Sigrid AI 360 Scan - ISO 5338

Sigrid® AI 360 Scan - ISO 5338 is powered by SIG Software Improvement Group

Software is the backbone of the business world, yet software quality is often treated as an afterthought. Our vision is to transform software landscapes globally, making technology faster, safer, more reliable, and adaptable in an increasingly AI-driven world.
Software Improvement Group (SIG) collaborates with Siemens Digital Industries Software in a strategic OEM partnership to address cybersecurity compliance needs. Organizations using the Siemens Xcelerator portfolio manage their cybersecurity compliance through Siemens’ Polarion ALM™ software for application lifecycle management (ALM) and SIG’s software assurance guiding platform, Sigrid® for full portfolio landscape assessment.

Discover SIG Software Improvement Group

Why AI 360 Assessment?

Ensure that your AI systems are high-performing, secure, scalable, maintainable, and compliant. The 360° AI Assessment is a comprehensive functional and nonfunctional evaluation of your AI systems that can ensure high-quality implementation, data processing integrity, and up-to-date capabilities.

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Benefits

Easier regulatory compliance and business performance. Get a clear overview of your AI systems and their performance metrics, making it easier to comply with evolving regulations.
Safeguard AI investments and innovation. Protect your AI investments by ensuring it’s built with high-quality, maintainable, and future-proof code. Scalable, high-performing AI models enable your business to swiftly adapt to market changes and maintain a competitive edge.
Reduce technical debt, increase efficiency. Pinpoint critical improvements for your software quality and long-term efficiency. Identify and address areas of poor code quality, improve the build quality of your AI systems, realize cost savings, and enhance developer productivity.

Featured Capabilities

AI software build quality

Analyze your AI system's software quality using the Sigrid platform. This enables you to adhere to globally recognized coding
standards, best practices, and identify potential issues before they impact performance, reliability, security, and
maintainability.

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Bias Testing & Fairness

Detect biases in your AI models, ensuring fairness and compliance with ethical standards. Our assessment includes fairness
metrics and actionable strategies to promote equitable AI solutions.

AI model performance

Gain useful insights on key KPIs associated with your AI system by calculating reliable, proven AI performance metrics. These
metrics will help you enhance your model’s quality and effectiveness in serving its purpose.

Case Study

Routescanner’s path to trustworthy, transparent AI

This case study outlines how Routescanner worked with Software Improvement Group (SIG) to independently validate the trustworthiness of its AI-driven routing engine.

Routescanner’s path to trustworthy, transparent AI