CHOOSE YOUR Workflow
FOR HEAD OF SPARE PARTS · OBSOLESCENCE MANAGERS · AM HUB LEADS

OEM gone. Forty-week lead time. Make the part anyway.

Obsolete spares. Lost CAD. Last Call Orders. A photo of a cracked bracket on the shop floor. We turn whatever you have into a manufacturable model in minutes, route it to make-or-buy in days, and archive it in your Digital Warehouse the same on-demand model Europe's largest rail operators are betting €100M+ in savings on by 2030. So the next failure is a 30-second reorder, not another crisis.

Trusted by

"Train delays often come down to one simple issue: a missing spare part."

Alstom × 3D Spark · 90-second partnership story

2M+ Reach on LinkedIn
Play Icon - Elements Webflow Library - BRIX Templates
- Pick your entry point

What do you have to work with?

Most obsolete-part workflows start with a photo or an old drawing. Three free conversions either way — pick the input you actually have.

Photo

I only have a photo

jpg · png · phone snap

Photo of an obsolete part - even when the OEM is gone, the drawing is lost, and the supply chain is dead. We turn it into a manufacturable model.

Free conversion for first 3 photos

Drawing

I have an old drawing

.pdf · scans: jpg, png

The 1992 service manual still has dimensions. We reconstruct the 3D from the views — even from yellowed PDFs and faxed copies.

Free conversions for first 3 drawings

CAD

I have original CAD

.step · .stl · .obj· .3mf

Best case for spares: you still have the OEM CAD. Drop it in for instant feasibility, route options, and a digital twin for the warehouse.

Free analysis for first 3 CAD files

ERP PLM

I have ERP/PLM data

.xlsx, .csv, txt, flowtext

Stream your full spares catalog. Identify long-tail parts at obsolescence risk and pre-build the digital twin library before the next failure hits.

Free conversions for first 3 part datasets
— The full workflow

From input to part-in-hand.

Four stages. One platform. Zero handoffs between CAD, costing, sourcing, and procurement.

01

Input

Whatever you have

CAD, scanned drawings, phone photos, or structured part data piped in from your ERP / PLM. No conversion step on your side.

.STEP
.STL
.PDF
.DWG
.JPG
.ERP

02

3D Generation

AI reconstructs the model

Reads views, dimensions, and context. Generates a clean, dimensioned 3D mesh ready for analysis.

2D to 3D
Photo to 3D
ERP to 3D

03

Insights

The simulation engine

18 manufacturing technologies, simulated deterministically. Process-based costing, geometric manufacturability, lead time, CO₂ — engineered, not estimated.

18 Tech
Deterministic
Process-based
Repeatable
See how it works

04

Execute

Make or buy — both fully wired

Make: MES integration, G-code, digital warehouses. Buy: connected supplier network, RFQ, direct ordering. Part lands on your dock.

MES
G-code
Digital warehouse
Supplier network
RFQ
—The 3D SPark Engine

Where the magic happens —
only it isn't magic.

Eighteen manufacturing technologies, simulated deterministically. Process-based costing. Geometric manufacturability. Lead time from actual cycle math. CO₂ from real material flows. Engineering knowledge poured into software - and it gives the same answer every single time.

Technologies covered

Built by Ex-Fraunhofer Additive-manufacturing Researchers

— Process-based

Costing that actually matches reality

No regression on quote history. Every step is simulated at process resolution — material, setup, run time, finishing, overhead. Assess one piece or 1000 with the same engine.

±5% Costing accuracy validated by Deutsche Bahn

— Geometric

Manufacturability, a verdict your engineers can defend

Manufacturablity is assessed by running your 3D geometry against the real capability envelope of each process - wall thickness, overhangs, wundercuts, tolerance class, surface finish. Simulation-based output. If it flags a problem, there is one.

— Cycle-math

Lead time you can defend

Built from machine cycle times, post-processing, queue depth, and logistics. Updated as supplier capacity shifts. Predicted ranges hold up against measured deliveries.

— Cradle-to-gate

CO₂ procurement can sign off on

Material origin to delivered part. Aligned with ISO 14067 and CSRD reporting needs. Real numbers — not badges, not vibes — comparing processes and routes side-by-side.

