ORM, DBT, Terraform, TypeScript, React.js, Vite

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