Modernize without stopping the business
We help mid-market companies modernize legacy systems safely, incrementally and with measurable business value — powered by AI, delivered by experts.
Who it's for
We work with mid-market organizations that rely on mission-critical software
and need to modernize without disrupting day-to-day operations.
We work with mid-market organizations that rely on mission-critical software
and need to modernize without disrupting day-to-day operations.
- Mid-market companies
50–2,000 employeesEstablished organizations with critical systems, growing technical complexity, and ambitious business goals. - CTOs & Heads of EngineeringSimultaneous, consecutive, liaison, whispered, and telephone interpreting for any kind of event.
- DACH / Poland / UKWe primarily work with companies in Germany, Austria, Switzerland, Poland, and the United Kingdom.
Common symptoms of legacy systems
We work with mid-market organizations that rely on mission-critical software
and need to modernize without disrupting day-to-day operations.
We work with mid-market organizations that rely on mission-critical software
and need to modernize without disrupting day-to-day operations.
Symptom
What it indicates
Business impact
Example signs
How we help
Slow system performance
Outdated architecture
Reduce productivity and poor user experience
Long response time, batch delays
Optimize architecture and performance
Frequent system crashes
Accumulated technical debt
Operational disruption and revenue loss
Unplanned downtime, recurring error
Stabilize and modernize critical components
Difficult integrations
Inflexible legacy architecture
Limited scalability and higher integration costs
Custom interfaces, manual data transfers
Build modern APIs and integration layers
Hight maintenance costs
Aging technologies
Increasing IT expenses
Rising support efforts, scarce specialists
Reduce complexity and modernize the technology stack
Slow feature delivery
Tightly coupled code
Delayed innovation and missed opportunities
Long release cycle, risky changes
Modularize architecture and accelerate delivery
Security vulnerabilities
Unsupported components
Increased security and compliance risks
Outdated libraries, missing patches
Update, harden and secure applications
Dependency on key people
Insufficient documentation
Business continuity risks
Tribal knowledge, single points of failure
Document, simplify and reduce knowledge dependency
Inability to adopt AI
Legacy data and architecture
Reduced competitiveness
Siloed data, limited integration capabilities
Build a modern, AI-ready foundation
Our method
A structured, low-risk approach to modernization that combines AI-assisted analysis with expert engineering and incremental delivery.
A structured, low-risk approach to modernization that combines AI-assisted analysis with expert engineering and incremental delivery.
Symptom
What it indicates
Business impact
Example signs
How we help
Slow system performance
Outdated architecture
Reduce productivity and poor user experience
Long response time, batch delays
Optimize architecture and performance
Frequent system crashes
Accumulated technical debt
Operational disruption and revenue loss
Unplanned downtime, recurring error
Stabilize and modernize critical components
Difficult integrations
Inflexible legacy architecture
Limited scalability and higher integration costs
Custom interfaces, manual data transfers
Build modern APIs and integration layers
Hight maintenance costs
Aging technologies
Increasing IT expenses
Rising support efforts, scarce specialists
Reduce complexity and modernize the technology stack
Slow feature delivery
Tightly coupled code
Delayed innovation and missed opportunities
Long release cycle, risky changes
Modularize architecture and accelerate delivery
Security vulnerabilities
Unsupported components
Increased security and compliance risks
Outdated libraries, missing patches
Update, harden and secure applications
Dependency on key people
Insufficient documentation
Business continuity risks
Tribal knowledge, single points of failure
Document, simplify and reduce knowledge dependency
Inability to adopt AI
Legacy data and architecture
Reduced competitiveness
Siloed data, limited integration capabilities
Build a modern, AI-ready foundation
Scan
Analyze your codebase and infrastructure using AI-assisted tools and expert review to identify dependencies, technical debt, and modernization opportunities.
Test-harness
Establish automated tests and validation mechanisms to protect existing functionality and make future changes safer.
Rank
Prioritize components based on business value, technical risk, dependencies, and implementation effort.
Architect
Design the target architecture and develop a practical roadmap for incremental modernization.
Nibble
Modernize in small, manageable increments while maintaining existing functionality and minimizing disruption.
Guard
Apply continuous testing, code reviews, security checks, and quality controls throughout the modernization process.
Launch
Deploy modernized components safely into production without interrupting critical business operations.
Evolve
Continuously monitor, improve, and extend the modernized system as business needs change.
Delivery time
A transparent, phased approach that delivers measurable results from the first weeks and keeps your business running throughout modernization.
A transparent, phased approach that delivers measurable results from the first weeks and keeps your business running throughout modernization.
X-Ray — Week 1
Analyze your existing codebase, architecture, dependencies, and technical risks. Identify modernization opportunities and areas requiring immediate attention.
Blueprint — Weeks 2–3
Define the target architecture, prioritize modernization tasks, and create a practical roadmap aligned with your business objectives.
Pilot — Weeks 4–7
Modernize a selected component to validate the proposed approach. Test its performance, reliability, and integration with existing systems before expanding the project.
Modernize & Evolve — 8-Week Blocks + Ongoing Support
Modernize components in structured 8-week cycles, followed by ongoing monitoring, security checks, and continuous improvements.
