PTC has announced advancements to its application lifecycle management (ALM) portfolio with the release of the Codebeamer 3.2, Codebeamer AI 1.0 and Pure Variants 7.2 solutions. These updates help organisations manage growing product complexity and regulatory demands with … Continued
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PTC has announced advancements to its application lifecycle management (ALM) portfolio with the release of the Codebeamer 3.2, Codebeamer AI 1.0 and Pure Variants 7.2 solutions. These updates help organisations manage growing product complexity and regulatory demands with greater confidence and control as products become increasingly software-driven. The releases reinforce the position of PTC’s ALM suite as the system of record for software development and requirements management in regulated industries—including automotive, medtech, federal, aerospace and defence—by strengthening traceability, change management and introducing governed AI assistance that aligns with regulatory and quality requirements.
“Our customers’ products are becoming increasingly complex and software-driven, and they need confidence that every change, requirement and decision is connected across the product lifecycle,” said Enrique Krajmalnik, the general manager of ALM at PTC. “Codebeamer 3.2, Codebeamer AI 1.0 and Pure Variants 7.2 will help our customers continue to modernise their software development and requirements management efforts, build a stronger product data foundation for managing complexity, and apply AI effectively and responsibly.”
To help engineers manage complexity and meet regulatory requirements, Codebeamer 3.2 and Pure Variants 7.2 introduce new features and enhancements, including:
Building on these capabilities, Codebeamer AI 1.0 introduces two new AI assistants: the Requirements Assistant and the Test Case Assistant. Traditionally, maintaining high-quality, standards-compliant requirements has relied on manual reviews, which can lead to ambiguities, inconsistencies and delays. The Requirements Assistant, aligned with INCOSE and ISTQB guidance, automatically detects requirement quality issues, enabling faster creation of clearer, standards-aligned requirements with less dependence on expert review. Separately, manual test case creation is often time-consuming and error-prone; the Test Case Assistant generates and optimises test cases directly from requirements, enabling improved accuracy and consistency, strengthened traceability and accelerated validation activities.
“We built Codebeamer AI to help simplify and streamline time-consuming tasks within the requirements development process,” said Joseph June, the global head of AI innovation at PTC. “By working alongside engineers in real time, Codebeamer AI brings greater clarity and consistency to everyday decisions, helping teams move faster with confidence and keep pace with the demands of modern, software-driven product development.”
Codebeamer and Pure Variants, along with the rest of PTC’s portfolio, support the company’s vision for the Intelligent Product Lifecycle, which enables manufacturers and product companies to build a product data foundation in engineering, extend the value of that data across their entire enterprise, and power AI-driven transformation. Working alongside other AI solutions, such as PTC’s Windchill AI and ServiceMax AI solutions, Codebeamer AI helps organisations scale AI-driven transformation with confidence.
For more on Codebeamer AI, visit https://www.ptc.com/en/products/codebeamer/codebeamer-ai.
For more on Codebeamer and Pure Variants, visit https://www.ptc.com/en/blogs/alm/new-era-scalable-product-development.
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