Manufacturing AI

Predict Downtime Before It Costs You a Shift.

BaristaLabs builds AI that monitors your equipment, optimizes your production line, and catches defects before they reach the customer.

See How AI Can Optimize Your Plant

45%

Less Downtime

Reduction in unplanned equipment downtime

30%

Quality Improvement

Decrease in defect rates with AI inspection

20%

Cost Reduction

Savings in maintenance and waste costs

99%

Defect Detection

Accuracy in AI-powered visual inspection

Sound familiar?

Unplanned Downtime Kills Margins

A single unexpected equipment failure can cost tens of thousands in lost production, emergency repairs, and missed deadlines.

Quality Issues Slip Through

Manual inspection can't catch every defect at production speed. One bad batch reaching a customer can damage your reputation for years.

Supply Chain Blind Spots

You can't forecast material needs accurately, leading to either costly overstock or production delays from shortages.

How It Works

48-Hour Discovery

We assess your equipment, sensor data, and production workflows to identify where AI creates the biggest impact.

Build in Weeks, Not Months

Your first AI system — predictive maintenance, visual inspection, or demand forecasting — ships within 3-6 weeks.

Iterate and Expand

We calibrate models on your production data, then scale to additional lines and facilities.

Real-World Results

Predictive Maintenance System

AI monitoring of equipment sensor data to detect failure patterns and schedule maintenance before breakdowns occur.

45% reduction in unplanned downtime, 20% maintenance cost savings

What We Deliver

Predictive maintenance
Quality control
Supply chain optimization
Production scheduling

“We went from losing 3 shifts a month to unplanned downtime to nearly zero. The predictive maintenance system paid for itself in the first quarter.”

Robert Chen

Pacific Coast Manufacturing

Manufacturing Insights

Google Absorbs Intrinsic to Speed Up Physical AI in Factories

Google is bringing Intrinsic into the company to scale AI-powered robotics across manufacturing and logistics. The move could lower integration costs and shorten the timeline from robot simulation to production.

Frequently Asked Questions

Do we need new sensors or equipment?

Usually not. We work with the sensor data you already collect — vibration, temperature, pressure, PLC logs. If gaps exist, we recommend targeted, low-cost additions.

How does predictive maintenance work?

AI learns the normal behavior of your equipment and detects subtle pattern changes that signal failure — days or weeks before it happens.

Can this integrate with our SCADA/MES system?

Yes. We connect with most SCADA, MES, and ERP systems through standard industrial protocols and APIs.

What about data from legacy machines?

We've worked with equipment from the 1990s to brand-new CNC machines. If it produces data, we can work with it.

Don't let inefficiency hold your manufacturing business back.

See what AI can do for your team — in weeks, not months. No contracts, no bloated proposals. Just results.

See How AI Can Optimize Your Plant

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