Build a Smarter Factory—Privately

Key Takeaways

  • Predict issues before they stop production. On-device AI surfaces early-stage faults and schedules service while there’s still time to plan.
  • Run every shift at peak efficiency. Real-time analytics tune line parameters automatically, lifting OEE without extra hardware.
  • Catch defects the moment they appear. Edge-deployed vision models flag and log quality escapes in milliseconds.
  • Own your data, models, and ROI. Everything runs on Apple Silicon inside your factory—no cloud fees, no IP risk.
  • Unplanned downtime, scrap, and IP leaks cost manufacturers billions each year. webAI lets you run state-of-the-art AI entirely on Apple Silicon systems already on your floor, so you can spot failures before they halt a line, tighten quality control, and protect the data that sets you apart.

    Predictive Maintenance

    Breakdowns rarely arrive without warning—you just can’t hear the signal through the noise. By streaming high-frequency sensor data into lightweight local models, webAI surfaces early-stage anomalies and recommends service windows while there’s still time to plan. Customers that move failure-prone assets to condition-based schedules report clear declines in maintenance spend and noticeably higher uptime.

    Production Optimisation

    Every shift generates a river of production data—temperatures, feed rates, takt times. webAI ingests that telemetry in real time and suggests parameter tweaks that lift Overall Equipment Effectiveness and smooth out bottlenecks. Because inference happens on-premise, recommendations arrive in seconds and operators can respond before small drifts become costly trends.

    Visual Inspection & Quality Control

    Defects that slip past the human eye become warranty claims downstream. Edge-deployed vision models from webAI scan each part as it leaves the station, flagging voids, scratches, or mis-alignments in milliseconds and logging the results straight to your MES. Plants adopting the system see far fewer defect escapes and a matching reduction in manual inspection hours.

    Safety & Compliance

    PPE adherence, high-risk zones, near-miss patterns—all critical, all historically hard to monitor. webAI uses on-device computer vision to verify helmets, gloves, and guards in real time while predictive analytics spotlight areas where incident probability is rising. Safety teams get a clear early-warning dashboard and audit-ready logs that simplify ISO 45001 and OSHA reporting.

    Private by Design

    Data sovereignty isn’t a bolt-on feature—it’s the foundation. Every model, weight, and inference stays within your firewall; nothing touches a public cloud. Role-based access controls govern who can tweak parameters or export logs, and offline-first architecture keeps production running even when the internet doesn’t.

    Why manufacturers choose webAI

    • Fast deployment. Install on a Mac Mini, point models at live data, and start capturing value in weeks, not quarters.
    • Domain-tuned intelligence. Fine-tune vision and sensor models on your historical datasets for accuracy the big generalist models can’t match.
    • Full ownership. You keep the models, the code, and the insights—forever.
    • Transparent ROI. Built-in reporting tracks downtime avoided, scrap reduced, and energy saved, so payback is measured—not guessed.

    See what your data can tell you

    Book a quick, no-obligation walkthrough and we’ll show how webAI could surface hidden insights from a single line—using only the data you already collect.

    Book a demo today.

    Unlocking the impact & potential of AI:
    Read the full report today.
    Download now
    Unlocking the impact & potential of AI:
    Read the full report today.
    Download now