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Turning Data Into Quality, Instantly

A clear process that turns real-time data into real-world results.

How it works

Our Process

Sensors

Collects, processes, and stores continuous streams of sensor data in real time. This allows rapid access, deep analysis, and clear insights to maintain consistent production performance.

Live Validation

Sentiq performs real-time reconciliation between high-frequency production data streams and master specification datasets, enabling in-process validation and immediate anomaly detection at full line throughput.

Big Data Infrastructure

Collects, processes, and stores continuous streams of sensor data in real time. This allows rapid access, deep analysis, and clear insights to maintain consistent production performance.

SQL Database Architecture

Delivers fast, secure, and scalable access to all production data. Information is always available for analysis and decision-making across multiple lines and facilities.

Advanced Analytics + Alerts

Uses algorithms and defined rules to detect anomalies, anticipate problems, and alert operators immediately, preventing defects, avoiding downtime, and reducing the risk of costly recalls.

The DDQA Bridge

01
Connecting Your Entire QA Ecosystem

The DDQA Bridge links production-floor equipment directly to advanced analytics. It integrates with all sensors, syncs instantly with master data, and ensures every reading is accurate, verified, and ready for action. This direct connection enables real-time defect detection, automatic alerts, and full traceability for every product manufactured.

02
Optimized for Every Production Environment

From high-speed mass production to small-scale specialized runs, the DDQA Bridge adapts without disruption. Its scalable design maintains consistent monitoring across any setup, product range, or operational complexity

03
Data Without the Delay

The DDQA Bridge eliminates the gap between data capture and decision-making. By processing and delivering information instantly, teams can act immediately to maintain quality, prevent defects, and reduce costly downtime.

What Makes It Powerful

Automatic sampling every 10 seconds
Works with all sensor types (visual, analytic, etc.)
Fully customizable checkpoints to fit your process
Calculated traceability (“Which can on which pallet”)

From Manual to Smart

Classic QA

Intervals of 60–120 minutes

Manual sampling & checkpoints

Limited data collection

No advanced analytics or alerting

Data -Driven Q&A

Automatic sampling every 10 seconds or on change

Comprehensive control & trending capabilities

Optimized checkpoints and full traceability

Integrated alerts & advanced analytics

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