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Description

CADDi is an AI-powered manufacturing intelligence and data management platform designed to help industrial companies organize engineering information, improve operational efficiency, and make data-driven decisions. The software connects fragmented information from CAD files, technical drawings, bills of materials, ERP systems, PLM applications, CRM platforms, and internal document repositories. Its data processing capabilities use proprietary geometry analysis and manufacturing-specific AI to extract specifications, identify similar components, and structure information from previously unsearchable documents. A semantic data layer establishes relationships between parts, suppliers, manufacturing processes, quality records, purchase histories, and other business information. CADDi Explorer enables employees to search and compare technical and operational data across departments, facilities, and enterprise systems. CADDi Agent uses connected organizational knowledge to analyze manufacturing challenges, recommend actions, and execute supported workflows based on company-specific requirements. The platform includes dedicated applications for design reuse, design reviews, procurement management, supplier quotation comparisons, manufacturing cost analysis, and production readiness. Its workflow products capture engineering decisions, operational outcomes, and institutional knowledge so information can be reused in future projects. CADDi provides enterprise access controls, encryption, audit logging, and security capabilities to support manufacturers managing sensitive product designs and operational data.

Description

Caddi is an innovative platform that leverages AI to streamline back-office tasks by identifying and automating repetitive activities within the existing tools that your team employs. It accomplishes this by analyzing user activity from various connected systems, which only requires read-only access, to pinpoint frequently executed manual processes, ranking them based on potential time savings and certainty, and highlighting which workflows should be developed. To onboard Caddi, you instruct it similarly to training a new employee: by sharing your screen to demonstrate the job, verbally explaining each step, outlining rules, addressing exceptions, and refining the workflow through conversation. Subsequently, Caddi creates an automated loop that integrates seamlessly with existing tools while also monitoring for any anomalies that may require further attention. The platform uses deterministic code for tasks that require precision, while employing AI for scenarios that involve decision-making, ensuring consistent handling of the same inputs. Every execution is meticulously logged and can be replayed, providing insights into the automation's decisions, the rationale behind those choices, and the permissions utilized. This comprehensive logging not only enhances transparency but also facilitates continuous improvement by allowing users to review and refine the automated processes over time.