Your Software Still Works. It Just Can’t Keep Up.
We re-engineer ageing applications onto a modern, supportable stack—keeping your data, your workflows and your customers intact. AI does the heavy lifting of reading, mapping and testing the old code; senior engineers own every decision.
Faster than a conventional rewrite with AI-assisted engineering
Data loss—record-level reconciliation on every migration
Of migrated code reviewed by a senior engineer
Lower maintenance cost targeted on a modern, supportable stack
Three Paths, One Honest Recommendation
Not every legacy system needs a rewrite. We assess first, then recommend the least disruptive path that actually solves your problem.
Refactor & Stabilize
Keep the stack, fix what hurts: upgrade frameworks, add tests, remove dead code, close security holes.
Re-platform
Move the application to a modern runtime and managed database with minimal code change.
Rebuild on a Modern Stack
A clean rebuild—React/Next.js, Node or Laravel, PostgreSQL—using the old system as the spec.
Data Migration & Reconciliation
Schema mapping, cleansing and record-by-record reconciliation so nothing goes missing.
Integrations Restored
Reconnect CRM, accounting, payments and field tools—often better than before.
Modern UX on Familiar Workflows
Your team keeps the workflows they know, on screens that finally work on a phone.
Signs It’s Time
to Re-engineer
Legacy software rarely fails all at once. It gets slower, riskier and more expensive to change—until one day it blocks the business.
Nobody Can Work On It
The original developer is gone, the stack is out of support and every hire says “I don’t do that.”
Every Change Breaks Something
No tests, tangled code and undocumented rules make even small updates a gamble.
It Doesn’t Talk to Anything
No APIs, so your CRM, accounting and field tools live in separate silos with manual re-entry.
It Can’t Scale or Go Mobile
Desktop-only screens, single-server limits and slow reports as data grows.
Security & Compliance Risk
Unsupported runtimes, plain-text passwords and no audit trail—an incident waiting to happen.
How We Re-engineer With AI, Safely
AI accelerates the parts that are slow and error-prone by hand. Senior engineers own architecture, decisions and every merge.
Legacy Assessment
AI-assisted analysis maps the codebase, data model, integrations and hidden business rules. You get a written report and a path recommendation.
Legacy Assessment
AI-assisted analysis maps the codebase, data model, integrations and hidden business rules. You get a written report and a path recommendation.
Safety Net First
We generate characterization tests around current behaviour so we can prove the new system does the same job—before changing anything.
Architecture & Migration Plan
Target stack, data migration strategy, integration contracts and a phased plan with rollback at every step.
Re-engineer in Slices
Module by module, AI drafts and engineers finish and review—running old and new side by side so the business never stops.
Migrate, Reconcile, Cut Over
Data moved and reconciled record by record; cutover scheduled in a low-traffic window with a tested rollback.
Retire the Old System
Decommission safely, hand over documentation and keep improving on a stack your team can hire for.
From Legacy to Modern
We Migrate From
Modern Front End
Modern Back End
Data
AI-Assisted Engineering
Cloud & Delivery
Why Re-engineer With TedIT
We combine AI-accelerated delivery with the domain understanding to know which business rules must survive the rewrite.
AI Reads the Old Code
Weeks of manual archaeology compressed into days—every rule and edge case surfaced before we build.
Tests Before Changes
We prove the new system matches the old one, so “it used to work” never becomes your problem.
Business Never Stops
Old and new run side by side; cutovers happen per module with rollback ready.
You Own a Hireable Stack
Documented, tested code on mainstream technology—no dependence on us or on one developer.
Who This Is For
Businesses Running on Old Custom Software
Home-services, construction, real estate and other operators whose core system was built 8–15 years ago.
Product Companies Stuck on a Dated Stack
SaaS products that can’t ship features, hire developers or pass a security review on the current codebase.
Companies Acquiring or Consolidating Systems
Teams inheriting legacy applications that need to be unified onto one modern platform.
Frequently Asked Questions
How is this different from cloud migration?
Cloud migration moves where your software runs. Re-engineering changes what it is built with—the code, framework, database and UX—so it can be maintained, integrated and scaled. Many clients do both; we can plan them together.