Approved by Deutsche Bahn
Book a Demo

Four KPIs. One decision.

Every part returns the same standardized scorecard — feasibility, cost, lead time, CO₂, and a make-or-buy call. Even when the only input you had was a phone photo.

Avg. analysis time: < 90 seconds

01

Feasibility

02

Estimated Cost

03

Lead Time

04

CO₂E per Part

Then Decide - Make or Buy

— Benefit for spare parts & lifecycle teams

Stop paying twice.

Long-tail spare parts charge you twice — bound capital tied up in inventory that may never move, plus downtime when the right part isn't there. Unit price is the wrong number to optimize — TCO is. A part 3–5× more per piece is the right buy when it avoids 10× in downtime and obsolete stock. We compress 40,000-part backlogs and 18-month manual analyses into portfolio sweeps, then archive each digital twin so the second failure is a 30-second reorder.
FROM FIREFIGHTING TO INSURANCE

Portfolio Screening: get ahead of the next crisis.

10k+ PARTS SCREENED
IN A SINGLE SWEEP
REACTIVE · TODAY

The part fails. Then you scramble.

OEM discontinued. Last Call Order missed. No CAD. 40-week lead times. Punitive MOQs forcing overstock on parts you may never use. Every reactive sourcing cycle costs more than the last, in time, downtime, and premium freight.

PROACTIVE · PORTFOLIO SCREENING

Screen now. Act before the failure hits.

Run your full spare-parts catalog through the engine. Parts at obsolescence risk and upcoming Last Call Orders are flagged. Alternative manufacturing and sourcing routes are ready. Digital twins are archived. The next crisis does not happen.

01 · INGEST

Upload an entire BOM. Every part enters the pipeline - CAD, drawing, photo, or record only.

02 · SCORE

Each part is scored for obsolescence risk, fast on-demand manufacturing suitability, cost, and lead-time saving potential across 18 manufacturing technologies.

03 · PRIORITIZE

A ranked shortlist of parts to act on now, before a failure forces your hand. Sorted by risk, savings potential, and criticality.

04 · ARCHIVE

Digital twins stored in your Digital Warehouse. When a flagged part eventually fails, the route is already solved. Reorder in 30 seconds.

START HERE · CONSULTING SPRINT

Send us your parts list. We do the rest.

No IT involvement. No software setup. No training. Just share a catalog, even 1,000 parts is enough to start, and our engineers run the full screening, interpret the results, and hand you a prioritized action plan with savings estimates ready to present to leadership.

TYPICAL TURNAROUND: 2-3 WEEKS →
SCALE IT · PLATFORM LICENSE

Run screening yourself, repeatedly, at scale.

Once the consulting sprint has proven the value, teams that want to run screening continuously across new procurement cycles, fleet updates, or growing catalogs can bring it in-house. Full autonomy, your timeline, thousands of parts on demand.

~33% of parts AM-suitable · ~25% Rapid Casting-suitable · 6 -digit annual savings identified

Read the rail case study →
— After the decision

Then ship it. Either way.

When the platform says make, we push the job downstream to your shop floor. When it says buy, we route the order across our connected supplier network. Both end with the part on your dock.

MAKE

Build it in-house.

Job specs flow straight from the platform to the machines and warehouses you already run. No re-keying, no PDF email chains.

MES integration

API · PUSH

Push qualified jobs into your shop-floor system.
Status, scheduling, and traceability sync both ways.

Digital warehouse forwarding

ON-DEMAND

Send the digital twin to your on-demand inventory partner.
Reprint anywhere, any time, zero physical stock.

Connects with leading MES providers, AM machine platforms,
and digital warehouse networks.

OR
BUY

Source it from the network.

Skip the supplier hunt. Qualified manufacturing partners are pre-onboarded, scored, and quoted from the same screen that ran your analysis.

Connected supplier network

QUALIFIED

Vetted manufacturing partners across additive, CNC, casting, sheet metal. Filtered by capability, certification, geography.

Smart RFQ

ONE-CLICK

Send a structured request to the right suppliers in one click.
Receive comparable quotes you can rank side-by-side.

Connected to a vetted supplier network across additive, CNC,
casting, and sheet-metal partners.

