Software & AI Engineering
From whiteboard architecture to production on the cloud — KotaiCode is a Frankfurt-based engineering partner for complex software, cloud-native platforms, and applied AI.
We design secure, scalable, and cost-efficient cloud infrastructures using modern automation, observability, and reliability engineering practices. Our goal is to provide a resilient foundation that supports continuous growth and operational excellence.
We create high-quality web applications and backend services optimized for performance, maintainability, and seamless integration. Every solution is tailored to your business logic and built to scale with your needs.
We build intelligent agent ecosystems powered by generative AI, MCP servers, and advanced orchestration tools. Our systems automate complex workflows and deliver practical, measurable value through modern AI capabilities.
Research project with the City of Osnabrück that aims to motivate citizens to adopt more sustainable mobility behavior through a gamified mobile application and environment-aware routing.
Resource Booking Operator enables control of cloud instances using Kubernetes Custom Resources. It allows users to use their infrastructure in a cost-effective way, by only using resources for a specific period of time.
Designed and implemented an internal developer platform standardizing microservice provisioning, deployment, security, and operations across environments, improving onboarding speed, governance, and long-term scalability.
Helps organizations structure and manage internal expertise in a consistent and transparent way. It simplifies how skills and experience are presented while enabling faster team assembly for new opportunities. By centralizing competencies, it improves staffing and resource planning.
Enables organizations to align charts of accounts across systems and reporting standards. It automates complex account mapping while keeping results transparent and easy to review. This reduces manual effort and improves consistency in financial data integration.
Automates the matching of financial transactions and invoices using AI-assisted analysis. It streamlines monthly reconciliation workflows by organizing data uploads, automated matching, and review into a structured process. This reduces manual effort while improving accuracy and transparency in financial operations.
Team
A senior, hands-on team — from founders who still write code to engineers shipping cloud-native and AI systems to production.
Co-Founder & CTO
Two decades of turning “that’s impossible” into “shipped to production” — from whiteboard architecture to CI/CD on AWS. A PhD from TU Munich, fluent across Go, TypeScript and Python, he leads KotaiCode’s AI work: RAG systems, LLM integration and AI-driven platforms for regulated domains like finance and tax.
Co-Founder & Managing Director
A DevOps evangelist and agile architect who pairs cloud-native engineering — Kubernetes, Crossplane and multi-cloud on AWS, GCP and Azure — with a product builder’s instinct honed leading delivery teams at PwC and scaling apps to hundreds of thousands of users.
We design and implement internal platforms that standardize service provisioning, deployment, security, and compliance. From high-level service abstractions to embedded governance-by-design, we reduce onboarding from weeks to days and enable teams to ship safely at scale.
We build and operate scalable AWS and Kubernetes environments with GitOps, Infrastructure-as-Code, and automated security patterns. From multi-account governance to production-grade EKS clusters, we ensure reliability, compliance, and long-term operability.
We modernize legacy systems into resilient, cloud-native architectures. Whether decomposing monoliths into microservices or migrating from public cloud to sovereign on-prem environments, we deliver controlled, value-driven transformation.
We build domain-heavy financial and tax systems that encode regulatory complexity into software. From private equity fund taxation to automated submissions to authorities, we deliver compliance-by-design platforms with auditability and role-based governance.
We translate complex business processes into robust software systems. From approval workflows to multi-entity reporting orchestration, we replace fragmented manual processes with scalable, structured automation.
We extend Kubernetes beyond container orchestration—building custom operators and resource abstractions that automate infrastructure control, lifecycle management, and cost optimization.
We design platforms that ingest, validate, and operationalize real-time data—integrating sensor streams, financial data, or external APIs into production-grade systems with long lifecycle ownership.
We build bespoke systems where off-the-shelf solutions fall short—particularly in domain-heavy environments like finance, mobility infrastructure, and regulated industries. Our focus is long-term architecture, maintainability, and operational ownership.
We design and build production-grade AI systems that combine large language models, structured data pipelines, and intelligent automation. From semantic retrieval and agent-based workflows to explainable decision systems, we turn AI capabilities into reliable platforms embedded directly into real-world operations.
Tell us what you're working on and let’s figure out how we can help you move faster with confidence.
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