Enterprise & Custom Software

This category is about custom enterprise software, clean system integration and the AI infrastructure that keeps both running in production. The honest first question is almost always the same: does bespoke development actually pay off, or are you better off configuring a platform you already own? We work through it instead of skipping past it.

The integration side matters just as much. SAP, Microsoft 365, Salesforce or an ERP that has grown over a decade can be wired together through APIs, webhooks and middleware, without spawning yet another data silo in the process.

On the technical side, we care about foundations that still hold up two years later: deployments on AWS with Amazon Bedrock, ECS/EKS, Lambda and VPC isolation, alongside Google Gemini Enterprise or Vertex AI. Retrieval-augmented generation over vector databases like pgvector or Pinecone, LLM gateways and the Model Context Protocol (MCP) wire agents to internal data sources under control. Infrastructure as code with Terraform, containerised microservices on Kubernetes and CI/CD pipelines keep the whole thing reproducible and auditable, and the choice between cloud-native, hybrid or on-premises follows compliance and latency, not the trend of the week.

For decision-makers across the DACH region, governance is rarely an afterthought: EU data residency (say AWS eu-central-1 in Frankfurt), GDPR, SSO and role-based access control are on the table during selection. The articles here frame build versus buy, walk through reference architectures and show how custom software scales without vendor lock-in and with operating costs you can actually predict.