Stable
ServicesModernize without the risk

Your legacy stack, replaced.
Piece by piece.

Stable systematically replaces brittle legacy systems using an incremental approach, so your team keeps operating while the new system takes over, module by module.

See how it works
0
Downtime during migration on modernized systems
3–6 mo
Typical migration timeline, first module in production
More maintainable: median codebase complexity reduction
100%
Data fidelity guaranteed: every record migrated, audited
Stable Migration Console · Core Entry System
Migration active · Phase 3 of 5

Migration progress

Customs EntryDONE ✓
Shipment TrackingDONE ✓
Billing & InvoicingIN PROGRESS
Document ManagementQUEUED
ReportingQUEUED
Overall progress40%
Data migration status
300,839 records total
Record typeMigrated / TotalProgressStatus
Entry records182,441 / 182,441
100%
Complete
Shipment records94,210 / 94,210
100%
Complete
Invoice records16,206 / 24,188
67%
Migrating…
Documents0 / pending
Pending
Records migrated
276,651
Parity checks passed
2,841
Data fidelity
100%

Live parity checks

PASSEntry #182441 — field match14:22:08
PASSInvoice total reconciled14:22:07
PASSDuty calculation match14:22:06
PASSShipment status sync14:22:05
PASSHTS code preserved14:22:04
FAILInv #16190 — retry #214:21:59
PASSInv #16190 — retry #3 OK14:22:01
PASSCarrier ref. match14:22:03
Checks today2,841
Pass rate99.96%
Auto-retried1
Blocking failures0
Strangler Fig PatternZero-Downtime MigrationData Fidelity GuaranteedRunning in ParallelModule by ModuleNo Big-Bang RiskStrangler Fig PatternZero-Downtime MigrationData Fidelity GuaranteedRunning in ParallelModule by ModuleNo Big-Bang Risk
How we do it

Six phases,
zero big-bang moments.

Every modernization project follows the same disciplined structure, so the system that goes live is proven before the old one is retired.

01: ASSESSMENT

Map what you have before we touch anything.

2 weeks with your team documenting every integration, data flow, and dependency. We find the hidden dependencies before they become migration blockers.

02: STRANGLER FIG

The new system wraps the old one.

New modules go live while the old system keeps running. Traffic migrates incrementally until the old system handles nothing and is retired cleanly.

03: DATA MIGRATION

Every record migrated, validated, and verified.

We build custom migration tooling for your data model, run parity checks between old and new systems, and sign off on data fidelity before the old system goes dark.

04: INTEGRATION REROUTING

Cut over one integration at a time.

EDI, APIs, manual feeds: each external integration is rerouted to the new system on its own schedule, tested in shadow mode, then cut over with a rollback plan.

05: ROLLBACK DESIGN

Every phase ships with a way back.

Each migration milestone has a documented rollback path. We don't declare success until the parity checks pass and the rollback has been tested.

06: HANDOVER

Your team runs it from day one.

Code in your repo, infra in your cloud account, architecture docs, runbooks, and a named engineer on-call for 30 days post-launch. No managed services, no lock-in.

How we work

From legacy system
to modern platform.

Every migration starts with understanding the real system. Not the documented one. We assess, wrap, migrate incrementally, and retire the old system only when the new one is proven.

01: ASSESS

We map the whole system before we touch it.

Two weeks of structured discovery: every integration documented, every data model mapped, every dependency surfaced. We deliver a migration blueprint and a risk register before anything is built.

02: WRAP

The new system runs in parallel first.

New modules are built alongside the old system. Shadow mode runs both, comparing outputs until the new system matches. No cutover until parity is proven.

03: MIGRATE

Module by module, integration by integration.

We migrate in ordered phases by risk and dependency. Each phase has entry criteria, acceptance tests, and a rollback plan. Your operations don't stop.

04: RETIRE

The old system goes dark when the new one is proven.

Final cutover only happens when parity checks pass and the team has run on the new system long enough to trust it. We stay on-call through the transition.

Recent work

Legacy systems replaced,
with receipts.

Metrics are from the completed migration. Not projections. Anonymized where requested.

Trade Compliance · Customs BrokerageCompleted Q4 '25
Legacy migration

Replaced a 12-year-old customs filing system in 4 months without stopping filings.

A US customs broker was running entry management on an Access database patched together over a decade. We rebuilt the system module by module (shipment tracking first, then entry processing, then billing), migrating 200K+ records with zero data loss and zero downtime during the 18-week project.

200K+
Records migrated with zero data loss
0
Hours of operational downtime during migration
Freight Forwarding · OperationsCompleted Q3 '25
System replacement

Replaced a spreadsheet-driven ops workflow for a regional freight forwarder.

Operations ran on a combination of Excel, Outlook folders, and a 2009-era TMS that couldn't be integrated with modern carriers. We rebuilt the core ops platform from scratch and migrated the team over six months, retiring all three legacy tools by project end.

6 mo
From kickoff to full legacy retirement
3
Legacy systems retired, replaced by one
Logistics · WMSOngoing · '25–'26
Data platform migration

Migrating a warehouse management system to a modern event-driven architecture.

An operator of 12 distribution centers was running on a WMS built in 2008 that couldn't communicate with modern ERPs or carrier APIs. We're replacing it incrementally, with the first three facilities live on the new system and the remaining nine in migration.

3
Facilities fully migrated, 9 in progress
99.97%
Data fidelity across all migrated records
Common questions

What teams ask us
before they start.

We use the strangler fig pattern: the new system runs alongside the old one, in shadow mode, until it's proven. Traffic migrates gradually. Operations never stop because the old system keeps running until we're confident the new system handles everything correctly.
That's the standard case. We don't rely on documentation. We instrument the running system, trace actual data flows, and reverse-engineer the data model from production data. The discovery phase exists specifically because documentation is always incomplete.
First module in production: typically 6–10 weeks. Full migration of a mid-size system: 4–8 months. We scope by module, not by the whole system at once, so you start seeing results in weeks, not months.
We build custom migration tooling for your specific data model, including transformation logic for data that doesn't map cleanly to the new schema. Parity checks run until every record is verified. We don't shut down the old system until data fidelity is confirmed.
Every migration phase ships with a documented rollback path and tested rollback scripts. We run parity checks comparing old and new system outputs on real data before any cutover. If checks don't pass, we don't cut over.

The system holding you back
can be replaced.

Tell us what you're running and what you've already tried. We'll come back with a migration assessment, a phased plan, and a fixed fee. Module by module, no big-bang risk.