Grape Up

Enterprise cloud, data and AI engineering

Grape Up works with large enterprises to modernize their systems, putting data and AI underneath everything it builds. It describes itself as combining software engineering excellence with business intelligence. The company has particular depth in the automotive sector, where its work helps manufacturers create cars whose functions run in software, and it also works in finance, insurance, manufacturing, aviation, telecoms and retail.

Cloud infrastructure built for data and AI

The cloud practice builds infrastructure for data and AI workloads. Grape Up also offers Cloudboostr, its own Kubernetes stack for private and public clouds, which it presents as a way for organizations to run modern applications across different environments with consistent tools.

Modernizing legacy applications

Legacy transformation is delivered with the company's G.Tx platform, which uses agent-driven methods to change older applications. It is described as part of the firm's wider focus on agentic AI.

Data platforms and data products

The company builds modern data platforms for data-driven enterprises. It also sells a tool for packaging data for partners, with licensing and sharing built in, so that a client can make its information available to others under agreed terms.

AI, analytics and governance

Advanced analytics work spans business reporting, generative AI and agent systems that run in live production. Grape Up also offers an AI governance platform alongside its analytics work.

Automotive and mobility solutions

For carmakers and mobility companies, the firm offers connected car services, shared mobility tools, VIN recognition and a vehicle inspection API. Published case studies cover work with two carmakers getting ready for the EU Data Act, which sets out how data generated by connected products must be shared.

Sectors and transformation work

Beyond automotive, the company lists solutions for finance, manufacturing and aviation, and it works with insurance, telecoms and retail clients. Its stated approach is to pair technical delivery with business insight, so that each project connects to a clear commercial outcome rather than a technical checklist.