Tandem Resources
108 posts
Part Traceability for Hardware Manufacturing: Serial Number to Evidence
Go beyond barcodes. Learn why part traceability for hardware manufacturing requires an engineering evidence chain from requirement to design decision to part.
Drafter Inc Alternative: Tandem vs Drafter on Design Intent
Searching for a Drafter Inc alternative? Learn how Tandem and Drafter Inc define design intent differently for aerospace, medical device, and robotics teams.
Five Flute Alternative: Tandem vs Five Flute for Design Reviews
Compare Tandem and Five Flute for 2D and 3D design reviews, then see how Tandem adds AI, requirements, change intelligence, verification, and release.
Leo AI vs Tandem: Choosing a Leo AI Alternative
Compare Leo AI and Tandem for mid-task engineering assistance, and see how Tandem adds proactive CAD context, change impact, and downstream automation.
CoLab Alternative: Tandem vs CoLab for Design Review
Compare CoLab and Tandem for CAD and drawing reviews, then see how Tandem's AI connects feedback to requirements, changes, verification, and release.
Altium Requirements Portal Alternative: Tandem vs Valispace
Compare Tandem with Altium Requirements Portal, formerly Valispace, for cross-domain requirements, design traceability, verification, and hardware development.
DraftAid Alternative: Tandem vs DraftAid
Compare Tandem vs DraftAid for automated 2D drawing generation and see how Tandem connects CAD, requirements, reviews, verification, and release.
Tandem vs Trace.Space: AI Requirements & Traceability Compared
Searching for a trace.space alternative? Compare Tandem and Trace.Space on CAD integration, AI requirements management, and hardware lifecycle traceability.
Flow Engineering Alternative: Tandem vs Flow
Compare Tandem vs Flow Engineering and see why Tandem is the broader AI-native platform for requirements, CAD, reviews, validation, and release.
AI Copilot for CAD: What They Do and Where They Fall Short
Explore how an AI copilot for CAD mechanical engineers automates geometry but misses engineering rationale. Learn why Tandem fills the context gap in hardware.
AI Design Review for Hardware Engineering Teams: A Practical Guide
What AI design review means for hardware teams: what it catches, where it fits alongside PDR and CDR, and how it compares to a manual review process.
AI Requirements Management for Hardware Engineering Teams
AI requirements management for hardware teams: how AI links requirements to CAD changes and evidence, and how it compares to Jama, DOORS, and Codebeamer.
Communicating Design Changes to Suppliers Without Costly Errors
Learn how to improve communicating design changes to suppliers. Prevent rework and scrap by building traceable ECO packages that connect design intent to CAD.
As-Built vs As-Designed: Configuration Management for Hardware
Learn how as-built vs as-designed configuration management prevents drift. Close the gap between CAD and production with Tandem to reduce rework and audit risks.
Onboarding Hardware Engineers: Capturing Tribal Knowledge Fast
Learn how to accelerate onboarding hardware engineers by capturing design intent and tribal knowledge inside CAD workflows rather than relying on stale files.
AI for Mechanical Design Knowledge Retrieval
Learn how AI for mechanical design knowledge retrieval helps engineers surface past decisions, rationale, and CAD context before they reinvent the wheel.
Engineering Traceability for Complex Hardware Programs
Engineering traceability for complex hardware programs explained: how to link requirements, design decisions, and verification across multi-team development.
Engineering Change Order Process for Hardware Teams
Learn how hardware teams can run a faster, more traceable engineering change order process with clear workflows, tools, and practical guidance.
Traceability Matrix for Medical Device Design
How to build a traceability matrix for medical device design that satisfies FDA QMSR and ISO 13485, with tools and workflows that keep it audit-ready.
AI Engineering Change Impact Analysis Hardware
How AI engineering change impact analysis hardware teams use is cutting rework, automating BOM cascades, and preserving decision context in 2026.
Requirements Traceability for Aerospace Systems
How aerospace hardware teams handle requirements traceability for aerospace systems engineering — and where manual workflows break down under DO-178C and...
How to Link Requirements to CAD Changes
Learn how to link requirements to CAD changes using bidirectional traceability, passive tracking, and AI-native tools. Practical methods for hardware teams.
Hardware Design Audit Preparation Tools
The best hardware design audit preparation tools for 2026: what to evaluate, what to skip, and how to stop rebuilding evidence from scratch before every audit.
Defense Hardware Engineering Documentation Requirements
Defense hardware engineering documentation requirements are shifting fast. Here's what teams need to know about MIL-STD, DO-254, CUI, and AI-assisted...
Design Decision Record Engineering: Definition
A design decision record captures why engineering choices were made, not just what was decided. Learn the structure, benefits, and tools for hardware teams.
