What is AI estimating for manufacturing?

AI estimating uses AI to do the reading half of quoting: ingesting the RFQ package as it arrives, 2D drawings, scanned prints, spec documents, email threads, extracting and structuring every requirement, screening feasibility against the shop's capabilities, and drafting the quote from the shop's existing pricing logic and quote history. The estimator reviews and owns the number; the AI removes the hours of reading, retyping, and data-chasing in front of it.

Does AI estimating invent prices?

Not in Mavlon's design. Your rates, margins, rules, and history are the pricing logic; Mavlon structures the RFQ and applies that logic. Shops that want a physics-based should-cost benchmark computed from 3D CAD are describing a different tool category, simulation platforms like aPriori, which answer what a part should cost rather than what your shop will quote.

What does AI estimating do when data is missing from the RFQ?

It turns gaps into questions on day one. Ambiguous requirements are flagged rather than guessed, and missing information becomes a concrete list to send back to the customer immediately, instead of a discovery on day four that restarts the quote.

Is AI estimating proven in production?

Montanstahl, a Swiss special-steel manufacturer, deployed Mavlon across three plants to screen RFQ feasibility, with the engine graded at 85%+ accuracy by their own engineers. The full case study is public, with named metrics.

AI Estimating for Custom Manufacturing

Your pricing logic wins the work. The reading is what eats the week.

Mavlon reads the whole bid package, lists every requirement with the page it came from, and drafts the first quote in your own pricing logic. Your estimator checks it and decides the number.

By Atishay Jain, founder of Mavlon · Updated October 2026

The problem, precisely

Quoting is two jobs. Only one of them is pricing.

Ask an estimator where the day goes. It does not go to the arithmetic. It goes to reading: opening eleven attachments, finding the materials, sizes and quantities in the drawings, checking the specification against the note on page two, and finding out on day four that something is missing. The pricing is the part your team is good at, and it gets the minutes that are left.

Most quoting software automates the pricing and assumes the reading is done. Simulation tools want a 3D model. Geometry tools want clean CAD files. ERP and CPQ systems want structured records. The request you actually received is none of those things.

It reads the whole package

Drawings, the specification, addenda, quantity tables and the email thread, including scans. Every requirement is listed with the page it came from, so your estimator can check a line in seconds.

It shows what does not add up

Where the drawings and the specification disagree, both are shown with their pages. Where something is missing, it becomes a question for the customer on day one, and not a surprise on day four.

It drafts the quote in your logic

Your rates, your formulas and your past quotes price the draft. Mavlon brings no cost model of its own. Your estimator reviews the draft, changes what needs changing, and decides the price.

How it runs

From the customer's package to a quote your estimator can check

Once, at setup. You give us your pricing workbook, your rules, and some past bid packages with the quotes you sent.

For each new bid. You give it the package as it arrived: drawings, specification, addenda and the request. No 3D model and no data preparation.

It reads every drawing sheet and every page, works out what you are being asked to supply, and checks the documents against each other.

You get a priced draft, line by line. Each number links to the page it came from. Where the package can be read two ways, both are priced and your estimator picks.

Your estimator decides. The margin, the final number and whether to bid stay with your team. The corrections they make become the rules for the next quote.

Proof you can check

We ran it on a public bid package. You can download the same one.

Public package · Town of Cape Vincent, New York

The town posted its waterfront bid package on its website: 179 pages, with floating docks and a gangway. We ran it through the software and published what came back. We also publish where the software has been wrong.

179

Pages read

44 sec

Reading time

214

Statements, each cited

Places the documents disagree

See the scorecard and how we test it →

Video: AI Estimating Software Demo: A 179-Page Bid Package to a Draft Quote (4:07)

An earlier version of the same reading engine ran at Montanstahl, the Swiss maker of special steel profiles. It answered “can we make this?” on incoming requests across three plants, and their own engineers graded its answers above 85 percent. Read the case study →

Every estimating tool wants to own your pricing. We built the opposite. Your logic is the asset, and it already wins your work. What Mavlon takes on is the reading, the checking and the first draft that stand between a request and that logic.

Bring one package you have already priced. Compare what it finds with what your team found.

We read it together on a call. An NDA is signed before any document of yours moves.

Book a Demo

The fair test is a quote of your own. See how we test it.

Frequently asked questions

What is AI estimating?

It is AI doing the reading half of a quote. The software reads the customer's whole package, lists every requirement with the page it came from, shows where the documents disagree, and drafts the first quote from your own pricing logic. Your estimator reviews the draft and decides the price.

Does it invent the price?

No. Mavlon carries no cost model of its own. Your rates, your formulas and your past quotes are the logic, and Mavlon applies them. If you want a simulated should-cost figure from a 3D model, that is a different kind of tool. See our honest comparison with aPriori.

Does it decide the margin?

No. It drafts the quote and shows the work behind every line. The margin, the final number and the decision to bid stay with your estimator.

What happens when the request is missing information?

The gaps become questions for the customer on day one, written out as a list. A requirement that can be read two ways is shown both ways for your estimator, and nothing is quietly guessed.

What does it cost?

It is a yearly plan sized to the number of bids it works on, and it starts with a paid pilot on your own past quotes. There are no seat licences. Think of it less as software you install and more as a junior team member who does the first read on every bid. See the pricing page.

How do we find out whether it works on our quotes?

With a blind test on quotes you have already priced, scored against a pass bar that is agreed in writing before anything runs. The whole protocol is published.

We run a CPQ. Does this replace it?

No. A configurator prices what somebody selects from your catalogue. Mavlon works from the customer's documents, on the work nobody has a model for. The two sit side by side. See From RFQ Inbox to Clean CPQ Record.

Your pricing logic wins the work. The reading is what eats the week.

Quoting is two jobs. Only one of them is pricing.

From the customer's package to a quote your estimator can check

We ran it on a public bid package. You can download the same one.

What it looks like for your product

Bring one package you have already priced. Compare what it finds with what your team found.

Frequently asked questions

Keep reading

Field Notes