Paperless Parts
The quoting platform for job shops, reading geometry and driving estimates.
- Purpose-built for machine shop quoting
- Geometry-aware estimating workflow
- Established with US job shops
All guides Industries
Quote faster. Break down less.
A factory's constraint is often not the machines but the office around them: RFQs quoted in days, orders retyped from PDFs, know-how in three veterans' heads, maintenance run on surprise. AI attacks each of those. This guide covers what works, the established platforms, and when custom wins.
- RFQsquoted in hours
- Ordersfrom PDF to ERP untouched
- Know-howcaptured, askable
- Downtimepredicted, not suffered
What AI does in manufacturing
Four fronts, all practical. Quoting: RFQs and drawings analysed, costs estimated from your history, quotes drafted while the enquiry is warm. Orders: customer POs read straight into the ERP. Knowledge: procedures, tolerances and tribal know-how made searchable for the next shift. Maintenance: machine data watched so failures announce themselves early. None of it replaces the craft; all of it protects the margin around the craft.
01
The RFQ arrives with drawings
Geometry and specs read, similar past jobs found, cost drivers surfaced for the estimator.
02
The quote goes out in hours
Drafted from your real cost history and margins, checked by a human, sent while competitors are still opening the file.
03
Won orders enter themselves
The PO becomes an ERP order without retyping, confirmations sent, exceptions flagged.
04
The floor runs on knowledge and warning
Operators ask the process assistant; maintenance sees anomalies before the breakdown does.
When this solution makes sense
A good fit if
- RFQs take days to quote and some never get answered
- Customer POs are retyped into the ERP by hand
- Critical process knowledge lives in a few heads near retirement
- Machine failures surprise you and eat delivery promises
- Quality documentation consumes engineer hours
Probably not yet if
- You run long contracts with no quoting competition
- No cost or machine data is captured anywhere yet
- The team has no capacity to review what AI drafts
- You expect AI to set strategy or price risk alone
What changes
Quote speed that wins work
Answering in hours instead of days moves the hit rate, especially on spot work.
An office that scales with orders
Order entry and confirmations flow without the retyping bottleneck.
Knowledge that survives retirement
The veteran's know-how becomes an assistant every shift can ask.
Fewer surprise stoppages
Anomalies flagged early turn breakdowns into scheduled maintenance.
What teams use it for
- RFQ analysis and quote drafting
- PO to ERP order entry
- Process knowledge assistants
- Predictive maintenance alerts
- Quality doc drafting
- Supplier document processing
The established platforms
These platforms lead the space. They are real, established businesses, and for many plants one of them is the right answer.
CloudNC
AI for CNC machining, from programming assistance toward quoting.
- Deep CNC-specific AI
- Cuts programming time on real parts
- Serious backing and momentum
Tulip
The frontline operations platform: apps, data and AI for the shop floor.
- No-code apps operators really use
- Connects machines, people and data
- Strong manufacturing pedigree
MaintainX
Maintenance and work order platform with AI, built for the floor.
- CMMS teams adopt without a fight
- AI on top of maintenance data
- Fast-growing, widely used
Off the shelf or custom?
When a platform is enough
Where your process matches the platforms, machine-shop quoting, floor apps, maintenance, buy: they carry domain depth no generalist matches. Adopt, connect your data, and harvest.
When custom wins
Custom wins around YOUR particulars: quoting logic for processes the platforms do not model, order entry against your ERP's quirks, knowledge assistants on your procedures in Spanish, and the glue between plant systems that were never meant to talk. Most factory AI we build is that connective layer.
Where Sabemos fits
Custom build
We build manufacturing AI around your plant: RFQ and quoting flows on your cost history, PO-to-ERP pipelines for your formats, process assistants speaking your procedures in Spanish and English, wired to the systems you already run.
Setup and onboarding
Platform-first? We implement against your processes, connect ERP and machines where needed, and stay until quoting time, order touch and downtime numbers move.
Frequently asked questions
Can AI really estimate our jobs?
It drafts from your history and flags its confidence; the estimator confirms and prices risk. On repeat-family work the drafts are strong; on novel work they are a head start, not an answer.
Our ERP is old and ours. Problem?
Veteran ERPs are normal here. If it exposes anything, files, database, screens, we wire to it. Replacing a working ERP is rarely the answer; feeding it properly usually is.
How does predictive maintenance start without sensors everywhere?
With the data you have: existing machine signals, maintenance logs, operator notes. Even modest data beats surprise; sensors can grow where the numbers justify.
Where is the fastest payback?
Quoting if you compete for work; order entry if the office retypes daily. Both show within a quarter, and both fund the deeper steps.