54 -> 2

Casting lead time
delta (weeks → weeks)

10M+ €

Bound capital
released from dead stock

30s

To reorder
archived parts
Stop paying twice.
Start with three parts.

Photo, drawing, CAD, or ERP record — bring any three obsolete parts. We'll turn them into manufacturable models, route them to make-or-buy, and archive the digital twins. The next failure won't be a crisis. The capital won't be frozen.

Book a DemoAnalyse 3 parts free
● Industry-certified routes ● ISO/IEC 27001 ● No credit card

Break down the cost.
Bring down the price.

Upload your CNC part - Get the true should-cost structure

Trusted by

This is what it should cost.

Every CNC-machined part, broken down from raw material to market price. Upload a drawing or CAD of your part and get instant should costing.

CNC machined aluminium component
Part identification
Aluminium Support Bracket
CNC Milling
Manufacturing process
CNC machined
58.17 min
Material
Aluminium
100 pcs reference lot
Dimensions
140 × 136 × 102 mm
Estimated manufacturing cost
€116.00 / unit
Reference lot 100 pcs Manufacturing cost and market-price calculation based on a fixed 100-piece lot
Cost breakdown · Reference lot 100 pcs

From raw material to market price

€160
€110
€60
€0
+€37
Raw
material
+€0.91
Setup &
tooling
+€70.74
Machining
+€4
Post
processing
+€3
Overhead
€115.65
Manufacturing
cost
+€30
Admin &
sales
+€15
Expected
margin
+€0.98
Programming
€161.63
Market
price
Raw-material share
32% of manufacturing cost
Largest cost block
Machining · €70.74
Market vs. manufacturing cost
+39%
Programming cost
€98.30 one-time
Automated cost analysis

See exactly where manufacturing cost comes from

32%

Material

Raw material is calculated from part geometry, stock size and selected material.

61%

Machining

Machine time, tooling and process parameters expose the main production cost drivers.

7%

Additional cost

Setup, post-processing, programming and overhead complete the calculation.

Process simulation

Every machining step is calculated individually

18.2

Rough milling

Material removal and machine parameters determine roughing time.

27.4

Finish milling

Surface requirements determine finishing passes and machining effort.

12.6

Drilling & features

Holes and secondary features are included in the simulated sequence.

Manufacturing cost vs. market price

Know the negotiation potential before requesting quotes

€115.65

Manufacturing cost

Calculated from material, machine time, setup, tooling and process parameters.

€161.63

Estimated market price

Commercial factors such as administration and margin create a sourcing benchmark.

39%

Cost transparency

See the gap between manufacturing cost and estimated supplier pricing.

· Get the full bottom-up should-cost structure.

Now you can act on it.

One number, three ways to turn it into savings.

Your number

Should-cost

per CNC-machined part

Challenge your supplier

Negotiate from a real cost breakdown, line by line, not from percentage assumptions.

Benchmark supplier prices

See which parts are overpriced and where a more competitive offer should be possible.

Compare sourcing regions

Compare parts and regions to understand whether Asia, Europe or nearshoring actually pays off.

What is it worth

The same part, before and after the cost teardown.

SUPPLIER QUOTE
€200
per part, lot size 100
SHOULD-COST
€160
process-based, incl. programming
PRICE PAID
€170
after the teardown
15%
lower price on the same part
Book a Demo

Without the 3D Spark breakdown,
you keep paying more for your machined parts.

Three ways to work with us?

Same analysis, different scale.

Sprint
Licence
Scope
10 parts
Unlimited
Run by your team
You get
Should-cost breakdown and saving potential
Should-cost breakdown and saving potential
Expected
savings
> €5,000
> 5%
of your CNC part buying volume
Best for
A defensible number on acute parts, fast
Running should-costing continuously in-house
Sprint
Scope
10 parts
You get
Should-cost breakdown and saving potential
Expected savings
> €5,000
Best for
A defensible number on acute parts, fast
Licence
Scope
Unlimited Run by your team
You get
Should-cost breakdown and saving potential
Expected savings
> 5% of your CNC part buying volume
Best for
Running should-costing continuously in-house
Ready to screen your portfolio?
Book a DemoGet a quote
For heads of additive manufacturing · AM hub leads ·

Turn scattered AM requests into a repeatable workflow.

