Authentise Launches “Whisper” AI Platform To Capture Engineering Intent Across Manufacturing Workflows

PHILADELPHIA—Authentise has launched a new AI platform designed to capture and act on engineering knowledge across the product development and manufacturing lifecycle, addressing a longstanding gap in how technical decisions are documented and executed.
The platform, called Whisper, is positioned as an “agentic AI backbone” that connects engineering activity across tools and systems, enabling real-time updates and automation within existing workflows. The system is designed to capture information from sources such as email, chat and meetings, where critical engineering decisions are often made but not formally recorded.
Authentise said the goal is to improve coordination, compliance and execution by turning fragmented knowledge into structured, actionable data tied directly to manufacturing processes.
“Engineering intent is the missing layer in digital transformation,” said Andre Wegner, CEO of Authentise. “It doesn’t ask engineers to change how they work. It listens, understands and acts.”
Whisper integrates with enterprise systems such as ERP, PLM and quality management platforms, allowing it to automate updates, monitor compliance and maintain traceability across projects and parts. The system can also generate documentation, track project health and flag potential risks earlier in the development process.
The platform is designed to operate within existing environments rather than requiring new interfaces, reflecting a broader shift toward embedding AI into established engineering and manufacturing workflows.
Authentise said the system is built as a configurable platform rather than a standalone application, enabling users to develop custom automation tools tailored to specific production and engineering needs.
The launch highlights growing interest in AI systems that move beyond data analysis to take direct action within manufacturing operations, particularly as companies look to improve visibility, reduce errors and accelerate execution across increasingly complex production environments.
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