What if we have multiple part variants on the same line?

Our vision system learns from 'Golden Samples' of each variant, so it can inspect all parts correctly regardless of which product is running.

How quickly can we identify root causes?

Most root causes are identified within hours through automatic correlation of machine logs, material batches, and environmental data.

Do you provide the cameras and hardware, or do we buy our own?

We work with both approaches. We can integrate existing industrial cameras or recommend and install purpose-built systems optimized for your parts.

Can this work for very small or complex geometries?

Yes. We use high-resolution imaging and 3D scanning for complex parts, including sub-millimeter precision inspection for medical devices and aerospace components.

How does it handle warranty and recall situations?

Our full traceability system lets you instantly identify every part with a specific defect, enabling targeted recalls and recovery of affected units.

Manufacturing Analytics

Automated Quality Control & Root-Cause Analytics Built for Zero Defects

We help manufacturers catch defects at the station they happen, trace every failure to its root cause, and stop the same flaw from running through the next batch, before scrap, warranty claims, or recalls hit your numbers.

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Precision at Scale

Quality caught at the end of the line is quality already paid for. By then the part is scrap, the line has run defects for an hour, and the cost is locked in. We build AI systems that monitor every station in real time, flag the first sign of variation, and trace it back to the machine, batch, or shift that caused it, so problems get fixed at the source instead of repeated downstream.

The Old Way

Manual QC

The Intelegencia Way

AI Quality

Human Inspection Fatigue

Tireless Precision

High Scrap Costs

Real-Time Yield Tracking

Slow Feedback Loops

Instant Root-Cause Logic

Recalls & Warranty Claims

Reduced Warranty Risk

Unknown Failure Causes

Quantified Six-Sigma Growth

In-Line Visual Inspection

Human inspectors catch a fraction of what passes them, and fatigue cuts that further across a shift. Our computer vision systems inspect 100% of your parts in milliseconds, picking up surface defects, dimensional variations, and component misalignment that human eyes miss. Bad parts are flagged in real time and diverted from the line before they pick up further processing cost, ship to a customer, or trigger a downstream recall. Every shift gets the same level of scrutiny, regardless of volume or hour.

Sub-Millimeter Defect Detection

Surface Finish Analysis

Component Presence Verification

Real-Time Yield Alerts

Automated Scrap Diversion

Automated Root-Cause Analysis

Finding a defect is just the start. Our root-cause engine correlates quality failures with hundreds of variables: machine parameters, material batch numbers, operator shifts, temperature, humidity, and more. We identify the precise combination that caused the flaw, allowing you to stop it before the next part runs. Defect investigation moves from guesswork to data-driven certainty.

Multi-Variable Correlation Analysis

Machine Parameter Forensics

Material Batch Traceability

Shift and Operator Tracking

Automated Corrective Action Triggers

Statistical Process Control (SPC)

We monitor your production process in real-time using control charts that flag statistical anomalies before they create scrap. Our SPC algorithms learn the natural variation of your process and alert operators the moment a trend emerges (e.g., gradual dimensional drift). Catch problems at the first warning sign, not after parts fail inspection. Prevention beats correction every time.

Real-Time Control Chart Monitoring

Trend Detection Algorithms

Capability Index Calculation

Out-of-Control Signal Analysis

Predictive Adjustment Recommendations

The Six-Sigma Stack

Quality Units

Specialized modules that work together to keep quality consistent across machines, suppliers, shifts, and product variants, so defects get caught, traced, and prevented at every layer of your production.

Root-Cause AI

Analyzing 1,000 variables to find why a part failed.

Yield Monitoring

Real-time tracking of 'Good vs. Bad' production.

Vendor Quality

Automatically flagging batches from bad suppliers.

Compliance Bot

Automated ISO and regulatory quality reporting.

Traceability & Compliance Automation

Every defect must be traceable: which batch of material, which operator, which machine, which timestamp. Our system automatically links defects to full production context and generates audit trails for regulatory compliance. For regulated industries (automotive, medical device, food), we auto-populate quality reports and manage deviation documentation. Compliance becomes automatic, not manual.

Full Production Context Linkage

Batch-to-Part Traceability

Automated Compliance Reporting

Deviation Documentation

Supplier Quality Integration

The Path to Perfection

Our Quality Roadmap

Five steps that catch defects at the source before scrap costs build, covering failure mode audit, vision and sensor deployment, quality baseline training, root-cause correlation, and closed-loop prevention automation.

Defect Audit

Mapping current failure types and scrap costs.

Vision/Sensor Install

Placing cameras and sensors at critical stations.

Baseline Training

Teaching the AI 'What a perfect part looks like'.

Root-Cause Build

Connecting QC data to machine and labor data.

Close-Loop Feedback

Enabling the AI to adjust machines to prevent defects.

Measured Performance. Proven Growth.

Scrap Reduction

Inspection Speed

Yield Improvement

Root-Cause Resolution

Frequently Asked Questions
About Automated Quality Control & Root-Cause Analytics

Here you will find answers to questions we get asked the most about our offerings.

Yes. We use 'Anomaly Detection,' which flags anything that looks different from a perfect part, even if it's a defect it has never seen before.