Engineering the future of High Tech Manufacturing with resilient software

From embedded systems to plant IT and digital platforms: Maintain operational flow with resilient, secure software foundations

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The state of IT in high tech manufacturing

of industrial manufacturers experienced a cyber incident in the previous year (Palo Alto).
30 %
use AI in at least one business function, but the majority are still in pilots (McKinsey).
30 %
of manufacturing organizations plan to invest in GenAI threat detection and defense this year (IO).
30 %
of manufacturers are impacted by technical debt — the highest of all surveyed industries (Cloudhouse).
30 %

Maximize productivity and resilience with secure, AI-ready systems

Strengthen security

Shift cybersecurity from detection to defect prevention

Make vulnerabilities, dependencies, and software supply-chain risks visible early, supporting CRA requirements.

Expose where legacy code, fragile integrations, and undocumented dependencies slow delivery, increase change failure, and consume IT capacity.

Improve flow efficiency

Shorten lead time by eliminating technical debt

Bring AI under control

Scale AI without increasing operational risk

Move from experimental AI to controlled, repeatable production use by embedding controls across the lifecycle.

 

Cut software-induced downtime

Safeguard uptime across IT, OT, and embedded systems

Identify software risks to improve recovery time in tightly coupled production environments.

Reduce risk created by local optimization

Govern decentralized software portfolios as one system

Replace fragmented, team-by-team decision-making with portfolio-level insight across embedded software, OT, and IT.

Assure the software supply chain

Make software risk traceable, auditable, and controllable

Create continuous visibility into third-party components, open-source dependencies, and embedded software.

Our services

Expert assessments

Software Portfolio Scan

Uncover inefficiencies and identify risks in IT portfolios

Software Risk Assessment

Align critical systems with your business objectives

AI Code Governance

Bring quality, security, and control to your AI-assisted code

Enterprise AI Readiness

Empower a scalable AI transformation

Sigrid® platform - Real time insights

Monitor and improve your entire software landscape in real time with Sigrid®—combining deep source-code analysis, AI-integrated insights via MCP, and benchmarking against global standards.

What Our Clients Say

“Siemens and SIG have partnered up on the right angles of early risk analysis, breaking the silos there. Sigrid and SIG deliver us quality assurance that we bring into the development lifecycle.”

Alexander Heyers

Solutions Consultant

“With Sigrid, insights into maintainability, quality and security of our software were embedded directly into our workflows, which really simplified adoption and helped our teams apply the right practices.”

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Pascal Bierhuizen

CTO

“With the certification through SIG and TĂœViT, we’ve now got something we can easily show to our customers to give them confidence that our body language recognition software isn’t just the world’s first – but also has rock solid technical quality.”

Harro Stokman

Founder & CEO

Related resources

Mastering software in the age of AI (webinar)

Learn how Siemens and Software Improvement Group bring clarity, control, and confidence to your software portfolio – even as AI accelerates change....

AI readiness guide for organizations

Practical steps for leaders to implement AI in organizations, focusing on AI governance, risk management, development, and security. Written by Rob van der Veer – Chief AI Officer at SIG, ...

The hidden software security risks business leaders should be aware of

Poor code and open-source vulnerabilities are often overlooked—until they trigger major business disruption. Learn how to find and fix them early....

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