Modernize Technical Debt at the Core

Our proven AI-assisted methodology transforms legacy codebases into modern, maintainable systems. We work alongside your team to reduce technical debt and accelerate development without business disruption.

Tech Debt is Killing Your Business

See the hidden costs

The Intelligence Advantage

Download our comprehensive PDF guide

Tech Debt is halting your progress

0%

We all know it!
But still, 72% of company leaders still ignore legacy code and deprioritise it in sprints, leading to future frustrations.

Core

The Kyln Core Methodology

Our approach combines artificial intelligence capabilities with proven software engineering principles to create a systematic path toward modernization.

Code & Tech Stack Analysis

We analyze your existing codebase and tech stack to identify its architecture and tech debt patterns. We talk with your Tech Leads to find critical pain points.

TaskForge & KnowledgeForge

We implement our AI-powered frameworks designed with human-in-the-loop architecture, creating the foundation for controlled, semi-automatic legacy code refactoring.

Strategic planning

A careful deployment plan, ensures the project is being updated seamlessly while you continue your work.

Measuring results

Our case studies show that refactoring legacy code can be done up to 63% faster with AI tooling. Not all tech debt is created equal, but even a small boost can be significant.

Reduce your Tech Debt Today

Our exploratory consultation provides clarity on modernization opportunities specific to your organization. Let's start with an AI experiment.

Get in touch
Leopold van Oosten - Founder of Kyln / CEO of Amsterdam Standard

Leopold van Oosten

Founder of Kyln / CEO of Amsterdam Standard

Adam Matysiak - Partnerships manager

Adam Matysiak

Partnerships manager

Up to 63% more efficient in refactoring

Our case studies show that refactoring legacy code can stop being a chore with AI tooling. Not all tech debt is created equal, but even a small boost can be significant.

Download full PDF

Ebook 2
Ebook 3
Ebook 1
Ebook 0