Do you replace existing qualification or certification frameworks?

No. The capability is designed to complement existing qualification and certification approaches by improving evidence quality, traceability completeness, and reviewability.

What is a typical pilot structure?

A typical engagement follows Discovery (objectives, constraints, data availability), a scoped Pilot with clear acceptance criteria, and then progressive Scale once fit and value are proven.

What do buyers receive from a pilot?

Buyers receive a traceability data map, an evidence record structure, pilot acceptance criteria, a high-level integration approach, and a roadmap to scale.

What kinds of inputs are mapped?

Identifiers and records across parts, builds, lots, suppliers, manufacturing activity, inspection outcomes, and nonconformance/disposition evidence (as available).

How do you handle sensitive programme information?

We operate NDA-first where required. Public materials remain high level; detailed workflows and validation artefacts are shared under appropriate confidentiality agreements.

Capability: Traceability & Predictive QA

Digital Traceability & Predictive Quality Assurance for Metal Additive Manufacturing

ThinkITTech supports mission-critical programmes by linking traceability evidence across the additive manufacturing supply chain and providing risk-based quality signals to support qualification decisions. Technical briefings and pilot details are available under NDA.

Request an NDA briefing

Space & Defence focus

Digital assurance without disrupting existing qualification frameworks

Our platform is designed for regulated, high-assurance environments where traceability, evidence quality and accountability are mandatory. We focus on metal additive manufacturing in space, aerospace and defence supply chains, supporting progressive adoption from focused pilots to scaled deployment.

End-to-end traceability

Material genealogy (high level)

Audit-ready evidence records

Predictive quality signals

Workflow integration

Progressive rollout approach

NDA-first pilots designed to scale

We start with a focused, low-disruption pilot that proves traceability and quality signalling in your workflow. Once value and fit are demonstrated, we expand scope progressively across parts, processes, suppliers and sites.

Discovery: objectives, constraints, data availability, qualification context

Pilot: scoped use case with clear acceptance criteria

Scale: progressive rollout aligned to governance and operational readiness

Request an NDA briefing

What you receive

Traceability data map

Evidence record structure

Integration approach (high level)

Pilot acceptance criteria

Risk/quality reporting concept

Roadmap to scale

What this does not replace

It does not replace your certification or qualification authority.
It does not remove the need for inspection; it helps prioritise and evidence it.
It does not require changing your existing qualification framework to start.

How it works (high level)

Inputs → traceability record → quality signals

We focus on connecting the evidence you already have (often fragmented across teams and systems) into a coherent record, then producing risk-based signals that help you prioritise verification and reduce late discovery of issues.

Typical inputs we map (examples)

Part, build, and lot identifiers (linking keys)
Supplier records and declarations (high level)
Material/powder batch references and handling steps (as available)
Manufacturing records and inspection outcomes
Nonconformance and disposition evidence

Outputs buyers use

Reviewable traceability records (part/build/lot/supplier)
Audit-ready evidence pack structure and mapping
Risk-based quality signals to prioritise inspection and verification
Clear pilot acceptance criteria and a roadmap to scale

Pilot scope examples (non-sensitive)

Typical starting points include a single part family, one supplier chain segment, or one inspection bottleneck—enough scope to prove value, validate integration constraints, and agree evidence standards before scaling.