What Is Design Rationale in Engineering
Design rationale is the documented reasoning behind engineering decisions. Learn why it matters for hardware teams and how to capture it effectively.
Codebeamer Alternative for Hardware Engineering Teams
Looking for a Codebeamer alternative for hardware engineering? Compare top options for requirements traceability, CAD integration, and AI-native workflows...
DOORS Alternative for Hardware Engineering Teams
The best IBM DOORS alternative for hardware engineering teams in 2026. Compare modern tools that automate traceability, CAD integration, and compliance.
EV Hardware Engineering Traceability Requirements
How EV hardware teams use Tandem to maintain requirements traceability across battery systems, motor controllers, and power electronics.
Robotics Hardware Engineering Knowledge Management
How robotics hardware teams use Tandem to capture design decisions, maintain requirements traceability, and preserve engineering context across fast cycles.
Aerospace Design Review Documentation with AI
See how aerospace hardware teams use AI tools to automate design review documentation, capture rationale, and maintain requirements traceability for compliance.
Engineering Knowledge Graph for Hardware Teams
Learn how hardware engineering teams build an engineering knowledge graph to connect CAD, requirements, and decisions — and how AI tools automate it.
Automated Design Change Analysis for Hardware Teams
How hardware engineering teams use automated design change analysis to catch downstream impacts across CAD, BOMs, and requirements before they cause rework.
SolidWorks PDM Alternative for Hardware Teams
Hardware teams outgrowing SolidWorks PDM need more than file versioning. Compare the best SolidWorks PDM alternative options for 2026.
Engineering Drawing Release Checklist for Hardware
A practical engineering drawing release checklist for hardware teams, covering GD&T, revision control, DFM, and AI-assisted review workflows.
Engineering Change Notice Documentation Best Practices
Learn how hardware teams build reliable engineering change notice documentation, from change rationale capture to full BOM traceability.
CAD Requirements Traceability Matrix Automation
Manual RTMs drift from your CAD models within weeks. Here's how CAD requirements traceability matrix automation fixes that for hardware teams.
Preventing Engineering Rework Through Traceability
Requirements defects cause up to 85% of avoidable rework. Learn how preventing engineering rework through traceability works in practice.
Compliance Traceability for Regulated Hardware Teams
How hardware teams in aerospace, medical, and automotive maintain compliance traceability for regulated hardware engineering under ISO 26262, DO-254, and...
ISO 26262 Traceability for Automotive Hardware Teams
How automotive hardware teams use AI-assisted traceability to maintain ISO 26262 compliance across CAD changes, safety requirements, and verification evidence.
Engineering Handoff Documentation Best Practices
Engineering handoff documentation best practices for hardware teams: how to structure supplier, manufacturing, and cross-team handoffs that reduce rework.
AI Copilot for Mechanical Design Reviews
How AI copilot tools help mechanical engineers pre-populate checklists, surface requirements, flag open items, and capture design decisions during reviews.
Internal Knowledge Management for Engineering
Internal knowledge management for engineering teams is broken. Here's what mature systems actually look like and how to build one that works.
Engineering Decision Log Best Practices
Engineering decision log best practices for hardware teams: what to capture, when to log it, and how to stop relitigating the same choices every quarter.
How to Capture Design Intent in CAD Models
Learn how to capture design intent in CAD models automatically. Practical methods, tools, and workflows for hardware engineering teams in 2026.
Automated Verification Evidence Collection Hardware
Learn how automated verification evidence collection for hardware teams works, what tools to use, and how to stop losing compliance records between design...
Engineering Decision Documentation for Hardware Teams
A practical guide to engineering decision documentation for hardware teams: rationale capture, traceability, and the tools that make it work in 2026.
BOM-Linked Requirements Traceability for Hardware
How hardware teams maintain live BOM linked requirements traceability, what breaks without it, and how AI tools like Tandem automate the process.
Mechanical Engineering Institutional Knowledge Retention
Mechanical engineering institutional knowledge retention is a $4.2M/year problem. Here's how hardware teams stop losing it when senior engineers leave.
Engineering Change Order Approval Workflow Hardware
How hardware teams can fix broken ECO approval workflows, cut cycle times, and maintain traceability from ECR through implementation.
Polarion Alternative for Hardware Engineering Teams
Exploring the best Polarion alternative for hardware engineering teams in 2026, from AI-native tools to cloud PLM platforms built for mechanical workflows.
NX Design Decision Tracking for Aerospace Teams
How aerospace teams using Siemens NX track design decisions, rationale, and requirements traceability with AI — and where legacy workflows break down.
