Code & dependency mapping
Identify how components interact and where hidden coupling creates migration risk.
Software modernization
Modernize the system without losing the business logic inside it.
The rules inside an old system are often worth more than the technology holding them. We map the data, behaviour, dependencies, and edge cases before we replace anything — then modernize both the architecture and the workflows around what the business needs now.
The risk in legacy isn't the age. It's the unknowns.
Old systems run because they encode years of real business rules — often undocumented, often understood by no one still around. The danger in modernizing isn't the technology; it's replacing that logic before you've understood it. Do that and you don't get a modern system, you get a modern set of new bugs.
We start by reading the old system — its data, its rules, its edge cases — and build a documented map before touching a replacement. Then we modernize the experience and the architecture on top of logic we've actually understood.
What we build.
System replacements
Modern software that preserves the business logic inside the old one.
Re-platforming
Move off aging or costly infrastructure onto a modern stack.
Modern UX on legacy systems
A consumer-grade experience on top of enterprise-grade rules.
API layers over legacy
Expose old systems cleanly so new products can use them.
Data migration
Move data safely, with the edge cases accounted for.
Incremental modernization
Modernize in safe stages instead of a risky big-bang rewrite.
AI-enabled workflows
Introduce search, decision support, document understanding, or governed automation where the existing process genuinely benefits.
Understand the old system before you replace it.
Legacy systems contain years of undocumented decisions.
We use engineering analysis — and AI-assisted code and documentation analysis where it helps — to map dependencies, business rules, data structures, interfaces, and edge cases before changing the system.
The output is understanding, not an automated rewrite.
Business-rule reconstruction
Document the behaviour the business depends on before replacing the code that currently carries it.
Data & interface mapping
Understand data models, integrations, APIs, files, and external dependencies before migration.
Test the behaviour
Build regression coverage around critical rules so modernization preserves what actually matters.
Modernize the business, not just the stack.
Once the existing behaviour is understood, we ask a second question: which parts of the old workflow should still exist?
A successful modernization does not reproduce every twenty-year-old screen and manual process on newer technology.
Keep deterministic rules deterministic
Preserve rules, calculations, transactions, and controls where certainty matters.
Expose useful capabilities
Turn legacy functions and data into clean APIs that new products and services can use.
Add intelligent access
Introduce better search, document understanding, recommendations, or decision support where they reduce real friction.
Automate repetitive work
Move appropriate multi-step processes toward governed automation while keeping exceptions and consequential decisions visible to people.
Modernization is not moving old behaviour onto a new framework.
It is deciding which behaviour still belongs in the product.
Fast doesn't have to mean unpredictable.
The reason software runs late and over budget is rarely the code — it's the chaos around it. We plan before we build, run the work as Missions you can watch, validate every change against an explicit definition of done, and review it before it ships. You get the speed of AI with the discipline that keeps software maintainable for years.
Proven on software companies actually depend on.
14 years building production software for
Proof — SAP
We put a Mint-quality consumer experience on top of SAP's ERP — part of its 'consumerization of enterprise IT' initiative.
SAP wanted to lead a new wave of applications that cut across its siloed enterprise systems, with design at the center. We built a highly polished iPad app for corporate spend management — a consumer-grade experience on top of the strong business processes and rules embedded in SAP's ERP, consuming a host of exposed API services. It became one of the first in SAP's 'consumerization of IT' initiative, and was highly successful.
A 14-year playbook, enforced by software.
Across more than 200 products, the difference between projects that ship clean and projects that spiral came down to a few disciplines. We turned them into how Cortex runs every build — so they happen every time, not just when someone remembers.
Built on the modernization playbooks in the Kinetic LibraryPlan in Missions
Every build starts as a plan a human approves — scope, definition of done, and boundaries — before a line of code is written.
Trace every commit
Each change is tied back to the plan it came from, so you can always see what was built, why, and by whom.
Test the contract
Work is validated against an explicit definition of done, not a demo — proven correct before it ever ships.
From COBOL to serverless.
We build on a modern stack and we read the old one before we replace it. Over a decade across enterprises means we're as comfortable in a legacy monolith as we are on the edge.
Modern stack
- React & TypeScript
- Node.js, Python & Go
- Serverless & edge
- Cloud-native (AWS / GCP / Azure)
- Postgres & modern data stores
- AI / LLM application layers
Legacy we speak
- COBOL & mainframe logic
- Java & .NET monoliths
- Legacy relational databases
- On-prem & regulated environments
- Undocumented internal APIs
- Systems no one wants to touch
Who it's for.
Companies stuck on a system they can't change
Modernize without losing the logic your business runs on.
Teams paying to stand still
Escape licensing and maintenance costs that climb every year.
Enterprises modernizing the experience
Put a modern UX on top of proven enterprise rules.
Not a typical software company.
Forward-deployed engineers, not juniors
Every engagement is led by engineers who've shipped production software for years.
AI speed, with the controls
Validation and human review are built into the process, not bolted on at the end.
Fully yours, fully accountable
Full IP assignment, an NDA from the first conversation, and an audit trail that outlives the project.
Questions, answered.
What is legacy modernization?
Legacy modernization is replacing or re-platforming an aging system while preserving the business logic inside it — the rules, edge cases, and workflows that the old system encodes and your business still depends on.
How do you avoid losing business logic in a rewrite?
We map the old system first — its data, rules, and edge cases — into a documented blueprint before building a replacement. Modernizing logic we've actually understood is what keeps a rewrite from becoming a new set of bugs.
Do we have to replace everything at once?
No. We favor incremental modernization — API layers, staged replacements, and safe cutovers — so you reduce risk instead of betting the business on a single big-bang launch.
Who owns the modernized system you build?
You do, completely. Every engagement includes full IP assignment and is covered by an NDA from the first conversation.
Start with a clear-eyed look at your build.
Whether you're starting fresh or improving something that exists, begin with a free Agent Readiness Assessment — a concrete read on where AI-assisted delivery is safe, where it's risky, and where the leverage is. The report is yours either way.
This service is available as a Cortex Pod — scoped to an outcome, governed end to end.