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What is Phaidra?

We support large-scale manufacturing enterprises that are focused on producing some of the most critical and sensitive pharmaceuticals globally. Our highly trained engineering team has a wealth of experience in manufacturing environments, excelling in domains such as process control, operational management, engineering, and system design. Sectors like pulp, paper, packaging, and converting allocate considerable investments to transform raw materials into widely used products, resulting in complex systems that are often large in scale and prone to considerable variability. By utilizing our real-time control solutions, industry experts can enhance their ability to meet crucial performance metrics effectively. Furthermore, data centers necessitate significant cooling to maintain their operational integrity, and Phaidra specializes in optimizing these vital infrastructures. Our AI solution is designed to be both highly configurable and adaptable, making it suitable for diverse needs. With the right data and system intricacy, we can substantially optimize your operational frameworks, ultimately driving enhanced efficiency and productivity throughout your processes. This comprehensive approach ensures that your manufacturing operations remain competitive and capable of responding to the ever-evolving demands of the market.

What is CADDi?

CADDi is an enterprise AI data platform for manufacturing that enables industrial organizations to connect, structure, search, and analyze engineering and operational information across their business systems. The software addresses fragmented manufacturing data by consolidating information from CAD files, technical drawings, bills of materials, product lifecycle management systems, ERP applications, procurement records, and internal file repositories. Its Data Layer uses proprietary analysis technologies to interpret structured and unstructured information, including PDFs, specifications, images, presentations, audio recordings, and engineering documents. Advanced geometry recognition analyzes two-dimensional drawings and three-dimensional models to extract product characteristics, identify similar components, and uncover opportunities for design standardization and reuse. The platform's Semantic Layer connects related information across parts, suppliers, manufacturing processes, pricing, quality records, and organizational functions to establish a searchable knowledge foundation. CADDi Explorer provides enterprise-wide data discovery capabilities that allow engineers, procurement specialists, and managers to locate historical drawings, compare components, investigate quality issues, and access relevant operational information. CADDi Agent uses manufacturing-specific AI and company knowledge to evaluate information, support technical decisions, and perform tasks based on organizational requirements and established decision criteria. Its CADDi Composer application supports design reuse analysis, while CADDi Design Review helps engineering teams evaluate product designs and identify potential issues. CADDi Quote centralizes supplier quotation workflows, recommends potential suppliers, compares pricing and delivery terms, and records procurement decisions for future reference.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Phaidra

Company Website

www.phaidra.ai/our-solutions

Company Facts

Organization Name

CADDi

Date Founded

2017

Company Location

United States

Company Website

caddi.com

Categories and Features

Categories and Features

Manufacturing Intelligence

Aggregation
Analysis
Visualization

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