FORVIA and Raiqon GmbH announced Thursday a strategic partnership to use artificial intelligence in automotive requirements engineering, with a platform intended to ease the manual work of managing complex product-development projects.
FORVIA said the most complex programs can require engineers to track up to 15,000 individual technical requirements. Requirements engineering covers the definition, analysis and management of those specifications as a product is developed. The company frames the partnership as support for teams handling the volume of engineering information involved in complex programs.
The jointly developed system uses Raiqon’s multi-agent AI platform and is integrated with FORVIA’s IBM DOORS environment. FORVIA said it runs inside the company’s secure IT environment and connects information across engineering applications. The company is adapting the system for business needs at FORVIA HELLA and Faurecia Clarion Electronics.
Its intended tasks include inspecting requirements, spotting similarities and drawing on assessments engineers have already completed. The tool is also designed to detect inconsistencies and create links between requirements when relationships are missing. FORVIA said automating these steps is intended to cut manual work and help engineers focus on new requirements.
The partnership forms part of FORVIA’s IGNITE transformation program. The release describes requirements engineering as defining, analyzing and managing technical specifications, while the platform is being configured for specific business needs. It did not identify a deployment scale or say when adaptations for the named business units would be complete.
FORVIA CEO Martin Fischer said artificial intelligence is becoming more important to innovation and companies’ ability to compete in the auto industry. The announcement did not quantify time saved, productivity gains or how many engineers will use the platform.
The announcement does not quantify implementation costs or identify which party will bear them. It also gives no schedule for broader rollout, leaving the timing of wider deployment unspecified.
