Smarter manufacturing.
Real-time.
Relentless.
AI-native manufacturing intelligence, built for the kinetic age.
AI-native manufacturing intelligence, built for the kinetic age.
The phone rings. A customer needs a quote—fast. You open three systems, search folders, cross-check emails, calculate from memory—and then assemble the answer in your head. The data exists—scattered across ERP, MES, CRM, spreadsheets, file servers, and inboxes.
But it doesn't connect. It all routes through you.
That's the fundamental problem underneath everything else: your systems store information, but they don't synthesize it into decisions.
Every question becomes archaeology:
- "What did we quote last time?" → Dig through email, files, and ERP
- "Can we deliver by Friday?" → Check schedule, call vendors, verify capacity
- "Why is this order late?" → Search systems, rebuild the timeline manually
The cognitive load crowds out the decision load. You spend your day assembling the picture, and lose the capacity to act on it.
AI-native manufacturing intelligence closes this gap. Systems that synthesize context, not just store data. That answer questions, not just display records. That think with you, not against you.
The gap between plan and reality.
Every job is a moving target. Traditional systems assume everything goes to plan.
Material delayed. Machine down. Rush order from your biggest customer. Your plant runs on exceptions. You need intelligence that adapts in real-time, not software that only reports what broke.
Your ERP knows tomorrow. Machines know yesterday. Nobody knows now.
That gap is expensive. Quality issues surface late. Downtime gets discovered after it costs you hours. Supplier changes hit margin before anyone sees impact.
A senior machinist retires. 30 years of experience walks out the door.
Workarounds, setup tricks, and customer quirks vanish. The new operator doesn't know the right fixture. The engineer doesn't know why a part rejects at 2%. Teams start from scratch—again.
Saturday at the plant. Again. This isn't a strategy.
Weekend heroics cover for weekday visibility failures. At $50M, it gets you through. At $500M, burnout is guaranteed—and overtime eats margins.
COO. CEO. Floor Manager. You're wearing nine hats.
This worked when the company was smaller. You could be everywhere. But you're not running a $10M operation anymore—you're scaling a $100M one. You can't clone yourself. You need to distribute intelligence.
85% yield. 15 parts short. Which customers affected? Unknown.
Most systems won't tell you what breaks downstream. You don't know which orders are at risk. You don't know who to call, or what revenue is exposed. The customer calls you first—and they're already frustrated.
Material costs spike. You find out at invoicing.
Aluminum was $2.85 when you quoted. Today it's $3.15. You don't know which jobs just lost margin. Your 28% margin becomes 18%. On a $50,000 order, that's $5,000 gone.
15 hours making fixtures. Nowhere to record it, or which jobs made money.
Your estimating system thinks setup takes three hours. Reality is 18 hours of fixture work, programming, and first article inspection buried in "miscellaneous." You're quoting blind.
Factory floor to cloud layer. Single-tenant or air-gapped. Your infrastructure, your control.
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