PRE-SEED | 2026

THE AI MANUFACTURING LAYER

Turning every CAD fileinto a [manufactured part]in minutes.

An AI-powered on-demand manufacturing service. Instant quoting, automated geometry analysis, US-based fulfillment. Built by operators, not theorists.

01 · The problem

Custom manufacturing still runs on email.

The buying experience has not changed in 20 years. Send a CAD file. Wait for a human. Get a PDF back days later. That is the entire industry.

3-5 daysto get a price back on a custom part. Engineers lose a sprint waiting.
60-80%of files need email back-and-forth on wall thickness, orientation, material.
100+vendors and middlemen between the buyer and the machine that prints the part.

02 · Our solution

We replaced the salesperson with software.

What it looks like for a buyer

01Upload a STEP or STL.
02Geometry parses. Cost drivers get analyzed. Material gets picked.
03A price lands in under 60 seconds.
04Production starts in Florida the same day.

No quote desk. No PDF. No back-and-forth on wall thickness or material.

Every check a human used to do happens in the software, on the geometry, at the moment the file arrives. The price is the price. The lead time is the lead time. The buyer ships their part.

03 · Why now

Three forces, all pulling at once.

Models can finally read CAD.

Geometry-aware models and frontier APIs make automated DFM and natural-language quoting commercially viable. The cost curve crossed in 2025.

US-made is back on the buy list.

Tariffs, IP risk, and supply chain shocks pushed procurement back to North America. Federal contracts increasingly require domestic origin.

Buyers want Xometry UX from a local operator.

On-demand 3D printing services hit $10.4B in 2026 and grow 16% a year. Buyers expect software-grade ordering with a US fulfillment promise.

04 · How it works

Upload, analyze, quote, print.

01
Upload
STEP, STL, OBJ, 3MF. Drag and drop or API. The buyer never opens an email.
02
Analyze
Geometry parses. Printability and cost drivers get analyzed. Material gets matched against the part.
03
Quote
Live price in under 60 seconds. Lead time committed at the same moment.
04
Print & ship
FDM and SLA in-house. 24-48 hour turnaround from Fort Lauderdale.

From CAD file to confirmed order in under two minutes. No quote desk. No PDF. No phone call.

05 · Market

A market doubling every five years.

TAM
$152B
Global 3D printing by 2035.
17.96% CAGR. Industrial AM across aerospace, automotive, healthcare, and consumer.
SAM
$10.4B
3D printing services, 2026.
On-demand additive manufacturing services globally. Growing 16.3% to $19B by 2030.
SOM
$4.2B
North America services, 2026.
~40% of global on-demand services revenue is US-based. Our home market with a fulfillment advantage.

Global 3D printing market size

USD billions · Precedence Research, 2026

06 · Traction

Three years in production. Real customers, real parts.

Revenue, order volume, and unit economics shared under NDA in the data room.

3+ yrsOperating in market
24-48hStandard turnaround
5-starVerified reviews
Day 1NDA-ready intake

Proof points

Executed enterprise NDA with a US precision-instruments manufacturer.
Print-ready B2B capabilities line card deployed for enterprise outreach.
Multi-material capability: PLA, PETG, ABS, ASA, Nylon, Carbon Fiber, PC.
Repeat customers across product design, marine, and aerospace verticals.

“Outstanding. They reproduced a part I broke at work, better than it was before. They literally saved my job.”

Charles M. · verified customer

07 · Business model

Three streams. One platform behind all of them.

01
Direct manufacturing
55-70% of revenue
Per-part revenue from prototypes, low-volume runs, and on-demand jobs. Quoted instantly through the AI engine.
Order size: $120 - $4,800.
02
Enterprise contracts
Recurring
Retainer-based supply agreements with engineering teams. Volume pricing, NDA frameworks, dedicated capacity.
Target ACV: $40k - $180k.
03
White-label platform
SaaS
The same AI quoting engine licensed to local print shops and distributors as a private-label storefront. Multi-tenant from day one.
Target ACV: $12k - $60k.

08 · Competition

The operator-led wedge.

