Combine seamlessly CAD, BIM, PLM, document management and enterprise systems into a single engineering platform that speeds collaboration and design delivery so project decisions can finally be made with information.
Integrate CAD, BIM and engineering design packages into a cohesive design ecosystem to help collaboration, consistency of data and project coordination.
Create centralized engineering data sites for drawings, models, documents, approvals, and project information over the course of the design.
Merge BIM models with operational data, Internet of Things (IoT) technology, and asset management systems to develop digital twins that allow for simulation, visualization, and lifecycle management.
Take control of technical documents, specifications, drawings, and revisions by having a centralized repository that has controlled workflows, version management and security access.
Use AI to perform document classification, flag design conflicts, provide engineering recommendations, streamline processes and minimize design review time.
Automate repetitive engineering tasks, approval workflows, data validation and the exchange of information to enhance engineering productivity.
Integrate product lifecycle management systems with ERP, project management, asset management, engineering and other applications to ensure continuity of data.
Develop dashboards to track the design process, engineering productivity, design documents, change requests and project performance metrics.
Analyze CAD platforms, BIM environments, PLM systems, document repositories, collaboration tools and engineering workflows.
Craft integration methodologies leveraging APIs, cloud solutions, data pipelines and enterprise architecture constructs.
Integrate BIM models, CAD drawings, PLM systems, CDEs, ERP systems and project applications into one engineering ecosystem.
Automate workflows for approvals, document control, design reviews, data validation and project collaboration.
Incorporate AI analytics, digital twins, automation capabilities and real-time dashboards so that engineering decisions can be on a higher level.
Establish and implement identity management and access controls, encryption, audit and governance protocols for critical engineering information.
AptaCloud deployed a connected engineering data platform across BIM models, CAD systems, document management platforms, PLM systems, and enterprise applications. The automated processes and access to data from a central location, as well as the analytics associated with engineering, provided more visibility into the discussions and outcomes of design.
The integration of BIM allows for connected models, engineering information, documentation, and data on the project to promote collaboration, decrease design conflicts, speed up reviews, and keep accurate records.
Correct. AptaCloud offers secure API and cloud-based infrastructure that integrates with CAD, BIM, PLM, document management and other enterprise applications.
AI is being used to automate reading of documents, seeking out design issues, surfacing engineering knowledge, making design reviews more efficient and helping standard engineering workflows.
AptaCloud connects Autodesk Revit, AutoCAD, Civil 3D, Bentley Systems, Navisworks, Siemens Teamcenter, Dassault 3D EXPERIENCE, PTC Windchill, SAP, Microsoft Azure and Power BI.
A Common Data Environment is a central repository for engineering documents, models, versions, approvals and project information so that teams are working with the correct and latest information.
Yes. AptaCloud brings existing engineering environments into the modern era, using API first, cloud engineering and data engineering, while preserving existing technology investments.
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