Engineers ask if a part can be printed. Procurement asks if AM is cheaper. Production asks if it should be made in-house or bought. 3D Spark gives every team the same answer: feasibility, cost, lead time, CO₂, and the next best route.

Trusted by

— What's in your sourcing portfolio?

What can you push in?

Most procurement portfolios start with CAD or a BOM export. Three free should-cost analyses — push whichever format your systems hold.

01 - CAD

I have CAD files

.step · .stl · .obj· .3mf

Drop the geometry in. Get AM feasibility, orientation logic, build fit, cost, lead time, CO₂, and a make-or-buy route.

Free analysis for first 3  files

02 / Drawing

I have drawing

.pdf · scans: jpg, png

Use dimensions, tolerances, material notes, and manufacturing context to reconstruct the part and run the AM decision engine.

Free analysis for first 3  files

03 / Photo

I have a photo

jpg · png · phone snap

Let engineers and sites submit AM ideas in a structured flow, then qualify them before your AM experts spend time.

Free analysis for first 3  files

04 / ERP PLM

I have a full BOM

.xlsx, .csv, txt, flowtext

Screen catalogs and BOMs to find AM-suitable parts, cost-saving candidates, and digital warehouse opportunities.

Free analysis for first 3  files
— The AM workflow

From request to production route.

Four stages. One platform. Zero handoffs between AM intake, manufacturability, costing, sourcing, and production.

01

Capture

Every AM idea enters one pipeline

CAD, drawings, photos, forms, BOMs, or ERP data. Your teams stop sending scattered requests and start feeding one structured workflow.

CAD
Drawing
Request form
ERP/PLM

02

Qualify

The engine checks if AM makes sense

3D Spark checks geometry, wall thickness, build volume, orientation, material fit, machine fit, post-processing, and risk.

Printability
Material Fit
Material Fit
Risk flags

03

Benchmark

AM against every serious alternative

Compare AM with CNC, casting, molding, internal production, external AM suppliers, and current procurement prices.

18 Tech
Cost
Lead-time
CO2
See how it works

04

Execute

Make or buy, both fully wired

Make: push qualified jobs to AM production and MES. Buy: send Smart RFQs to qualified suppliers and compare quotes side by side.

MES
G-code
Digital warehouse
Supplier network
RFQ
—The 3D SPark Engine

Where the magic happens —
only it isn't magic.

Eighteen manufacturing technologies, simulated deterministically. Process-based costing. Geometric manufacturability. Lead time from actual cycle math. CO₂ from real material flows. Engineering knowledge poured into software - and it gives the same answer every single time.

Technologies covered

Built by Ex-Fraunhofer Additive-manufacturing Researchers

— Process-based

Costing that actually matches reality

No regression on quote history. Every step is simulated at process resolution — material, setup, run time, finishing, overhead. Quote one piece or 100k units with the same engine.

±5% Costing accuracy validated by Deutsche Bahn

— Geometric

Manufacturability, a verdict your engineers can defend

Manufacturablity is assessed by running your 3D geometry against the real capability envelope of each process - wall thickness, overhangs, wundercuts, tolerance class, surface finish. Simulation-based output. If it flags a problem, there is one.

— Cycle-math

Lead time you can defend

Built from machine cycle times, post-processing, queue depth, and logistics. Updated as supplier capacity shifts. Predicted ranges hold up against measured deliveries.

— Cradle-to-gate

CO₂ procurement can sign off on

Material origin to delivered part. Aligned with ISO 14067 and CSRD reporting needs. Real numbers — not badges, not vibes — comparing processes and routes side-by-side.

Approved by Deutsche Bahn
Book a Demo

Four KPIs. One decision.

You don't need three decimal places. You need a number close enough to reality to walk into a supplier meeting and hold your ground — generated in seconds, not weeks of spreadsheet modeling. Same four numbers on every part, comparable across processes, suppliers, and quantity tiers.

Avg. analysis time: < 90 seconds

01

Feasibility

02

Estimated Cost

03

Lead Time

04

CO₂E per Part

Informed Decision - Make or Buy

— Benefit for AMK teams

Stop running AM as a specialist-only service desk.

