Case Study
Designing AI and ML Deployment Platform to Accelerate the Implementation of AI-powered Software
To accelerate innovation and maintain its edge in a fast-evolving automotive landscape, an automotive company needed to empower its AI and machine learning teams with a dedicated, production-ready platform designed to bridge the gap between experimentation and real-world deployment.
Facing hundreds of AI initiatives but with only one or two out of fifty ever making it into production, the company recognized that its world-class data scientists excelled at research yet lacked the infrastructure and tooling to build enterprise-grade applications.
Fragmented workflows and a lack of standardized infrastructure were slowing down time-to-value and limiting the scalability of AI initiatives. Business leaders recognized that to stay ahead in an increasingly software-defined industry, internal teams needed faster, easier access to the tools, data, and computing power required to build AI solutions.
Approach
Grape Up joined the project to help the company design a flexible and future-ready platform to support the deployment of AI and ML applications across the organization.
Working closely with the customer, Grape Up helped shape the platform’s structure, guided key decisions, and ensured smooth integration with the company’s existing operations. In addition to supporting platform design, Grape Up provided DevOps expertise to streamline infrastructure management, automation, and deployment processes.
The team also supported the transition from earlier environments, minimizing disruption and enabling faster onboarding for new projects.
Outcome
By building a dedicated platform that lets AI, ML, and analytics teams seamlessly deploy their code into a secure, production-grade environment – fully compliant, stable, and locked down – the company slashed non–value–added development work by up to 80%.
Today, more than half of its AI initiatives successfully reach production, enabling the rapid launch of data-driven features and reinforcing the customer’s leadership in intelligent automotive technology.
By simplifying onboarding, automating deployment steps, and providing guided frameworks, the solution supports hundreds of internal projects while ensuring high standards for quality and compliance. Teams benefit from reduced operational overhead and increased focus on innovation, not infrastructure.