Custom business applications
Build full-stack applications with SAP CAP, Node.js, TypeScript and SAPUI5. Connect business APIs, data and user interfaces so AI capabilities fit into an application people can use.
BREDA, THE NETHERLANDS · ACROSS EUROPE
AI engineering.
Built around real work.
Build AI into the systems where work happens. We connect agents, knowledge and business actions through SAP BTP, enterprise APIs and workflow automation, with architecture, evaluation and engineering support for teams across Europe.
Discuss your AI projectWhere we can help
Turn a business need
into working software.
A useful AI system connects a model to the right knowledge, business logic and applications. We start with the task people need to complete, then design the software and controls that support it.
AI agents and MCP integrations
Develop agents with LangGraph and LangChain, using MCP servers and tools to access SAP data and business functions. Define what an agent may read, prepare and execute, with human approval where needed.
Business process automation
Combine SAP Build Process Automation, CAP services and business events. Build forms, decision tables and approval flows for processes such as procurement and document handling.
Enterprise AI platforms
Evaluate and integrate SAP AI Core, AI Launchpad and SAP Joule capabilities. Use focused proofs of concept to establish the right architecture, platform connections and operating responsibilities.
Knowledge and decision support
Connect retrieval, HANA Cloud vector search and business data to an application. Help people find relevant context, understand source information and make decisions within their existing workflows.
Evaluation and observability
Trace and evaluate AI behavior with tools such as Arize Phoenix. Combine monitoring, review and CI/CD practices so changes to models, prompts and business integrations can be assessed and maintained.
From context to operation
Define the task.
Evaluate the result.
Expert consultancy or delivery with your team. The starting point is a specific business need and a clear first scope.
Choose a useful first scope
Identify the users, task and expected outcome. Agree how the application or AI workflow will be evaluated before expanding its responsibilities.
Build the connections
Connect the model, business logic, knowledge and APIs. Define what the system may read, prepare and execute, with review where it is needed.
Test and improve
Evaluate behavior against real business needs. Monitor the deployed system and improve it as workflows, models and requirements change.
What your team receives
- A defined business task, access boundaries and evaluation criteria.
- Application and integration source, with tests and representative evaluation cases.
- Monitoring guidance, operating responsibilities and a team handover.
One connected ecosystem.
Our enterprise roots help us connect AI applications to SAP and other business systems. Where company knowledge needs a private deployment, we can include private cloud, on-premises or self-hosted options in the architecture.
Before we start
A little more
context.
What is included in an AI engineering project?
The scope can include custom application development, AI assistants, decision support, AI agents, API integrations and document workflows. Architecture, testing, evaluation and operational responsibilities are agreed around the business need.
How do you handle oversight for AI agents?
We define access boundaries and the actions an agent may prepare or execute. Workflows can request human approval before updating business systems, with evaluation, monitoring and traceability included in the design.
Can you work with our existing software and engineering team?
Yes. We can deliver a connected application or add software engineers and architects to your team. We start by understanding your current systems, requirements and delivery responsibilities.
Let’s connect
Let’s make
what’s next work.
Tell us about your AI engineering project,
your existing systems and what you want to achieve.