What outcomes should a buyer expect early?

Early pilots focus on audit readiness (evidence assembly and reviewability), traceability completeness, and demonstrating risk-based prioritisation of verification activities.

Digital thread + predictive QA

Predictive Quality Assurance for Metal Additive Manufacturing in Space, Aerospace & Defence

Q: Does this replace existing qualification or certification frameworks?

No. The platform complements existing qualification and certification approaches by improving traceability and evidence quality, and by providing risk-based signals to prioritise verification.

Q: What data do you typically connect?

Identifiers and records across parts, builds, lots, suppliers, materials (high level), and inspection outcomes to form a coherent, reviewable traceability record.

Q: Where are you based?

We are based at The Innovation Centre, Sci-Tech Daresbury (Liverpool City Region, UK).

Our digital platform provides end-to-end traceability and risk-based quality signals across your AM supply chain, supporting faster qualification decisions and stronger audit readiness.

Full traceability across parts, builds, lots, and suppliers
Predictive signals to prioritise inspection and reduce escapes
Designed to integrate with existing workflows and certification frameworks

View capability overview Discuss a use case

At a glance

What ThinkITTech is

ThinkITTech is a UK-based engineering team building a digital assurance platform for mission-critical metal additive manufacturing. We connect traceability evidence end-to-end and generate risk-based quality signals to support qualification decisions and audit readiness.

Public content is high level; detailed technical workflows and validation artefacts are shared under appropriate confidentiality agreements.

Who it’s for

Space systems and payload manufacturers
Aerospace Tier-1 / Tier-2 supply chains
Defence and dual-use programmes
Teams responsible for qualification, QA, and audit evidence

What we connect (examples)

Part / build / lot identifiers
Supplier and material declarations (high level)
Manufacturing and inspection records
Nonconformance and disposition evidence

What you get

Coherent, reviewable traceability records
Audit-ready evidence packs (structure + mapping)
Risk-based signals to prioritise verification
A phased pilot approach designed to scale

Definitions (plain English)

Digital thread: A connected record linking a part to its build, materials, suppliers, and inspection evidence so the full history is reviewable.
Predictive QA: Risk-based signals that help you focus verification effort where it matters most (without replacing existing qualification frameworks).
NDA-first pilot: A scoped engagement that starts with confidentiality, defines acceptance criteria up front, and expands only after fit and value are proven.

Quick facts

What we build: a digital assurance platform that links end-to-end traceability evidence and generates risk-based quality signals.
Where it fits: metal additive manufacturing workflows in space, aerospace and defence supply chains.
How we engage: NDA-first where required; a scoped pilot with clear acceptance criteria; progressive adoption from pilot → scale.
What we do not claim: we do not replace qualification/certification authorities or eliminate inspection—our aim is better prioritisation and more reviewable, audit-ready evidence.

How It Fits Into Existing Workflows

Designed to Integrate, Not Disrupt

Our platform fits into existing additive manufacturing and quality workflows. It complements current machines, processes, and qualification frameworks–enabling progressive adoption from focused pilots to scaled deployment.

Compatibility: Works alongside existing additive manufacturing machines and established quality processes.

Certification Support: Complements existing certification and qualification frameworks without replacing them.

Progressive Adoption: Enables phased integration, from targeted pilots to broader deployment as confidence grows.

NDA-first engagement

Technical details available under confidentiality.

Pilot-ready

Start small, prove value, then scale progressively.

Illustration of workflow integration and traceability for metal additive manufacturing

Team

Built on experience and accountability

We bring experience across additive manufacturing, digital systems and regulated engineering environments. Our focus is delivering evidence-led digital assurance that fits real operational constraints.

Request first briefing

Emanuele Zanchettin

Founder & CEO

Monica Soldera

Finance Director

Triparna Poddar

AI/ML Engineer

Marco Rapaccini

Solutions Architect, Sales Engineer

FAQ

Common questions

No. The platform is designed to complement existing qualification and certification approaches by improving traceability and evidence quality, and by providing risk-based signals to prioritise verification.

We connect identifiers and records across parts, builds, lots, suppliers, materials (high level), and inspection outcomes to form a coherent, reviewable traceability record.

We can begin with an NDA-first briefing, then agree a scoped pilot with clear acceptance criteria. Public information stays high level; detailed workflows and validation artefacts are shared under appropriate confidentiality.

Early pilots focus on making evidence easier to assemble and review (audit readiness), improving traceability completeness, and demonstrating risk-based prioritisation of verification activities.

We are based at The Innovation Centre, Sci‑Tech Daresbury (Liverpool City Region, UK).

Digital traceability and predictive quality assurance for mission-critical metal additive manufacturing supply chains

Get In Touch

The Innovation Centre, Sci-Tech Daresbury, Keckwick Lane, Daresbury, UK, WA4 4FS

VAT no GB342206243

Company no 12423413