// Services

Three disciplines. One goal: Enterprise software that works.

We don't build features, we build products. Cloud-native, AI-first, with accountability.

We build productive AI systems that do real work. Agents with system-level permissions that deploy code, monitor infrastructure, and automate business processes.

We don't use AI as a feature, but as the core of how we work.
50 AI models in production. Thousands of agents at enterprise clients.

What we deliver

  • /Custom Agent Frameworks: Tailored agent platforms for enterprise requirements
  • /AI Platforms: Self-service platforms where business teams build their own agents
  • /Agentic Workflows: AI-driven process automation with real system-level permissions
  • /LLM Integration: Provider-agnostic architecture (Anthropic, OpenAI, Google, Meta)
  • /Voice AI: Real-time voice agents for business processes

Proof

  • /SiemensGPT: 120,000 users, 50 AI models, no-code agent builder
  • /Siemens Energy AI Platform: Self-service agents, self-healing,
    voice AI
  • /AI agents that write Python code and deploy it as Lambda
AWS BedrockAnthropic ClaudeOpenAIGoogle GeminiLiteLLMLangGraphGoogle ADK

We architect and build cloud infrastructure that meets enterprise requirements without sacrificing speed. Security by design, not as an afterthought.

Our architects work in the most complex AWS environments in the world. 1,500+ AWS accounts, cross-account infrastructure, multi-region deployments.

What we deliver

  • /Cloud-native Architectures: Serverless, containers, event-driven on AWS
  • /Infrastructure at Scale: Multi-account strategies for large enterprises
  • /Security by Design: Enterprise security as an architectural principle
  • /Platform Engineering: Self-service platforms for developer teams
  • /Migration & Modernization: From legacy to cloud-native (only with AI component)

Proof

  • /Siemens Data Cloud: 1,500+ AWS accounts, complex cross-account infrastructure
  • /HR Data Hub: Cloud-native architecture, 800K EUR/year savings
  • /VW: 100+ parallel ML environments, self-service provisioning
AWS FargateLambdaStep FunctionsCloudWatchECSS3DockerKubernetesTerraformCDK

We build data platforms that meet compliance requirements in 150+ countries while enabling self-service for business teams. No manual processes, no months-long lead times.

Where legacy systems block integration, we deploy AI agents that automatically write transformation code and deploy it.

What we deliver

  • /Data Distribution Platforms: End-to-end from data collection to distribution
  • /Self-Service Data Shops: Business teams order and use data independently
  • /ML Platforms: Infrastructure for machine learning at scale
  • /AI-driven Integrations: Agents write transformation code for legacy systems
  • /Compliance by Design: Data privacy requirements as part of the architecture

Proof

  • /SE HR Data Hub: EUR 800,000/year cost savings, 150+ countries, self-service
  • /VW Snowpark: 100+ ML environments, autonomous driving, digital twins
SnowflakeAWS S3GlueAthenaSageMakerPyTorchApache SparkJupyter
// How we work

How we work.

01

Ownership and accountability

We deliver projects with accountability. The product matters, and we develop genuine attachment to our clients' products.

02

Show what's possible, fast

20 testable approaches in a short time. Prototypes in the first week, feedback from real users from day 1.

03

AI makes us faster. Not worse.

We focus on architecture and decisions.
AI handles execution.

04

Security by design from day 1.

In every project. Governance across 1,500+ AWS accounts proven at Siemens.

Discuss your project

Tell us about your challenge. We'll show you how we solve it.

Get in touch
// Discover more
Case StudySiemensGPT120,000 users. The proof.Case StudyHR Data HubEUR 800,000 saved. Per year.PersonJannik FrischArchitect behind SiemensGPT, HR Data Hub, and SE AI Platform.