01
$2M spent on a predictive maintenance platform that monitors three machines because nobody budgeted for sensor retrofit on the other forty
AI Services / Execute
Manufacturing AI only works when it solves the right problem, in a way your operation can adopt.
01 / Close to the work
You do not need more technology. You need the right technology, in the right place, solving the right problem. Here is an honest look at where manufacturing AI stands.
The status quo
Scenarios we see too often.
02
A digital twin initiative that produced a beautiful 3D model and zero operational insights because it was not connected to live data
03
An AI pilot that worked in the lab and fell apart in production because factory floor data quality is nothing like cleaned-up training sets
04
A vendor-selected platform that does 80% of what was promised but cannot handle the 20% that actually matters
03 / People and process
The mid-market gap
Too serious for hype. Too close to the work for generic consulting.
- Too big to ignore AI, competitors investing, customers demanding digital, boards want strategy
- Too small for big consulting firms, McKinsey is not deploying to your injection molding plant
- Too smart for vendor hype, you want proof before seven-figure checks
That is exactly where we operate.
What plant managers need
A plan that respects production reality.
Which processes to improve first
Prioritized by EBITDA impact, effort, and data readiness
Realistic cost and value estimates
What each step costs and what it returns, before you commit
A workforce ready to use it
Training and change support built into the plan
Vendor strategy before vendor selection
Objective multi-platform evaluation
Implementation that respects reality
Lines cannot go down, maintenance teams need time, IT is stretched
How we engage
A service model that stays through adoption.
Each includes data integration, sensor strategy, digital twin development where appropriate, dashboard design, change management, and ongoing advisory.
01
+AI Value Assessment
Three weeks to a prioritized AI roadmap
02
+Predictive Maintenance Programs
Stop reacting, start predicting
03
+Production Intelligence and Optimization
Get more from what you already own
04
+Legacy Equipment Modernization
Protect revenue from aging assets
05
+AI Vendor and Platform Strategy
Buy the right thing the first time
Vendor neutral means vendor neutral
Recommendations without a hidden route.
- When a platform vendor does your assessment, they find problems their platform solves. Every time.
- When a consulting firm with partnerships does your assessment, they recommend their partners.
- We have no platform, no partnership revenue, no referral fees.
- Every platform vendor becomes a partner because we bring qualified opportunities.
We are the on-ramp. They are the highway. We make sure you get on the right highway.
+ / A practical next step
A practical next step
Your plant floor has answers. Let us go find them.
Start with a practical conversation about the operation, the data, and the people who will make change real.