- Architecture Analysis. AI agents examine your legacy systems’ structure and surface the logic paths, bottlenecks, and hidden debt that slow delivery.
- Dependency Mapping.AI-assisted analysis of code and production logs shows how systems connect and highlights fragile integrations, duplicated endpoints, and risky third-party touchpoints.
- Security Scan. AI‑driven engines evaluate code, infrastructure, and configurations to pinpoint outdated components, exposed interfaces, and high‑impact vulnerabilities. You get a realistic view of your security posture instead of relying on old audits or assumptions.
- Modernization Roadmap. A data-backed model shows the modernization sequence that gives the fastest operational lift with the lowest execution risk.
- Modernization Cost Modeling. A financial model quantifies the cost of maintaining the current state and contrasts it with the projected gains from modernization and AI‑assisted refactoring.
Modernize-to-AI Programs
-
RECOVER THE RULES BURIED IN THE CODE
Map dependencies and business logic across the legacy codebase with AI, and have architects validate every finding before anything changes. -
MOVE ONE PART AT A TIME
Replace legacy modules behind a stable interface, run old and new side by side, and switch traffic only when their results match. -
PREPARE DATA FOR AI AS YOU GO
Clean, catalog, and migrate data together with the code, so each modernized part can connect to RAG pipelines, agents, or ML models.
The Devox Software Difference
How We Use AI in Modernization
AI Reads, Engineers Decide
AI maps the code, drafts documentation, and proposes refactoring. Every change goes through engineer review and tests before it reaches production.
Tests Before Changes
For code with little or no coverage, we generate tests that record how it behaves today. Refactoring starts once that baseline is in place.
One Part at a Time
We use the Strangler Fig pattern: each function moves to the new system separately, while the rest of the platform keeps running.
Data Moved With the Code
Schemas, lineage and data quality are handled in the same program as the application. When the code is ready for AI, the data is too.
Services
What We Offer
-
Legacy Modernization Assessment
-
AI Data Readiness
- Data Readiness Assessment. We evaluate your current data landscape to determine whether it can support AI workloads and where the gaps are.
- Data Quality Scoring. We score datasets for accuracy, consistency, and completeness to understand how well they can support AI systems.
- Data Access Governance. Permissions, PII handling, and access controls are structured to support safe AI use across your engineering teams.
- Training Data Preparation. Raw data is labeled, structured, and transformed into formats suitable for machine learning and GenAI pipelines.
- AI‑Readiness Roadmap. A clear plan outlines how to move from fragmented, inconsistent data to AI‑ready inputs that can power real applications.
-
AI-Driven Code Refactoring
- Framework Upgrades.Our engineers use AI agents to assess legacy frameworks and move applications to current runtimes such as .NET 10 or the latest LTS JDK.
- Monolith Decomposition. AI systems examine call patterns, data flows, and code boundaries to identify natural seams inside large monoliths.
- Characterization Tests. AI generates tests that record how legacy code behaves today, and engineers review them before any refactoring starts.
- Documentation Generation. AI analyzes undocumented codebases and produces documentation that reflects how the system works today.Â
- Platform Migration. AI-assisted translation moves applications from COBOL, VB6, or legacy PHP into modern stacks, with an engineer reviewing every translated module.
-
Cloud-Native Modernization
- Kubernetes Modernization. We split legacy workloads into container-ready components and move them to Kubernetes, using AI analysis to find where to split.
- Event-Driven Re-Architecture. Workloads are redesigned around serverless functions and event flows, so you stop paying for idle compute.
- Cloud Cost Optimization. Models evaluate usage patterns, resource waste, and deployment inefficiencies to find opportunities to reduce cloud spend without hurting performance.
- Resilient Auto-Scaling.We rebuild architectures to scale automatically and withstand regional failures, traffic spikes, and dependency outages.
- Cloud Migration Execution. AI‑assisted workflows move applications into AWS, Azure, or GCP and change them from basic lift‑and‑shift deployments to fully cloud‑native patterns.
