Catch Early
Detects deviations during production, so corrective action happens before the defect exists.
Empowering QA Leaders with Predictive AI to Ensure Consistent Excellence
Ailoys enables QA teams to shift from reactive inspection to proactive prevention. By continuously monitoring key process signals, it detects even micro-level instabilities before they cause defects — ensuring higher yield, consistent quality, and reduced inspection burden.
Key Challenges for QA Leader
& How Ailoys Solves Them
Too much time spent on catching defects after they occur
Inspection capacity can't keep up with output
Automate QA
Automates in-line quality checks, reducing manual inspection load.
Difficulty proving root cause for recurring issues
Trace Root Cause
Detailed deviation logs link process changes directly to defect spikes, supporting faster root cause analysis.
Key Advantages for a QA
Built for business leaders who need profitable growth, operational resilience, and a clear innovation path. Ailoys' predictive AI helps protect margins, scale without proportional costs, and reduce risk — all while integrating smoothly into existing operations.
01
Zero-Defect Mindset
Prevents defects instead of just detecting them after the fact.
02
In-Line Automated Inspection
Checks every part in real time without slowing production.
03
Consistent Quality Across Shifts
Ensures process stability regardless of operator or time of day.
04
Faster Root Cause Analysis
Links deviations to defect trends in seconds.
05
Data for Continuous Improvement
Actionable quality data for compliance, audits, and performance gains.
How It Works
Connect
Install Ailoys sensors and units without replacing PLCs or controllers.
Deploy AI
Data streams securely to the cloud, building a live operational twin.
Guide & Improve
Operators get plain-language instructions; the AI refines its models after every cycle.
Scale
Roll out to new machines and sites with the same infrastructure.
Sample Use Case
Use Case #1 — QA
90% Fewer Defects Reaching Final Inspection. 35% Faster Root Cause Analysis.
In a facility with strong quality control, a spike in rare but costly defects began appearing at final inspection. The issue overloaded QA resources and created uncertainty about whether other batches might also be affected. Tracking the cause proved difficult because deviations were subtle and occurred early in the process.
What Ailoys did
- Implemented monitoring to catch process shifts before out-of-spec output
- Mapped defect occurrences back to exact process conditions and machine states
- Provided clear, real-time alerts for immediate operator action
Outcome
- Defects reaching final inspection reduced by 90%
- Faster isolation of problem sources reduced repeat occurrences
- QA teams regained capacity to focus on preventive quality measures
Explore Process-
Specific Solutions
Specific Solutions