	Speed	Instant Quote	US-Based	White-Label	Owner-Led
3D Services USA	24-48h	Yes	Yes	Yes	Yes
Xometry	1-7d	Yes	Network	No	No
Protolabs	1-3d	Yes	Yes	No	No
Hubs (Protolabs)	3-7d	Yes	Network	No	No
Local print shops	1-5d	No	Yes	No	Yes

Our wedge: Operator-led, SMB-friendly UX with a software stack. We sell what Xometry sells, with the responsiveness only an owner can deliver.

09 · Go-to-market

Software-grade UX. Manufacturing-grade fulfillment.

Most 3D printing companies sell a machine and a quote. We sell a platform, wired to a real US print floor.

01
Self-serve quoting catches the engineer holding the file.
Buyers land on a CAD-to-quote workflow. The price commits in under 60 seconds. High-intent search wins the moment of need.
02
Enterprise teams sign capability agreements, not POs.
NDA-ready intake, capabilities line cards, and retainer-based supply targeted at engineering teams in aerospace, marine, and contract manufacturing.
03
Local print shops resell the engine as their own.
Each white-label tenant becomes a fulfillment node and a recurring SaaS customer. The engine compounds with every tenant added.

10 · Technology

The AI manufacturing stack, end to end.

Geometry intelligence
Parsers for STEP, STL, OBJ, 3MF. Volume, surface area, and bounding-box analysis on every upload.
Printability analysis
Support volume, bed footprint, geometric complexity, and failure risk computed from the geometry and priced in real time, before the buyer ever pays.
Pricing engine
Multiplicative cost model on real geometry: material plus machine time, with footprint, complexity, material difficulty, risk, and margin.
Orchestration
FDM and SLA workflows wired end to end. Checkout, queue routing, fulfillment, label purchase, tracking. The whole loop.
Multi-tenant platform
White-label storefronts ready to spin up overnight. Each tenant gets its own pricing surface and fulfillment routing.

What compounds

Three things compound the longer we run.

A pricing model trained on real order data, not a public dataset.
A quoting engine hardened by three years of production orders — and the LLM layer for DFM feedback and natural-language quoting ships next, on top of it.
The white-label engine is already built. Every new tenant is software, not a rebuild.

11 · Team

Operator-founder. Already shipping.

Founder & CEO

Built the company from the print floor up.

FDM and SLA operations on day one. Customer-facing DFM on the phone. Multi-material workflows in production. Now building the LLM layer on top of a quoting engine that already turns CAD into a priced part in minutes. Hands across the full stack since launch.

AI-native software
Instant geometry parsing and ML-assisted pricing in production; LLM quoting and DFM copilot in active development.
Manufacturing operations
Hands-on with FDM and SLA fleets, multi-material runs, customer-facing DFM.
Platform thinking
Multi-tenant infrastructure designed from the first commit. White-label ready.
Owner-operator
One team running the print floor and the codebase. One throat to choke.

12 · Financials

Three-year revenue plan.

Revenue projection

USD thousands · by revenue stream

Year 1
$640K
Founder-led operations, self-serve quoting live, first enterprise pilot.
Year 2
$2.55M
Enterprise book grows to 3 contracts. First white-label tenant live.
Year 3
$6.8M
10+ enterprise accounts. Platform revenue compounding.

13 · The ask

$1.5Mpre-seed.

Eighteen months of runway to ship the LLM quoting layer and prove the platform thesis.

45%Engineering & productSenior engineers to ship the LLM quoting layer, DFM copilot, and white-label platform.
25%GrowthCustomer acquisition, enterprise outbound, demand for the platform.
20%OperationsPrinter fleet, materials inventory, fulfillment build-out, production lead.
10%Working capitalMaterials buffer, compliance, contingency.

18-month milestones

LLM quoting + DFM copilot live · $1.5M revenue run-rate · 3 enterprise contracts · First white-label tenant

THE VISION

Every manufactured partshould start with a [prompt],not a phone call.

We are building the AI infrastructure that will replace the manufacturing sales rep. The opportunity is to own the layer between every CAD file in the world and the factory that prints it.