Long-tail spare parts charge you twice — bound capital tied up in inventory that may never move, plus downtime when the right part isn't there. Unit price is the wrong number to optimize — TCO is. A part 3–5× more per piece is the right buy when it avoids 10× in downtime and obsolete stock. We compress 40,000-part backlogs and 18-month manual analyses into portfolio sweeps, then archive each digital twin so the second failure is a 30-second reorder.
FROM EXPERT BOTTLENECK TO AM OPERATING MODEL

Let every team request AM. Let the platform qualify what deserves expert time.

AM leaders need adoption without chaos. 3D Spark gives engineering, procurement, production, and sustainability a shared workflow so AM opportunities are captured, scored, prioritized, and routed with the same logic every time.

REACTIVE TODAY

Every request waits for expert review.

Engineers send files manually. Buyers ask for quick opinions. AM experts repeat the same feasibility and cost checks again and again.

PROACTIVE WORKFLOW

Every request gets an instant first verdict.

Parts are scored for AM fit, cost, lead time, CO₂, and make-or-buy potential before specialist time is spent.

10k+

PARTS SCREENED IN A SINGLE
SWEEP

±5%

COSTING ACCURACY VALIDATED
BY DB

50%

REQUEST TO PRODUCTION TIME
REDUCTION AT ZF

~33% of parts AM-suitable · ~25% Rapid Casting-suitable · 6 -digit annual savings identified

Read the rail case study →
— Start here, scale it later

Prove theAM workflow before rolling it out.

Enterprise AM buyers need proof before platform rollout. Start with a focused screening sprint, then scale the same logic into recurring self-service workflows.

Long-tail spare parts charge you twice — bound capital tied up in inventory that may never move, plus downtime when the right part isn't there. Unit price is the wrong number to optimize — TCO is. A part 3–5× more per piece is the right buy when it avoids 10× in downtime and obsolete stock. We compress 40,000-part backlogs and 18-month manual analyses into portfolio sweeps, then archive each digital twin so the second failure is a 30-second reorder.
START HERE · AM WORKFLOW SPRINT

Send us your AM candidates. We do the first analysis.

No IT involvement. No long setup. Share a focused part list, CAD folder, drawings, or request backlog. 3D Spark screens the parts, interprets the results, and hands you a prioritized action plan.

Typical turnaround: 2 to 3 weeks
SCALE IT · PLATFORM LICENSE

Run AM qualification yourself, repeatedly, at scale.

Once the workflow has proven value, bring it in-house for continuous part request handling, portfolio screening, make-or-buy decisions, supplier RFQs, and leadership reporting.

Best for AM hubs, CoEs, and multi-site manufacturers
— After the decision

Then ship it. Either way.

When the platform says make, we push the job downstream to your shop floor. When it says buy, we route the order across our connected supplier network. Both end with the part on your dock.

MAKE

Build it in-house.

Job specs flow straight from the platform to the machines and warehouses you already run. No re-keying, no PDF email chains.

MES integration

API · PUSH

Push qualified jobs into your shop-floor system.
Status, scheduling, and traceability sync both ways.

Digital warehouse forwarding

ON-DEMAND

Send the digital twin to your on-demand inventory partner.
Reprint anywhere, any time, zero physical stock.

Connects with leading MES providers, AM machine platforms,
and digital warehouse networks.

OR
BUY

Source it from the network.

Skip the supplier hunt. Qualified manufacturing partners are pre-onboarded, scored, and quoted from the same screen that ran your analysis.

Connected supplier network

QUALIFIED

Vetted manufacturing partners across additive, CNC, casting, sheet metal. Filtered by capability, certification, geography.

Smart RFQ

ONE-CLICK

Send a structured request to the right suppliers in one click.
Receive comparable quotes you can rank side-by-side.

Connected to a vetted supplier network across additive, CNC,
casting, and sheet-metal partners.

520%

Cost savings
identified per portfolio

€50k+

Typical first-sprint
savings outcome

±5%

Costing accuracy
validated by DB
Turn AM from scattered requests into a repeatable enterprise workflow.

Bring three AM candidates, a request backlog, or a focused part portfolio. 3D Spark will show which parts can move forward, which route makes sense, and where the business case is strongest.

Book a DemoBenchmark 3 parts free
● Pay only on 3× ROI● 100% credited to license● €50k+ typical outcome