AI for Manufacturing
AI that keeps your lines running and your people focused.
Less downtime. Less paperwork.
We build production AI for manufacturers, from quality and maintenance knowledge tools to supplier document processing and quoting, built on the systems your plants already run.
Trusted by enterprise operators
Why manufacturing is different
On the plant floor, AI has to work every shift.
Manufacturers run on tight margins, aging systems, and know-how held by a retiring workforce. AI only earns a place if it fits your ERP and MES data and helps the people on the floor.
Where value is created
In maintenance, quality, quoting, and the documents that connect suppliers, plants, and customers.
How it gets measured
Downtime, scrap and rework, quote turnaround, and hours spent on paperwork.
What earns trust
Systems that work with your ERP and MES, respect safety procedures, and keep engineers in control.
From strategy to production
AI built for plants, not slide decks.
Start with one plant or workflow, or a company-wide AI program.
AI Strategy & Readiness
Find where AI pays back on the floor and in the back office.
- Plant and back-office AI assessment
- Use cases ranked by margin and uptime impact
- Data readiness across ERP, MES, and historians
- AI governance and security policies
- Training for engineers and supervisors
- Executive-ready AI roadmaps
Production AI Engineering
Engineers who build AI into the systems your plants already run.
- Maintenance and SOP knowledge assistants
- Quality and nonconformance report analysis
- Supplier document and certificate processing
- RFQ intake and quote drafting
- Demand and inventory forecasting support
- ERP and MES integrations
Measurable outcomes, not theories
Results measured in hours and uptime.
Client result · Document intelligence
10,000+
Documents processed monthly through an AI-powered intake system
PressW built an AI intake system that processes more than 10,000 documents a month, so teams review exceptions instead of keying data from every file.
More client outcomes
$1M+
Savings identified through an AI operations audit for a cloud infrastructure company
500
Estimated hours saved per day by a production document extraction engine
80%
Reduction in document processing time for a national insurance operation
200+
Custom workflows delivered
90+
Custom AI software deployments
$100M
Of client value created
Where manufacturing AI stalls
Most manufacturing AI projects stall in the same four places.
The fix: start with high-volume, document-heavy work and build on the data you already have.
Disconnected data
ERP, MES, quality, and maintenance data rarely live in one place.
Retiring expertise
Know-how leaves with senior technicians before anyone captures it.
Pilots stuck in one plant
A promising pilot never makes it to the next site.
OT security concerns
IT and OT teams block tools that touch plant networks without clear controls.
How it works
From first plant to company-wide AI in three steps.
Prove value at one site, then scale across plants.
- 01
Assess
Review plant and back-office workflows, data sources, and constraints, and pick the first use case.
Explore AI Transformation - 02
Build
Ship a production system connected to your systems and tested with the people who use it.
Explore AI Engineering - 03
Scale and manage
Roll out to more plants and keep systems monitored, secure, and improving.
Explore Managed AI
FAQ
Questions manufacturers ask us.
Don't see your question? Bring it to an intro call.
Put AI to work on the plant floor.
From strategy to production AI: one partner built for industrial operations.