Compare CADDi Drawer vs. Caddi

A disjointed operational landscape can significantly slow down the processes of designing, sourcing, and producing components, leading to increased costs and a higher likelihood of errors. CADDi integrates manufacturing information throughout your entire operational framework, allowing your team to utilize it effectively. By scrutinizing drawings to extract pertinent data, it establishes connections to every purchase order, supplier corrective action request, computer-aided manufacturing file, or specification sheet linked to the design. This capability enables your team to uncover hidden patterns within your parts catalog, thereby optimizing production efficiency and minimizing expenses. Moreover, the system facilitates batch uploads of all 2D drawings, consolidating manufacturing insights into a single platform. It automatically captures all relevant data from the drawings, such as dimensions, text, and shapes, while even transforming handwritten sketches into searchable and comparable formats. Users can seamlessly search through the extensive archive of historical drawings using any keywords related to the drawings, including material type, size, designer's name, part designation, and annotations. Additionally, this comprehensive approach not only streamlines workflows but also empowers teams to make data-driven decisions that enhance overall productivity.

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.