Empowers product-driven enterprises with intelligent, secure, and scalable data connectivity

Aras, a leader in product lifecycle management (PLM) and digital thread solutions, today announced Aras InnovatorEdge, a low-code API management framework embedded in its flagship Aras Innovator® platform. This new offering simplifies API creation and integration, reducing the need for coding and development expertise.

With Aras InnovatorEdge, organizations can securely extend access to product data and reimagine business processes – driving higher quality, greater operational efficiency, and a shorter time to value. By simplifying the creation and management of powerful API services that provide access to PLM and digital thread data and workflows, Aras InnovatorEdge supports a variety of use cases, including:

• Simplifies PLM and enterprise process integration: Streamlines integration between PLM and other enterprise business systems like CRM, ERP, manufacturing systems, and supply chain systems, while also connecting with the digital engineering ecosystem, including mechanical CAD, electronic CAD, and software lifecycle management platforms.
• Enables the creation of secure, thread-connected apps: Simplifies the development of mobile-friendly microapps using Aras’ low-code development tools or any third-party application development framework.
• Enhances value chain collaboration: Facilitates secure data exchange with suppliers, service partners, design partners, and customers to simplify collaboration and accelerate time-to-market.
• Establishes secure, governed, bidirectional connections: Enables targeted, purpose-built data streams between operational data stores and enterprise data lakes to support controlled and compliant data management across the enterprise.
• Integrates with powerful data science and AI services: Aras is collaborating with Microsoft to integrate Aras InnovatorEdge with Microsoft Fabric, Microsoft 365 Copilot, and Microsoft Cloud for Manufacturing, enabling seamless connectivity for advanced analytics and AI-driven insights. According to Gartner®, “To support AI initiatives, it’s essential to enhance API strategies to accommodate dynamic AI consumers with heightened security and gateway needs¹.”

“Aras InnovatorEdge rethinks the product data and digital thread experience by providing secure, real-time access to PLM data across the enterprise,” said Roque Martin, CEO of Aras. “Built for scalability and flexibility, its low-code, configurable approach accelerates digital transformation, strengthens collaboration, and enhances decision-making.”

“Aras InnovatorEdge enhances how organizations integrate AI and analytics into their operations while maintaining secure, seamless data connectivity,” said Dayan Rodriguez, Corporate Vice President, Manufacturing & Mobility at Microsoft. “Integrating Aras InnovatorEdge with Microsoft Fabric enables customers to unlock deeper insights, optimize decision-making, and drive greater efficiency across the digital engineering landscape.”

About Aras

Aras is a leading provider of product lifecycle management and digital thread solutions. Its technology enables the rapid delivery of flexible solutions built on a powerful digital thread backbone and a low-code development platform. Aras’ platform and product lifecycle management applications connect users in all disciplines and functions to critical product data and processes across the lifecycle and throughout the extended supply chain. Visit www.aras.com to learn more and follow Aras on YouTube, X, Facebook, and LinkedIn.

Copyright © 2025 by Aras Corporation and/or its affiliates. All rights reserved. Aras and Aras Innovator are registered trademarks of Aras Corporation in the United States and other countries. Third party trademarks mentioned are the property of their respective owners.

¹ Gartner, How to adapt your API strategy to succeed in the AI Era, Shameen Pillai, Mark O'Neill, 24 February 2025

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

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