The Ultimate Guide to Sheet Metal Quoting Software (2026)

I rank the seven quoting systems worth evaluating for a metal shop in 2026. The guide covers the five routes the market takes, from CAD plug-ins to cloud platforms you build on, and what AI changes in estimating. You also get the setup tips that decide whether the software pays off.

Airy blueprint illustration of sheet metal quoting software
Choosing quoting software | via FLUX.2 Pro

Do you want to respond quicker to quotation requests? Do you want to lower the administrative steps between estimating and quoting?

If so, you know that it is difficult, because sheet metal estimating determines your profitability. You cannot really cut corners there.

So, what do you do?

Many businesses solve it with automated quoting software. This guide gives you the seven systems worth your evaluation time in 2026, ranked by where I see them fit, the five routes the market falls into, what AI genuinely changes, and the setup tips that decide whether the software pays off.

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Disclaimer: based on my project experience and user interviews. I have done more than fifteen integration projects with QuotationFactory, including integrations I built myself. Features and availability change. Always do your own due diligence and consult vendors directly.

Why shops buy quoting software

Engineer at a desk viewing a wireframe 3D model of a folded sheet-metal part on a large monitor
An estimator reviews a 3D part model before calculating a quote, a daily scene in any sheet metal shop | via FLUX.2 Pro

In practice it is almost always the same three reasons. The founder is quoting late at night, because RFQs need deep understanding and land on the most senior desk. There is no consistency across projects, so the same customer gets a different price depending on who calculated it. And nobody has an overview of the margins until the year is over.

That middle one is the biggest risk in any quoting operation: different prices from different employees. It happens automatically the moment several people quote without one shared set of rules.

A good quoting system solves exactly those things: the data entry, the preparation work, the visibility, and the margins. It gives you a single source of truth for how you quote: one set of rates, rules, and methods for everyone. And the master data you build up while quoting flows forward, because a part that was calculated well arrives in production with its routing already thought through. Good quoting improves your manufacturing.


How automated quoting works

Two folded sheet-metal L-brackets connected by cobalt ribbons flowing into a fan of stacked pale quote panels on a white grid floor
Part files flow into the quoting engine and come out as a neat set of priced proposals, the basic loop automated quoting closes | via FLUX.2 Pro

Everything starts with a drawing or a model. The software imports the file, unfolds 3D parts, recognizes the features (bends, holes, contours), determines the working steps, and calculates times from machine data. You add materials, extra operations, set-up times, and margins, and out comes a quote in minutes instead of hours.

When you evaluate a system, check four things:

  • It integrates with your other systems, your ERP above all, or every won quote becomes retyping work.
  • Estimates rest on actual machine data, cutting tables and real cycle times, so the big projects come out right.
  • Extra work steps are configurable: post-processing, packaging, shipping. Otherwise you finish every quote somewhere else.
  • Bonus points for a customer-facing web shop, manufacturability checks, and wide file support (STEP, DXF, DWG).

The five routes quoting software takes

Silhouette figure at a fork where a single cobalt path splits into five parallel corridors leading to separate destination shapes on a bright grid floor
The quoting software market splits into five distinct categories, and knowing which fork fits your shop saves you from comparing tools that solve different problems | via FLUX.2 Pro

The market falls into five shapes, and knowing them saves you from comparing apples with pears:

  • CAD add-ons (SolidWorks Costing, Inventor with iLogic): quick price indications inside the tool your engineers already know. No nesting, so limited final accuracy.
  • CAM add-ons (TRUMPF TruTops Calculate, Lantek iQuoting, Hexagon RADAN Quoting, LVD CADMAN-SDI, MesserSoft OmniFab): estimates on the same machine tables that run production. Strongest on cutting, weakest once welding and assembly enter.
  • Dedicated on-premise packages (Costimator, PROfirst CALC): every operation, brand-agnostic, from an earlier software generation.
  • Cloud platforms: where the momentum is. The list below lives mostly here.
  • Your own build: real in 2026, with cautions I cover further down.

The 7 best quoting solutions for metalworking in 2026

#SystemTypeBest for
1QuotationFactoryCloud platform + portalHigh-mix, assemblies, agentic integration. From a few people to hundreds
2Paperless PartsCloud platformUS shops of any size, AI drawing intake
3SPICAD add-onSmall to midsize, building on SolidWorks or Inventor
4Oroox QuoteCloud platform + shopEuropean instant quoting with AI feedback
5Tempus Tools ToolBoxCloud platformLaser shops, CAD repair, web store
6CADDiDrawing data + AI quoteDrawing-heavy shops, agentic drawing recognition
7Stella SourceCloud estimatingEstimating with true-shape nesting (the former SecturaFAB)

1. QuotationFactory

Where I integrate most High-mix + assemblies CLI + agentic

QuotationFactory (formerly marketed as Rhodium24), from Eindhoven, is the platform I have done the most integration work with, and the one I see fit best when the work is high-mix with complex assemblies and many operations. It automates the flow from CAD upload through analysis to quote, helps organize the office workflows around it, and makes the best customer portals I have seen in this market.

