Do we need to replace our PLM system?

Usually not. Most of the pain comes from PLM being isolated from ERP, MES, and field data. We integrate and extend first, and only recommend replacement when the platform genuinely cannot support your product structure.

Can this work for software-defined products?

Yes. Increasingly the thread has to cover firmware and software versions alongside physical parts, and we model both in the same configuration record.

How quickly can an engagement start?

Discovery usually begins within one to two weeks of scope agreement, and a delivery team is typically mobilised within three to four weeks depending on the skills involved.

Can you work alongside our in-house team?

Yes — most of our engagements are blended. We work in your repositories, ceremonies, and tooling, and we plan for knowledge transfer from the start so capability stays with you.

How are engagements priced?

Fixed price for well-bounded projects, monthly capacity for dedicated pods, and outcome-linked SLAs for managed services. We are explicit about assumptions and what would change the number.

NeonAITech services — AI and data engineering, product engineering, cloud and DevOps, managed operations, security and quality

Digital Product Lifecycle Engineering

From concept and BOM to service history, in one connected thread.

Book Free Consultation All Services

50%

Faster engineering change cycle

1 source

Of truth across the BOM

Full

As-built to as-maintained traceability

Overview

What Digital Product Lifecycle Engineering means at NeonAITech

We build and integrate product lifecycle platforms that connect design, engineering, manufacturing, and field service. Digital-thread traceability, digital twins, and change management replace the spreadsheets and disconnected PLM add-ons that slow engineering change to a crawl.

Tools & Platforms

Teamcenter
Windchill
SAP
Azure IoT
REST APIs
React

We are not tied to a single vendor — the stack follows the problem, your existing estate, and your team’s skills.

What We Deliver

Digital Thread & Traceability

A single connected record from requirement to as-built and as-maintained, so every change is traceable across its life.

BOM & Change Management

Multi-level bills of materials with engineering change orders, impact analysis, and approval workflow that engineers will use.

PLM Integration & Digital Twin

PLM connected to ERP, MES, and IoT telemetry so design decisions reflect what the product actually does in the field.

Capabilities

Inside the Engagement

CAD, PLM, and ERP integration

Configuration and variant management

Compliance and regulatory documentation

Supplier collaboration portals

Sensor-fed digital twin models

How We Work

A delivery rhythm you can see into

Every Digital Product Lifecycle Engineering engagement runs the same four phases, with AI used wherever it removes effort rather than adds novelty.

01
Discover
We map the current state, agree the outcome, and size the work — so scope is a shared decision, not a surprise.
02
Design
Architecture, delivery plan, and success measures are set before build, with costed options where trade-offs exist.
03
Build
Short increments with working output you can review, steer, and stop — never a black box until go-live.
04
Operate
We measure against the agreed outcomes, hand over documentation, and stay on for support where you want it.

Engagement Models

Buy it the way that fits

Fixed-Scope Project

A defined outcome, timeline, and price. Best when requirements are clear and the deliverable is well bounded.

Dedicated Pod

A cross-functional team working to your backlog and priorities, scaling up or down with a month’s notice.

Managed Service

Ongoing ownership against agreed SLAs, with a share of capacity reserved for continuous improvement.