-
Intelligent Data Modernization
- Legacy Database Migration. AI-assisted workflows move legacy databases into modern cloud environments and reshape outdated schemas into cleaner, more scalable structures. The shift removes long‑standing constraints that make data slow, brittle, and expensive to maintain.
- Data Cleanup.AI models detect inconsistencies, duplicates, and low-quality records across data sources. Routine fixes apply automatically, and the rest go to your data owners for review.
- Data Cataloging. We capture and connect metadata to show where each data set comes from, how it moves, and who relies on it.
- Lakehouse Modernization. Legacy warehouses are re-platformed to modern lakehouse architectures such as Snowflake or Databricks.
- GenAI Data Pipelines. Pipelines generate embeddings, build retrieval layers, and connect structured and unstructured data so RAG and agent systems can query both.
Benefits
What Changes After Modernization
-
Documentation
that matches the running system
Your team gets a description of how the system works today, including the business rules that lived only in the code. New engineers can start from it.
-
Data
your AI projects can use
Data sets are scored, cleaned, and cataloged. When a model gives a wrong answer, you can trace which source it came from.
-
A cost case
for each phase
Each phase comes with the cost of keeping the old system compared with the cost of replacing that part. Leadership approves the next step with those numbers in hand.
-
Customers
keep working
Migration happens in small steps behind a stable interface. Most changes go out without users noticing.
Manufacturing
Building an AI-Assisted Anomaly Investigation System on a 15-Year-Old .NET Platform
A governed API layer gave AI controlled access to trusted anomaly data and historical context while preserving existing business rules and cutting investigation prep from hours to minutes.
Additional Info
Core Tech:
- C#
- .NET Framework
- ASP.NET Web API
- REST API
- Microsoft SQL Server
- Entity Framework / ADO.NET
- Azure OpenAI
- Python, NUnit / xUnit
Insurance
AI-Powered Architecture Discovery for a Legacy Monolith
A safe, downtime-free modernization of a mission-critical monolith mobile app through AI-assisted architecture discovery to reveal dependencies and design an incremental, audit-friendly roadmap.
Additional Info
Core Tech:
- .NET 8
- ASP.NET Core
- Azure AKS
- Azure DevOps
- OpenTelemetry
- Grafana
- Kafka
- Redis
- PostgreSQL
- Azure Key Vault
Country:
USA
Testimonials
Testimonials
Sweden
The solutions they’re providing is helping our business run more smoothly. We’ve been able to make quick developments with them, meeting our product vision within the timeline we set up. Listen to them because they can give strong advice about how to build good products.
Carl-Fredrik Linné
Tech Lead at
CURE Media
United States
We are a software startup and using Devox allowed us to get an MVP to market faster and less cost than trying to build and fund an R&D team initially. Communication was excellent with Devox. This is a top notch firm.
Darrin Lipscomb
CEO, Founder at
Ferretly
Australia
Their level of understanding, detail, and work ethic was great. We had 2 designers, 2 developers, PM and QA specialist. I am extremely satisfied with the end deliverables. Devox Software was always on time during the process.
Daniel Bertuccio
Marketing Manager at
Eurolinx
Australia
We get great satisfaction working with them. They help us produce a product we’re happy with as co-founders. The feedback we got from customers was really great, too. Customers get what we do and we feel like we’re really reaching our target market.
Trent Allan
CTO, Co-founder at
Active Place
United Kingdom
I’m blown up with the level of professionalism that’s been shown, as well as the welcoming nature and the social aspects. Devox Software is really on the ball technically.
Andy Morrey
Managing Director at Magma Trading
Switzerland
Great job! We met the deadlines and brought happiness to our customers. Communication was perfect. Quick response. No problems with anything during the project. Their experienced team and perfect communication offer the best mix of quality and rates.
Vadim Ivanenko
COO at
Optherium
United States
The project continues to be a success. As an early-stage company, we're continuously iterating to find product success. Devox has been quick and effective at iterating alongside us. I'm happy with the team, their responsiveness, and their output.