What sets it apart for me is integration. It recently released CLI connectivity, which makes it a first-class citizen in an agentic workflow: I have built my own integrations on it, including connections to TRUMPF's laser cutting software and LVD, and agents that work with it directly. The platform is modern, tenant-separated, and works from a few people to hundreds. Their onboarding has become genuinely good.

๐Ÿ”— quotationfactory.com ยท ๐ŸŽฅ Customer showcases


2. Paperless Parts

US reference AI drawing intake Any size

Number two on my list, and I admire what they are doing. Paperless Parts is the North American reference for quoting and front-office collaboration, mostly in the US and branching out. Its Wingman assistant reads the drawing itself, bends, welds, threads, finishes, critical callouts, and flags the risk before you price it.

๐Ÿ”— paperlessparts.com ยท ๐ŸŽฅ Demo videos


3. SPI

German engineering Small to midsize Builds on your CAD

Number three takes the opposite route: SPI, from Germany, builds on top of the CAD software you already run. The SheetMetal Calculator adds rule-based, real-time costing inside both SolidWorks and Inventor, which makes it a natural fit for smaller and midsize shops where the engineers already live in CAD.

Decades of sheet metal specialization sit underneath it, and because it works from the native model, the calculation follows the geometry instead of a re-entered abstraction.

๐Ÿ”— spi.de ยท ๐Ÿ”— SheetMetal Calculator


4. Oroox Quote

Instant quoting AI feedback European

Oroox takes the AI angle furthest in Europe: instant manufacturability feedback from its AI engineering advisor while the customer is still uploading, wrapped in a commerce layer for direct ordering.

In the Netherlands it is represented by AESC, the same specialist behind the Calculate work-prep tool below, which makes local support part of the package.

๐Ÿ”— oroox.com ยท ๐Ÿ”— Oroox Quote


5. Tempus Tools ToolBox

Laser specialist CAD repair Web store

The laser shop specialist: 3D unfolding across dozens of formats, automatic CAD repair with its Drawing Doctor, PDF-to-CAD, and a customer web store, built by people from the laser world.

If cutting is your business, this is the focused option: the Drawing Doctor cleans customer files automatically, and the web store lets your customers order cut parts directly.

๐Ÿ”— tempustools.com ยท ๐Ÿ”— ToolBox


6. CADDi

Drawing intelligence Agentic recognition Similarity search

CADDi comes at quoting from the drawing side: its platform reads drawings with agentic recognition, extracts the operations and requirements, and finds similar parts you have made before, with their real costs. For shops drowning in customer drawings, that similarity search alone changes the estimating conversation.

The platform links drawings to orders and BOM data, so the knowledge in your drawing archive finally becomes searchable instead of tribal.

๐Ÿ”— caddi.com ยท ๐Ÿ”— Product overview


7. Stella Source

True-shape nesting Machine run times The former SecturaFAB

Stella Source is the new home of SecturaFAB: estimating built on true-shape nesting and machine run times, so material and cutting costs come out of geometry instead of guesswork.

There is an entry tier for trying it, and an Epicor Kinetic partnership covers the handoff into ERP for shops on that stack. Stella Source has since added an Intelligent Sales Assistant AI quoting module for AI-assisted quote generation.

๐Ÿ”— stellasource.com ยท ๐Ÿ”— SecturaFAB details


Notable mentions

AESC Calculate (Netherlands): prepares and calculates sheet, tube, and profile work from 2D and 3D drawings, and connects to CAM and ERP systems like MKG and Ridder iQ. It covers the ground the discontinued Yobman left behind.

DigiFabster: ships an AI quote agent that drafts a quote from a forwarded RFQ email, for your review.

WiCAM: the German CAM manufacturer has its quote platforms up as well, and its Offer2Order white-label web shop is something you can integrate with to build your own customer-facing store.

CADEXSOFT: the SDK route. For midsize manufacturers building their own quoting portal, its Manufacturing Toolkit delivers the CAD reading, feature recognition, and DFM checks, so you build the workflow instead of the geometry engine. I integrate with it in projects.


What AI changes in quoting, as of 2026

A drawing sheet on a bright grid floor with thin cobalt linework reading its edges, a ribbon of data rectangles flows from it toward a glowing node at the horizon
AI reading a drawing and extracting requirements automatically, which is what tools like Wingman and CADDi already do in production today | via FLUX.2 Pro

AI quotation as a finished product generally does not exist. What exists are strong ingredients, and add-ons and agents that orchestrate across these tools. You can drive a surprising amount of that orchestration with an AI coding agent like Claude Code.

