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Legacy & Digital Modernization

Digital transformation services without the big bang.

Growth, M&A or a new market is stalled because the stack can't keep up. Replacing it feels risky; keeping it costs more every quarter. We modernize incrementally — taking full ownership of analysis, architecture and execution — while your business stays live.

The engagement, in numbers

  1. 04 ~35% Target cut in maintenance drag
  2. 03 12–24 Months, phased — value at each step
  3. 02 2–3 wks To an assessment & migration plan
  4. 01 0 Failed deliveries in 20 years

Sound familiar?

The legacy system nobody wants to own

Everything routes through it

Every new feature, integration or product decision hits the same wall. The old system has become the bottleneck for the whole roadmap.

The workaround tax compounds

Maintenance, manual workarounds and key-person risk cost more every quarter — money that buys standstill, not progress.

Replacement feels too risky

A big-bang rewrite risks the business that runs on the system today. So it gets postponed — again — and the gap widens.

Certified & recognised
ISO 27001
Information security
GDPR
Compliant
Reviewed on
Clutch
5.0 · 6 verified reviews
DesignRush
DesignRush
Listed agency
TechBehemoths
TechBehemoths
Top company

In short: digital transformation services rebuild the systems and data foundation that growth, M&A or a new market is waiting on — without a big bang. We modernize in slices: strangle the legacy system module by module, migrate the data, keep old and new running side by side, and cut over only when the new path is proven.

How we do it

Nothing moves before it is understood

We onboard deep into the existing stack first, then migrate gradually — risk contained at every phase, value delivered at every step.

  1. Full-scope analysis

    We map the system, its data flows, dependencies and the business processes that run on it — before anything moves.

  2. Target architecture & phased plan

    A modern foundation and a migration sequence you can approve phase by phase — with success criteria per phase.

  3. Incremental migration

    Strangler-pattern delivery: new components take over piece by piece while the old system keeps serving the business.

  4. Tests & documentation as we go

    Automated tests and documentation are built into every phase — so what we hand over is maintainable, not a new legacy.

Engagement shape: time & materials, typically 12–24 months, phased — with an assessment and migration plan in the first 2–3 weeks so you can commit one phase at a time, not to a leap of faith.

Get a modernization plan that keeps the business running while it happens.

Or write to us
The 2026 angle

Modernize once — come out AI-ready

A modernized foundation is what makes AI possible: clean data flows, documented systems, testable services. We build that readiness in from the start — so the same investment that unblocks the roadmap also opens the door to agents and automation.

  • Clean, documented data flows — the raw material for AI
  • Services agents can safely act on, under governance
  • Delivered with agentic engineering — spec-first, governed
  • A natural on-ramp to AI Transformation

Proof

Modernization we've owned end to end

5 years · ERP & PIM

Eden Technology

Custom ERP, PIM and online shop — legacy modernization with security-first continuous delivery throughout, phase after phase.

Read the full case

15+ years · Full IT responsibility

Futurumshop

The leading Dutch cycling retailer — personalised webshop, mobile apps and loyalty program, continuously modernized while trading every day.

Read the full case

Manufacturing

Industrial clients

Legacy modernization, custom tooling, and AI for operations and quality — the same phased discipline applied on the factory side.

Read the full case

Capabilities

Modernization, data and integration capabilities

What we replatform, rebuild and rewire — and the data work that makes the result usable for AI later.

Modernization

5
  • Legacy modernization
  • Replatforming
  • Strangler-pattern migration
  • Monolith to services
  • Technical-debt reduction

Data engineering

5
  • Pipelines & ETL / ELT
  • Warehouses & lakes
  • Data quality
  • Master & product data
  • Migration

Analytics

4
  • Dashboards & BI
  • Operational reporting
  • Forecasting
  • Big data platforms

Integration

5
  • ERP
  • PIM
  • WMS / MES
  • CRM
  • APIs, events & queues

Cloud & platform

5
  • AWS / GCP / Azure
  • Kubernetes / Docker
  • CI-CD
  • Observability
  • Cost optimisation

Security & compliance

4
  • ISO 27001 processes
  • GDPR
  • Access control
  • Audit-ready delivery

When companies need us

Scope your modernization assessment.

Describe the system that is blocking you. We reply within one business day with the assessment scope and the first slice we would cut.

  • Growth, M&A or a new market blocked by the current stack
  • A platform nobody wants to touch — and nobody wants to own
  • Unsupported versions, rising hosting bills, security findings
  • Manual workarounds holding operations together
  • Data too fragmented to report on, let alone run AI on
  • An integration project that keeps slipping

ISO 27001 certified · GDPR compliant · 100+ engineers · 20+ years · zero failed deliveries

Start here

We reply within one business day.

No obligation · ISO 27001 · GDPR compliant

“We have been working with Bintime for more than 15 years. They are dedicated and will always help to find a solution for our wishes and problems.”

Gerco Vermeer · Development Manager, Futurumshop.nl

Questions

Digital transformation & legacy modernization — FAQ

What are digital transformation services?

Digital transformation services rebuild the systems, data and processes a business runs on so that growth, new channels or AI become possible. In practice that is replatforming, integration, data engineering and the change management around them.

What is legacy modernization?

Legacy modernization replaces or re-architects software that still runs the business but blocks it — unsupported platforms, monoliths, manual workarounds — without stopping operations.

How do you modernize without downtime or a big bang?

In slices. We strangle the legacy system module by module, run old and new side by side, migrate data incrementally, and cut over only when the new path is proven in production.

Do you offer data engineering and data analytics services?

Yes: pipelines, warehouses and lakes, data quality, master and product-data models, plus dashboards and operational reporting on top. High-volume, high-SKU data is where we have 20 years of history.

How long does a modernization programme take?

The first proven slice usually lands inside a quarter. Full programmes run 6–24 months depending on scope — but value is delivered continuously, not at the end.

What does it cost?

Modernization is scoped after a fixed-fee assessment: maturity scorecard, risk register and a 90-day roadmap. A standing team of three senior engineers starts around €161k/yr.

Does modernization make us AI-ready?

That is the point. Clean, modelled, well-integrated data is the precondition for AI agents and automation — most stalled AI pilots fail on data, not models.

Get an assessment and a phased plan

A 20-minute call, then a 2–3 week assessment: what you have, what it costs you, and a migration plan you can approve one phase at a time.

Book a 20-minute call

ISO 27001 certified · GDPR compliant · Zero failed deliveries in 20 years

Bintime · Modernization assessment

Scope your assessment.We’ll come back with a plan.

Tell us what kind of system is blocking you and roughly where it hurts — we reply within one business day with a scoped 2–3 week assessment proposal.

Step 1 — what kind of system?
Step 2 — where does it hurt most?
Step 3 — your details