Where Does Your Data and AI Initiative Begin?
Data and AI initiatives can start from different challenges: analyses fail to answer new questions, data isn’t reliably available, AI models aren’t making it into production, generative AI needs clear guidelines, or existing systems are limiting further development.
Our five focus areas categorize these starting points and identify which solution space is appropriate from both a business and technical perspective.
Our Services
- Explore
Evaluate potential, and make decisions. Use case assessment, data strategy, potential analysis, and technology consulting provide clarity for the next step. - Architect
Develop target architectures and document decisions in a transparent manner. Software architecture, data architecture, and platform concepts organize systems and dependencies. - Develop
Implement solutions with documented quality. Software engineering, data engineering, AI engineering, and integration work together within the project. - Deploy
Ensure stable operation and steer further development. MLOps, DevOps, monitoring, support, and technical enhancement become part of the solution.
Automated Market and Competitive Analysis with Agentic AI
HMS developed an Agentic AI solution for a global pharmaceutical company that automatically collects and reviews market and competitive intelligence and makes it available for reports and ad hoc queries.
Cloud-Native Statistical Computing Environment for Clinical Trials
HMS replaced a 25-year-old SAS system at Boehringer Ingelheim with a cloud-native Statistical Computing Environment on AWS. The platform integrates SAS Viya and supports automated validation in a GxP-regulated environment.
Application Modernization with GenAI: From SAS to Python on AWS
A leading insurance group modernised a core SAS application on AWS. HMS designed the target architecture and migration approach, implemented the modernisation, and evaluated the use of GenAI to support the migration from SAS to Python.
Why HMS
Your Partner for Data & AI
HMS combines architecture, software engineering, and regulatory expertise. We provide independent consulting, free from ties to technology vendors, and incorporate integration, governance, and operations into technical decisions from the very beginning.
Our focus is on complex enterprise environments and regulated industries. HMS is owner-managed, 100% independent, and supports data and AI systems throughout their production lifecycle.