  • RFQ ingestion is real. Systems now read the email and the messy PDF: Paperless Parts' Wingman and CADDi extract requirements from drawings, and DigiFabster drafts the quote for your review.
  • DFM feedback at quote time. Tools like Optimate analyze an uploaded part for feasibility and cost while the quote is being made, catching the impossible bend before it reaches the floor.
  • The portal became normal. Customer self-service upload with instant pricing used to be a marketplace exclusive. Now it is a standard feature of the cloud platforms.
๐Ÿ’ก
Keep the judgment: drawing extraction and draft quotes are shipped and useful. Fully hands-off pricing from a messy PDF is not there. Let AI prepare the quote, and keep the decision.

Or build your own

Vibe coding is arriving in quoting at a rapid pace: shops generate their own portals and calculators with AI tools on an open backend, and SDKs like CADEXSOFT's supply the hard geometry parts. It is a real route now, with two cautions. Think about data protection, because customer drawings are sensitive. And think about scalability: the value of a platform is that it is shared beyond one PC, so the whole company quotes from one source of truth instead of from personal spreadsheets.

The ownership logic from my open-source article applies: build where it gives you an edge, use proven engines for the rest.


Tips that decide whether it pays off

Small figure standing before a tall cobalt kiosk panel on a bright grid floor, a ribbon of quote slips arcing away to a row of machine silhouettes at the far edge
A customer portal that sends approved quotes straight to machines without retyping, which is the outcome these setup tips are aimed at | via FLUX.2 Pro

Determine your shop rates first. Hourly rates, batch effects, fixed administrative costs: the software calculates with whatever you feed it, so this homework decides the accuracy of everything after.

Let quoting double as work preparation. Set up routings and articles while estimating, and a won quote arrives in production with its work prep already done. This is one of the biggest hidden time savers, and it is how quoting builds the master data your factory runs on.

Open a web portal when your quoting is solid. Customers enter RFQs themselves, day and night, and your first contact moment becomes a working tool instead of a contact form. It feeds the pipeline too:

CRM for Metalworking: The Complete Guide (2026)
Where the RFQ comes from: the pre-sales pipeline that feeds your quoting stage.

And think one step further. A portal that generates orders which flow straight to your machines, without anyone retyping, is the smart factory in miniature. That flow runs on the data backbone:

Introduction to Unified Namespace (UNS)
The data backbone that turns a customer portal into a connected factory.

Questions I get about quoting software

Why do my employees quote different prices?

Because each carries their own rules in their head, and their own spreadsheet on their PC. It is the biggest risk in any quoting operation, and the core argument for a platform: one shared set of rates, rules, and methods, so the customer gets one price no matter who calculated it.

Can AI really quote from a customer PDF?

It can read it, extract the requirements, and draft the quote. The shipped tools are genuinely good at pulling bends, welds, and callouts off a drawing. Pricing without review is another matter: treat the AI as your fastest estimator, not your last one.

Is a customer portal worth it for a job shop?

Once your calculation is trustworthy, yes. It answers RFQs while you sleep and filters the tire-kickers who never send files. Start internal, prove the numbers for a month, then open the door.

Should I quote inside my ERP instead?

For simple, repeating work the ERP can carry it. Model-based quoting with nesting and machine times is a different job, and a dedicated tool in front of the ERP usually beats the built-in module. Connect them at order handoff.

Can I build my own quoting portal?

Yes, and shops do: AI coding tools handle the app, and SDKs like CADEXSOFT supply the geometry engine. Mind data protection and make it shared from day one, so it becomes the single source of truth instead of another personal tool. This is exactly the kind of build I help with.

How accurate do my machine times need to be?

Accurate enough that big projects do not surprise you. That is why estimates should rest on real cutting tables and cycle data rather than gut feel, and why the CAM-based and cloud routes both anchor on machine data.

The point is

Quoting is where your profitability is decided, and it is the process most shops still run on experience and late evenings. The systems above solve the real problems: the data entry, the preparation, the visibility, the margins, and above all one source of truth for how you quote. Pick the one that fits how you work, feed it real shop rates and machine data, and let it double as work preparation.

I wrote about this before:

Lesson 1: Pick one machine and learn how it talks
Before I connect anything, I pick one machine that costs real money when it sits idle. This lesson shows you how to find out how that machine talks, through OPC

And connecting the quoting flow to the rest of your factory, from portal to production, agentic workflows included, is exactly the work I do.

How long does a typical quote take you today, and where does the time go? Tell me, I read every reply.

I wrote about this before:

Lesson 2: Stand up a broker you control
Owning the broker is owning your data, and standing one up takes less time than most people expect. I walk through running Mosquitto on a small machine you cont
Luke van Enkhuizen

Luke van Enkhuizen

Ik help metaalbedrijven meer halen uit de machines en de data die ze al hebben. Tien jaar in de industrie, nu schrijf ik over digitale transformatie, de unified namespace en AI-agents die hun werk echt doen.