Does Mavlon calculate should-cost like aPriori?

No, and deliberately so. Mavlon does not carry its own cost models and does not invent pricing logic. It structures what the RFQ contains and applies the pricing logic your shop already uses: your rates, your margins, your rules, your quote history. The price that comes out is your price, drafted faster, not a simulated benchmark.

Does Mavlon need 3D CAD models?

No. Mavlon works from the RFQ package as it arrives: 2D PDF drawings including scans, specification documents, and the surrounding correspondence. Most job-shop RFQs never include a usable 3D model, which is exactly why simulation-first tools are hard to apply to quote intake. aPriori's costing starts from the 3D CAD geometry per its public documentation.

Mavlon vs aPriori

aPriori tells you what it should cost. Mavlon drafts what you will quote.

Q: Is Mavlon an aPriori alternative?

It depends on which question you are asking. aPriori answers what a part should cost to manufacture: it simulates production from the 3D CAD model using its own physics-based cost models and configured digital factories. Mavlon answers what your shop will quote for an RFQ: it reads the unstructured package your customer actually sends, 2D PDF drawings, scans, spec sheets, email threads, structures every requirement, and drafts the quote from your existing pricing logic and history. If you are an OEM cost-engineering team doing design-to-cost or supplier negotiation, aPriori is built for you. If you are a custom manufacturer answering RFQs, that is what Mavlon does.

Q: Can aPriori and Mavlon coexist?

Yes, because they sit on opposite sides of the same negotiation. An OEM cost team can use aPriori to benchmark what a part should cost before talking to suppliers. A supplier can use Mavlon to read the incoming RFQ and draft its actual quote from its own logic. One simulates the benchmark; the other produces the response.

Two different questions. Most comparisons pretend they are the same one. This page does not.

By Atishay Jain, founder of Mavlon · Updated July 2026

Full disclosure: Mavlon is our product. This comparison is written by the Mavlon team from public documentation, and it says plainly where aPriori is the better choice. Spot an error? atishay@mavlon.co

A Tuesday in estimating

The RFQ does not arrive as a 3D model

It arrives as an email. Eleven attachments: 2D PDFs, two scanned prints, a spec sheet, a quantity table pasted into the thread.

8:40 AM

Your estimator opens the drawings one by one. Materials, tolerances, finishes, quantities, the note that changes everything on page two of the spec.

10:15 AM

A spreadsheet fills up by hand. Part numbers, dimensions, materials, quantities, copied out of PDFs into columns. Two requirements are ambiguous; an email goes back to the customer.

2:00 PM

Now the pricing: your rates, your history with parts like these, the margin rule your team actually uses. None of it lives in any simulation tool. It lives in your sheets and your senior estimator's head.

5:30 PM

One RFQ quoted. Four more in the inbox. The bottleneck was never the arithmetic. It was reading, structuring, and chasing the data.

Simulation tools start where your problem has already been solved:
clean, structured, modeled data.

What aPriori is

A should-cost simulation platform. Per its public documentation, it starts from the 3D CAD model, breaks the geometry into cost drivers, and simulates manufacturing in configured digital factories using its own library of physics-based process and cost models. OEM cost-engineering teams use it for design-to-cost and supplier negotiation. At that job, it is the established name.

What it is not

A tool for the supplier side of the inbox. A custom manufacturer answering RFQs usually has no 3D model, no cost-model team, and no need for a simulated benchmark. They have unstructured customer data and their own pricing logic that already wins work.

What Mavlon is

AI that reads the RFQ package as it actually arrives, drawings, scans, specs, emails, structures every requirement into a clean record, and drafts the quote from your existing pricing logic and quote history. Mavlon does not invent a price. It produces your price, faster, with the data work done.

What Mavlon automates

The estimating work that happens before any price

Reads the whole package

2D PDF drawings including scans, specification documents, email threads, quantity tables. Every requirement extracted and structured: materials, tolerances, finishes, quantities, standards, special notes.

