Bring Structure and Speed to Hardware Production with AI-Native PLM
Discover how modern hardware teams use AI-native, API-first PLM to bring structure, traceability, and velocity to their design workflows.
As hardware systems grow more complex, teams often struggle with fragmented tools, disconnected design data, unclear ownership, and manual processes that slow development and introduce risk. These challenges lead to version confusion, siloed data, duplicated effort, and costly downstream errors.
Join us for a practical look at how Duro transforms hardware workflows with an AI-powered system of record for product data. Learn how intelligent automation, programmable workflows, and integrated change processes help teams automate data management, move faster, reduce errors, and build with confidence from concept through production.
What You'll Learn
- Create a structured, AI-powered system of record for design data
Centralize parts, BOMs, and design information in a single platform enhanced with AI-driven normalization, search, and data enrichment to eliminate version confusion and improve visibility.
-
Streamline collaboration across engineering teams with a programmable PLM
Enable electrical, mechanical, and cross functional teams to work from a shared source of truth, with flexible workflows all configurable via an intuitive user interface, YAML files, or direct API calls.
-
Improve change management with AI-assisted validation and impact analysis
Track changes with full context and history, automatically run validations on every workflow, and use AI to predict change impact and reduce downstream risk.
-
Reduce downstream errors and manufacturing risk with intelligent automation
Ensure accurate, validated data flows into production with automated checks, AI-generated validation rules, and traceable change processes built into every release.
Why Attend?
- See how an AI-native system of record eliminates version confusion and design silos
- Understand how programmable workflows and an API-first architecture improve collaboration, flexibility, and extensibility
- Learn how AI-powered validation and automation reduce rework and accelerate iteration
- Discover how intelligent data and continuous learning from product history improve manufacturing readiness
- Ask questions directly during the live Q&A session
Who Should Attend?
- Hardware Engineers looking to reduce workflow friction and improve design velocity
- Electrical and Mechanical Engineers needing better cross team coordination
- Systems Engineers seeking alignment across complex product architectures
- Manufacturing Engineers focused on reducing errors and improving release quality
- Engineering Managers and Team Leads aiming to scale team efficiency and reduce rework
- Any hardware team dealing with version confusion, disconnected tools, or slow iteration cycles
Reserve Your Spot
Don’t miss this opportunity to see how AI-native PLM and programmable workflows can help you build speed, structure, and flexibility into every stage of your product development.
Space is limited—secure your spot today and take the next step in connected electronics design!
Author
Author
Michael Corr is the Founder of Duro, an AI-native, API-first PLM platform helping hardware teams streamline design and manufacturing. With over 20 years of experience in hardware engineering and product development, he founded Duro to modernize how teams manage product data, collaboration, and change processes.
Author
Author
Konstantin is a Field Applications Engineer (FAE) at Altium and holds a B.Eng.(EE) and a M.Sc.(SEEM) in electronics and is based in Soest, Germany. He is a technical enthusiast with a passion for Electrical and Electronic Design with 10+ years industry experience in R&D, NPI, Product Definition for semiconductors, embedded systems, power electronics, Inverter, SMPS and industrial measurement systems. As an Altium user from the beginning of his career, he appreciates a lean PCB design workflow for High Speed Designs, MCAD/FEM Integration and Supply Chain handling to accelerate design cycle times with outstanding quality at the same time. He is always passionate about innovative technical problems that challenge the status quo, can classify them within the project/company framework and strive for practical & customer-oriented solutions that offer added value for society.
Author
Author
Natalia holds a Master’s in Electronic Design and brings nearly 15 years of experience in hardware design, testing, and field applications engineering. Her expertise includes high-level hardware architecture, schematic capture, board bring-up, and debugging. Comfortable in the lab and in customer-facing roles, Natalia has spent the last three years providing technical guidance in PCB and 3D design for Additive Manufactured Electronics (AME). Her role includes pre and post sales support, along with onboarding training for new users.
Author
Author
Majdi Thouabtia’s background is in electrical engineering, with several years of experience in hardware development and technical project management. He has worked across the full hardware lifecycle, from EMC-compliant circuit design and PCB layout to prototyping, testing, and production. Throughout my career, Altium Designer has been a key tool in his daily work, so he is especially proud to now be part of the team behind it.
Before joining Altium, he contributed to projects in the EV charging and IoT sectors, leading development efforts and collaborating with cross-functional teams and external partners. He holds a Master’s degree in Electrical Engineering from FAU Erlangen-Nürnberg.
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Bring Structure and Speed to Hardware Production with AI-Native PLM
Created: March 27, 2026
Product:
Agile Teams
Agile
Webinars
Electrical Engineers
Project Management
Systems and Product Design
Discover how modern hardware teams use AI-native, API-first PLM to bring structure, traceability, and velocity to their design workflows.
As hardware systems grow more complex, teams often struggle with fragmented tools, disconnected design data, unclear ownership, and manual processes that slow development and introduce risk. These challenges lead to version confusion, siloed data, duplicated effort, and costly downstream errors.
Join us for a practical look at how Duro transforms hardware workflows with an AI-powered system of record for product data. Learn how intelligent automation, programmable workflows, and integrated change processes help teams automate data management, move faster, reduce errors, and build with confidence from concept through production.
What You'll Learn
- Create a structured, AI-powered system of record for design data
Centralize parts, BOMs, and design information in a single platform enhanced with AI-driven normalization, search, and data enrichment to eliminate version confusion and improve visibility.
-
Streamline collaboration across engineering teams with a programmable PLM
Enable electrical, mechanical, and cross functional teams to work from a shared source of truth, with flexible workflows all configurable via an intuitive user interface, YAML files, or direct API calls.
-
Improve change management with AI-assisted validation and impact analysis
Track changes with full context and history, automatically run validations on every workflow, and use AI to predict change impact and reduce downstream risk.
-
Reduce downstream errors and manufacturing risk with intelligent automation
Ensure accurate, validated data flows into production with automated checks, AI-generated validation rules, and traceable change processes built into every release.
Why Attend?
- See how an AI-native system of record eliminates version confusion and design silos
- Understand how programmable workflows and an API-first architecture improve collaboration, flexibility, and extensibility
- Learn how AI-powered validation and automation reduce rework and accelerate iteration
- Discover how intelligent data and continuous learning from product history improve manufacturing readiness
- Ask questions directly during the live Q&A session
Who Should Attend?
- Hardware Engineers looking to reduce workflow friction and improve design velocity
- Electrical and Mechanical Engineers needing better cross team coordination
- Systems Engineers seeking alignment across complex product architectures
- Manufacturing Engineers focused on reducing errors and improving release quality
- Engineering Managers and Team Leads aiming to scale team efficiency and reduce rework
- Any hardware team dealing with version confusion, disconnected tools, or slow iteration cycles
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