Bidirectional Traceability for CAD Engineering Workflows
Learn how bidirectional traceability for CAD engineering workflows links requirements to design changes and back, with methods, tools, and AI approaches.
AI-Powered Requirements Gap Detection Hardware
Learn how AI-powered requirements gap detection catches missing coverage, broken traceability, and spec ambiguity before hardware respins happen.
Knowledge Management for Distributed Engineering Teams
How distributed hardware engineering teams can stop losing context, capture design rationale, and build knowledge systems that actually stay current.
PLM vs PDM for Small Hardware Teams
PLM vs PDM for small hardware teams: understand which system fits your stage, budget, and bottlenecks before you buy anything in 2026.
Automated 2D Drawing Generation for Mechanical Teams
Automated 2D drawing generation in mechanical engineering saves hours daily. Learn which tools deliver and what context AI still can't replace.
Requirement Verification and Validation Hardware
Learn how requirement verification and validation hardware teams actually use traceability, tools, and AI to ship compliant products faster.
CAD Copilot for Hardware Engineers: What to Look For
Choosing a CAD copilot for hardware engineering? Learn what separates useful tools from hype, and what your team actually needs in 2026.
Supplier Handoff Documentation for Hardware Teams
Supplier handoff documentation in hardware engineering breaks down without structure. Here's how to fix it before rework costs hit $250K.
AI Drawing Release Review for Hardware Teams
How AI drawing release review is cutting hardware engineering cycles by 90%. What tools do, where they fall short, and what your team needs.
Engineering Change Order Documentation Software Guide
How hardware teams document ECOs and ECNs, link changes to requirements and CAD, and use AI to cut manual documentation burden.
Hardware Design Review Checklist for Engineering Teams
A practical hardware design review checklist for engineering teams—covering electrical, mechanical, manufacturability, and compliance review stages.
Design Review Action Items Template for Engineers
A practical design review action items template for hardware engineers. Learn what to capture, how to track decisions, and why context matters.
Knowledge Management for Engineering Teams
A practical guide to knowledge management for engineering teams: AI tools, CAD workflows, traceability, and what actually works in 2026.
Design Decision Log Template for Engineering Teams
A practical guide to design decision log templates for engineering teams: what to include, how to use them, and how AI tools can automate the hardest parts.
Cloud PLM for Small Teams: What to Look For
Cloud PLM for small teams doesn't need to be complex. Here's what actually matters when choosing a lightweight PLM for small hardware teams in 2026.
Engineering Design Review Template for Hardware Teams
A practical engineering design review template for hardware teams. Learn what to include, what to skip, and how to make reviews actually useful.
Hardware Engineering Documentation Best Practices
Hardware engineering documentation best practices for design reviews, traceability, and rationale capture. Learn what separates good docs from broken ones.
How to Document Engineering Decisions in CAD
Learn how to document engineering decisions in CAD workflows. Practical methods, tools, and formats that hardware teams actually use in 2026.
Requirements Traceability Matrix for Hardware Projects
Learn how to build and maintain a requirements traceability matrix for hardware projects, with tool comparisons and best practices for 2026.
Systems Engineering Design Rationale Software
Compare the best systems engineering design rationale software in 2026. Learn what to look for, what to avoid, and how teams capture decisions that last.
Compliance Documentation for Hardware Teams
Compliance documentation for hardware teams is broken when requirements drift from design. Here's how to fix traceability before your next audit.
Onshape Project Documentation with AI Knowledge Capture
Onshape project documentation loses context fast. Learn how AI knowledge capture keeps decisions, rationale, and requirements connected as designs evolve.
Design Review Documentation Best Practices for Hardware...
Design review documentation best practices for hardware engineering teams: how to capture rationale, maintain traceability, and reduce rework.
AI Platform for Engineering Knowledge Management
How AI platforms for engineering knowledge management help hardware teams capture decisions, maintain traceability, and stop losing critical design context.
Fusion 360 Design Documentation with AI Tools
Fusion 360 design documentation loses rationale fast. See how AI tools like Tandem keep decisions, requirements, and context connected as you build.
Design Decision Repository Software: Top Options
Compare the best design decision repository software for hardware engineering teams. See which tools capture rationale, improve traceability, and prevent...
Engineering Change Management Documentation Guide
Learn how hardware teams build engineering change management documentation that holds up under review, audit, and product evolution. Practical guidance inside.
Engineering Rationale Traceability: A Practical Guide
Engineering rationale traceability explained: what it is, why teams lose it, and how modern tools keep design decisions connected to requirements.
Design Change Tracking in Hardware Development
Design change tracking hardware teams rely on is broken. Here's how requirements traceability actually works in modern CAD-driven development.
