Smarter manufacturing.
Real-time.
Relentless.
AI-native manufacturing intelligence, built for the kinetic age.
AI-native manufacturing intelligence, built for the kinetic age.
Your data exists. It's scattered across ERP, MES, CRM, spreadsheets, and inboxes—but it doesn't connect. Every question becomes manual archaeology. Every decision routes through you.
The problem isn't a lack of software. It's that your software stores information but doesn't synthesize it. It reports what happened. It doesn't tell you what to do next.
Heliqon changes that. AI-native manufacturing intelligence that connects your systems, understands your context, and thinks with you—so you can stop assembling the picture and start acting on it.
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.
Most software stores data. It doesn't understand relationships. Ontology is the difference — it's how Heliqon models the way your operation actually works, so AI can reason across your entire business instead of just reporting from isolated systems. Watch the short video to see why it matters.
Most software stores data. It doesn’t understand relationships. Ontology is the difference—it’s how Heliqon models the way your operation actually works, so AI can reason across your entire business instead of just reporting from isolated systems. Watch the short video to see why it matters.
Factory floor to cloud layer. Single-tenant or air-gapped. Your infrastructure, your control.
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