Applies your logic, not ours

Your rates, your rules, your margins, your history of similar parts. Mavlon drafts the quote the way your best estimator would, because it is built on how your shop already prices, not on a generic cost model.

Feeds your CPQ clean

If you run Salesforce CPQ or similar, Mavlon delivers the structured, complete record your CPQ actually needs, instead of an estimator retyping PDFs into fields for an afternoon.

Two questions

Pick the question you are actually asking

aPriori answers

“What should this part cost to manufacture?”

Input: the 3D CAD model, production volume, a configured virtual factory.

Engine: aPriori's own process and cost models, 450+ per its public materials.

Buyer: OEM cost engineering, design-to-cost, procurement negotiating with suppliers.

Mavlon answers

“What will our shop quote for this RFQ?”

Input: the RFQ package as it arrives. 2D drawings, scans, specs, emails. No 3D model needed.

Engine: your own pricing logic, rates, and quote history, structured and applied by AI.

Buyer: custom manufacturers, fabricators, and job shops answering RFQs to win work.

These are opposite sides of the same negotiation. An OEM simulates what your part should cost before pushing you on price. Your answer to that conversation is a quote built on your real numbers, produced fast enough to answer every RFQ instead of triaging them.

Side by side

Different jobs, honestly compared

Criterion	aPriori	Mavlon
The starting point
Native input	3D CAD model plus production inputs	The RFQ as it arrives: 2D PDFs, scans, specs, email threads
Where the cost logic comes from	aPriori's process and cost model library, configured digital factories	Your existing pricing logic, rates, and quote history. Nothing invented
Question answered	What should this part cost to make?	What will we quote for this RFQ?
Who runs it
Primary user	OEM cost engineers, value engineering, procurement	Estimators at custom manufacturers and fabricators
Setup shape	Enterprise deployment: virtual production environments, routings, rates and overheads to configure	Learns from your past quotes and rules; runs per-RFQ in the browser
When there is no 3D model	Costing starts from CAD geometry per public docs	2D and scanned drawings are the native input
The output
Deliverable	Should-cost estimate, manufacturability insight, negotiation benchmark	Structured RFQ record plus a drafted quote in your logic
CPQ relationship	Enterprise integrations	Fills your existing CPQ with clean, complete records
Feasibility screening	Manufacturability analysis of the modeled part	Flags what your shop cannot or should not quote, before hours are spent

aPriori claims reflect aPriori Technologies' public documentation and materials as of mid 2026. Corrections: atishay@mavlon.co.

If you are choosing between these two tools, one of you is asking the wrong question. Simulation platforms are built for teams that design parts and negotiate with suppliers. If your day starts with an inbox of customer drawings and ends with quotes going out, your bottleneck is not a missing cost model. It is unstructured data standing between you and your own pricing logic.

Bring one real RFQ package. Watch it become a quote-ready record.

Drawings, specs, the messy email thread. We run it live and you see every requirement structured, in minutes.

Book a Demo

15 minutes · We run your hardest RFQ live

Frequently asked questions

Is Mavlon an aPriori alternative?

Only if you are asking the supplier-side question. aPriori simulates what a part should cost from 3D CAD using its own cost models; it is built for OEM cost engineering. Mavlon reads the unstructured RFQ package and drafts your quote from your own pricing logic. For a custom manufacturer answering RFQs, Mavlon does the job; aPriori was never aimed at it.

Does Mavlon calculate should-cost?

No, deliberately. Mavlon carries no cost models and invents no pricing logic. It structures what the RFQ contains and applies the logic your shop already prices with, so the number that comes out is your number, produced faster.

Do I need 3D models to use Mavlon?

No. The native input is the package your customer actually sends: 2D PDF drawings, scanned prints, spec documents, and the email thread around them. Most job-shop RFQs never include usable 3D data, which is exactly the gap simulation-first tools leave open.

Can aPriori and Mavlon coexist?

Naturally. They sit on opposite sides of the same table: an OEM uses aPriori to benchmark cost before negotiating; a supplier uses Mavlon to read the RFQ and produce its actual quote. One simulates the benchmark, the other drafts the response.