Typical duration by size
Every modernization project is different. These estimated timelines help you understand what to expect based on your codebase size and complexity.
Every modernization project is different. These estimated timelines help you understand what to expect based on your codebase size and complexity.
Codebase size
Typical duration
Includes
Small Codebases
Up to 100,000 Lines of Code
Up to 100,000 Lines of Code
3–5 Months
Targeted modernization of smaller applications, focusing on essential improvements and efficient delivery.
Medium Codebases
100,000–500,000 Lines of Code
100,000–500,000 Lines of Code
5–9 Months
Progressive modernization of more complex systems through carefully planned implementation phases.
Large Codebases
Over 500,000 Lines of Code
Over 500,000 Lines of Code
9–14 Months
Comprehensive modernization of large-scale applications, managing complex dependencies and minimizing operational risks.
Our approach to AI
We use AI transparently and responsibly to accelerate code analysis, documentation, testing, and modernization — while keeping experienced engineers accountable for every critical decision.
Our principles:
- AI augments our engineers — it does not replace them.
- Human experts review and approve critical changes.
- We use enterprise-appropriate AI tools and security controls.
- Your code and data are handled according to agreed confidentiality and data-processing requirements.
- We document how AI is used throughout the modernization process.
- Every AI-assisted change is subject to appropriate validation and testing.
AI accelerates the process. Engineering expertise ensures reliability.
Compliance by design
Modernization is not only about improving performance. It is also an opportunity to strengthen security, reduce operational risk, and prepare your software for evolving regulatory requirements.
NIS2 (Strengthen cybersecurity risk management, incident response, and operational resilience).
DORA (Support digital operational resilience requirements for financial entities and relevant ICT service providers).
EU AI Act (Prepare AI-enabled systems for applicable governance, transparency, and risk-management obligations).
Cyber Resilience Act (CRA) (Address applicable cybersecurity requirements for products with digital elements throughout their lifecycle).
EOL frameworks are audit findings. (End-of-life frameworks and unsupported dependencies can create security vulnerabilities, compliance gaps, and audit findings).
We help identify outdated components, prioritize remediation, and document modernization decisions to support security and compliance reviews.
Specific regulatory obligations depend on your industry, organization, products, and the applicable legal requirements.
Frequently asked questions
Straight answers to the questions we hear most often.
Straight answers to the questions we hear most often.
No. Our approach is designed around incremental modernization, allowing existing systems to continue operating while components are improved or replaced.
We use phased deployments, automated testing, and carefully planned transitions to minimize disruption. Some changes may still require scheduled maintenance windows.
We use phased deployments, automated testing, and carefully planned transitions to minimize disruption. Some changes may still require scheduled maintenance windows.
You retain ownership of your existing code. Ownership of newly developed deliverables is defined in the project agreement, and our standard approach is to transfer the agreed intellectual property rights to the client.
AI-generated or AI-assisted changes are not deployed without appropriate validation.
We use automated testing, human code reviews, controlled deployment processes, and rollback mechanisms to reduce the risk of introducing defects.
We use automated testing, human code reviews, controlled deployment processes, and rollback mechanisms to reduce the risk of introducing defects.
We begin with a Codebase X-Ray to understand the technical landscape and identify risks.
Based on the findings, we define the scope, deliverables, assumptions, and acceptance criteria for each phase. This allows us to propose fixed-price work packages where the scope is sufficiently clear.
Based on the findings, we define the scope, deliverables, assumptions, and acceptance criteria for each phase. This allows us to propose fixed-price work packages where the scope is sufficiently clear.
Timelines depend on the size and complexity of your system.
As a general guide, smaller codebases may take 3–5 months, medium-sized systems 5–9 months, and larger environments 9–14 months or longer.
The initial Codebase X-Ray provides a more reliable estimate.
As a general guide, smaller codebases may take 3–5 months, medium-sized systems 5–9 months, and larger environments 9–14 months or longer.
The initial Codebase X-Ray provides a more reliable estimate.
We assess legacy and modern technology stacks, including monolithic applications, databases, APIs, and distributed systems.
Our recommendations depend on your existing architecture, business requirements, and long-term technical goals.
Our recommendations depend on your existing architecture, business requirements, and long-term technical goals.
We integrate security and quality checks throughout the modernization process.
Depending on your requirements, this may include dependency scanning, secure coding practices, access controls, automated testing, documentation, and compliance-focused architecture reviews.
Depending on your requirements, this may include dependency scanning, secure coding practices, access controls, automated testing, documentation, and compliance-focused architecture reviews.
Yes. Our Guardian phase supports ongoing monitoring, maintenance, security improvements, and further modernization.
We help your systems remain reliable, maintainable, and aligned with changing business requirements.
We help your systems remain reliable, maintainable, and aligned with changing business requirements.
Ready to see what's possible?
Get a Codebase X-Ray and discover the risks, opportunities, and practical next steps for modernizing your systems.
- Clear technical and business insights
- Prioritized modernization opportunities
- A practical roadmap for next steps
- No obligation to proceed with implementation