CATIA Design Decision Tracking for Aerospace Teams
CATIA design decision tracking for aerospace teams: why context gets lost, what tools exist in 2026, and how AI closes the gap.
Lightweight PLM for Hardware Engineering Teams
Lightweight PLM for hardware engineering: what small teams actually need, which tools deliver, and where traditional PLM fails. Updated for 2026.
SolidWorks Design History Management with AI
SolidWorks design history management breaks down without AI. See how hardware teams capture decisions, trace changes, and stay audit-ready.
Arena PLM and QMS Alternatives for Growing Hardware Teams
Compare Arena PLM and QMS alternatives for growing hardware teams, and see which handle change control, quality records and design decisions.
Design Rationale Capture Tool: What Hardware Teams Need
Hardware teams lose critical design rationale every day. Here's what a real design rationale capture tool must do, and how to pick the right one.
Dassault ENOVIA Alternative for Hardware Startups
Looking for a Dassault ENOVIA alternative for hardware startups? Compare 6 lightweight PLM options built for small teams in 2026.
Siemens Teamcenter Alternative for Hardware Startups
Looking for a Siemens Teamcenter alternative for your hardware startup? Compare lightweight PLM options built for small teams in 2026.
Automated Engineering Context Management in CAD
Automated engineering context management keeps CAD decisions, requirements, and rationale connected. Learn how AI-powered systems prevent knowledge loss.
Design Decision Logging Software for Engineering Teams
Design decision logging software helps engineering teams capture rationale, avoid knowledge loss, and maintain traceability. Here's what actually works in 2026.
PTC Windchill Alternative for Small Hardware Teams
Looking for a PTC Windchill alternative for small hardware teams? Compare lightweight PLM options built for lean teams that move fast.
AI CAD Knowledge Base: How Hardware Teams Build One
Learn how hardware engineering teams build an AI CAD knowledge base to capture decisions, preserve design rationale, and maintain traceability.
Traceability Tools for Hardware Development Teams
Learn how traceability tools for hardware development keep requirements linked to design changes, reduce rework, and support compliance from concept to...
Requirements Management CAD Plugin: What to Look For
Choosing a requirements management CAD plugin? Here's what separates tools that work from tools that just add steps to your workflow.
CAD Integration for Requirements Management
CAD integration for requirements management keeps hardware teams aligned. Learn how bi-directional traceability reduces rework and keeps designs compliant.
Knowledge Capture Platform for CAD: What Hardware Teams Need
Hardware teams lose critical design context every day. Learn what a knowledge capture platform for CAD must do to keep engineering decisions recoverable.
Engineering Knowledge Loss Prevention Hardware Teams
Hardware teams lose 42% of project knowledge when engineers leave. Here's how to prevent engineering knowledge loss before it costs you months of rework.
Jama Software vs AI Requirements Management
Comparing Jama Software vs AI requirements management for hardware teams. See which approach fits regulated, CAD-driven engineering workflows in 2026.
Requirements Traceability for Hardware Teams in CAD
How hardware engineering teams use requirements traceability in CAD to stay compliant, catch changes early, and keep design intent from disappearing.
Capture Engineering Decisions Automatically in CAD
Learn how to capture engineering decisions automatically in CAD workflows, why manual logs fail, and which tools keep design rationale alive.
AI Tools for Traceability in Engineering Teams
How hardware teams use AI tools for traceability in engineering to link design decisions, requirements, and reviews without losing context.
Hardware Design Rationale Software: Top Options Compared
Compare the leading hardware design rationale software tools in 2026. See which options capture decisions, context, and traceability for engineering teams.
AI Tools for Traceability in Engineering
How hardware engineering teams use AI tools for traceability in engineering to link requirements, design changes, and decisions without losing context.
Requirements Traceability: Definition & Engineering Use...
Requirements traceability definition for engineering teams: what it means, how it works in hardware programs, and where most teams lose the thread.
Passive Design Decision Tracking in CAD: How It Works
Learn how passive design decision tracking in CAD works, why manual logging fails, and how automated tools keep engineering rationale intact.
Engineering Rationale Capture Tools: Why Teams Lose Context
Hardware teams lose critical design context every day. Learn how engineering rationale capture tools prevent knowledge loss and keep decisions traceable.
Requirements Traceability Software for Hardware Engineering
The complete guide to requirements traceability software for hardware engineering teams. Tools, workflows, AI trends, and what actually works in 2026.
AI Knowledge Management for CAD Workflows
A complete guide to AI knowledge management for CAD workflows: tools, real case studies, emerging trends, and what engineering teams need to know in 2026.