Sweden
We hired the Devox team for a complicated (unusual interaction) UX/UI assignment. The team managed the project well both for initial time estimates and also weekly follow-ups throughout delivery. Overall, efficient work with a nice professional team.
John Boman
Product Manager at
Lexplore
Canada
Their intuition about the product and their willingness to try new approaches and show them to our team as alternatives to our set course were impressive. The Devox team makes it incredibly easy to work with, and their ability to manage our team and set expectations was outstanding.
Tamas Pataky
Head of Product at
Stromcore
Estonia
Devox is a team of exepctional talent and responsible executives. All of the talent we outstaffed from the company were experts in their fields and delivered quality work. They also take full ownership to what they deliver to you. If you work with Devox you will get actual results and you can rest assured that the result will procude value.
Stan Sadokov
Product Lead at
Multilogin
United Kingdom
The work that the team has done on our project has been nothing short of incredible – it has surpassed all expectations I had and really is something I could only have dreamt of finding. Team is hard working, dedicated, personable and passionate. I have worked with people literally all over the world both in business and as freelancer, and people from Devox Software are 1 in a million.
Mark Lamb
Technical Director at M3 Network Limited
Insights
Our Experts' Insights
AI & ML
AI Solutions
Industry Trends
Logistics
The AI Revolution in Retail: Transforming the Shopping Experience
AI Solutions
Research Paper
Beyond OCR: Why Enterprises Are Adopting Intelligent Document Processing in 2026
AI & ML
AI Solutions
Workflow Management
Preparing Your Enterprise for AI: AI Readiness Assessment Framework
FAQ
Frequently Asked Questions
-
How do you control modernization costs?
Each phase gets its own estimate before it starts, comparing the cost of keeping that part of the system with the cost of replacing it. AI-assisted analysis and refactoring shorten the manual work, and engineers review every change. Leadership approves the next phase only after seeing the results of the previous one.
-
How do you uncover legacy business rules and algorithms?
We use AI-assisted analysis to map the codebase and surface the business rules embedded in it. Often, that shortens work that would otherwise take weeks of manual review. Our architects validate the findings and turn them into documentation your team can use, giving you clearer control of critical IP and a stronger foundation for modernization.
-
How do you move legacy tech stacks into modern systems?
AI drafts the translation from the legacy language into the target stack, and an engineer reviews every module. Characterization tests recorded before the move must pass on the new code. Old and new versions then run in parallel until their outputs match.
-
How do you avoid cloud vendor lock-in?
We keep the core system on containers, open data formats, and standard interfaces, so it can run on AWS, Azure, or GCP. Where a managed service such as Snowflake or Databricks is the better choice, we document what a move away from it would take.
-
How do you keep AI outputs accurate?
We design AI architectures with governance, lineage, and data controls built in from the start. Applications connect to a consistent source of truth, which helps AI systems work from reliable data. That improves the accuracy and auditability of RAG-based workflows while preserving security controls.
-
How do you keep operations running during modernization?
We modernize in phases using the Strangler Fig pattern, replacing one part of the system at a time while the core platform remains in service. We isolate each function and transition it gradually so customer activity, transactions, and day-to-day operations continue with minimal disruption.
Book a call
Want to Achieve Your Goals? Book Your Call Now!
Having trouble booking? Open the booking page.
Contact Us
We Fix, Transform, and Skyrocket Your Software.
Tell us where your system needs help — we’ll show you how to move forward with clarity and speed. From architecture to launch — we’re your engineering partner.
Book your free consultation. We’ll help you move faster, and smarter.
Let's Discuss Your Project!
Share the details of your project – like scope or business challenges. Our team will carefully study them and then we’ll figure out the next move together.
Thank You for Contacting Us!
We appreciate you reaching out. Your message has been received, and a member of our team will get back to you within 24 hours.
In the meantime, feel free to follow our social.
Thank You for Subscribing!
Welcome to the Devox Software community! We're excited to have you on board. You'll now receive the latest industry insights, company news, and exclusive updates straight to your inbox.