The Next-Generation Quality Data Platform

Automate Quality Data Analysis and Management

iNDEQS is an integrated SPC platform that automatically collects production parameters and quality data generated in your processes, and handles everything from quality analysis and reporting to sharing insights. It consolidates scattered data and leverages AI to transform it into actionable knowledge that drives productivity improvements. We support manufacturing companies seriously committed to automation and knowledge accumulation.

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The Three Major Challenges in Quality Data Management

External Challenge: Compliance with International Standards

Quality data evaluation compliant with international standards offers high transparency and excels in external accountability. Compliance creates numerous global business opportunities, but involves a multitude of complex requirements. It is difficult for companies lacking specialized knowledge to comply, which becomes a common cause for lost opportunities.

Internal Challenge 1: Analysis Fails to Drive Improvement

Merely visualizing quality data or generating reports does little more than confirm past results. By building structured data that contributes to productivity and analyzing it correctly, you can extract actionable insights—such as “which production conditions to change, how to change them, and the expected degree of quality improvement”—as comparable metrics.

Internal Challenge 2: Severe Talent Shortage

Securing personnel with expertise in quality and statistics is not easy. Training based purely on hands-on experience is unpredictable and varies by individual. Conversely, transferring knowledge through formal education requires a tremendous amount of effort and time.
Rather than simply preserving raw data, by capturing the insights derived from it as explicit knowledge, you can solidify sustainably transferable production techniques as a lasting corporate asset.

The Overwhelming Strengths of iNDEQS

A Powerful Tool for Management

Full Compliance with the Latest Standards and

Accelerated Quality Improvement Cycles via Local AI

Particularly strong in the management of mass-produced automotive parts, it covers all SPC requirements of IATF 16949. It is also fully compliant with the evaluation methods of the latest AIAG & VDA SPC Manual 2026, enabling automatic, standards-compliant analysis simply by specifying an evaluation strategy.

For correlation analysis, it utilizes a dedicated, pre-trained local AI that eliminates the risk of data leakage. By running a consistent cycle from correlation analysis and hypothesis generation to effectiveness measurement entirely within the system, it dramatically accelerates quality improvement.

Free Frontline Staff from Monitoring

Unrestricted User Experience

Exception Monitoring and Flexible Access

Because data is automatically collected, there is no manual entry required. i-AutoRep automatically sends process analysis reports, and i-Board Alert emails alerts summarizing out-of-tolerance parameters or instability signals. This allows you to check primary information on your smartphone or tablet even while away from your desk. It frees workers from “constant monitoring,” enabling “exception monitoring” where they only need to log into the system when an issue arises.

By automating everything from data collection to analysis, the time people spend tied to the system is minimized, allowing them to focus on highly productive tasks.

Drastically Reduces Administration Effort

No Installation Required. A Browser-Based,

Secure, and Hassle-Free Operational Design

Since no client software is required, the hassle of patching and maintaining individual terminals is reduced to zero. Users can access each iNDEQS service module via the browser UI without needing to log into the server, freeing system administrators from dealing with minor daily requests like “please change this setting” from user departments.

Its secure design strictly limits open ports to only those required by iNDEQS, supporting both on-premises and cloud environments.
With SSL support, you can maintain a highly secure communication environment even on cloud servers.

Why Choose iNDEQS

Comparing iNDEQS with Other Systems

Features & Criteria

iNDEQS
Next-Generation Quality Platform

Standard SPC Software

General-Purpose BI Tools

Excel

Support for Latest Standards (AIAG & VDA SPC 2026 Compliant)

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Fully compliant (automated evaluation simply by selecting a strategy). Customization is also available.

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Partially supported, or requires separate customization.

In-house development is required for standards-compliant evaluation.

Information Sharing Methods

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Shares data insights using “manufacturing terminology.”

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Shares statistical facts using statistical terminology.

Information in the database can be shared as-is, but sharing insights requires user development.

File-based; unsuitable for broad sharing.

Statistical Analysis Knowledge

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Operations are unaffected by the user’s level of statistical analysis knowledge.

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A certain level of statistical knowledge is required to interpret statistical data into usable manufacturing information.

Requires the user to have the knowledge to interpret visualized information themselves.

Automated Process Pass/Fail Judgment

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Automated judgment based on rules. Eliminates personal bias and oversights.

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Pass/fail judgment for individual criteria is automated, but the overall process judgment is left to humans.

Humans judge the visualized information. Carries the risk of personal bias and oversights.

AI Integration

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Uses an embedded local AI specialized in process improvement analysis, enabling secure, seamless operation without the need for prompt engineering or data transfers.

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Even if AI is available, users must design the analysis methods and procedures themselves.

Requires the development of integration APIs or separate external AI agents.