Failure mode analysis, automated
Automate DRBFM and failure-mode reviews for hardware design changes. Reduce late-stage surprises, delays, and warranty risk.
The problem
Why today's design reviews fail
Critical engineering processes held back by outdated tools
Manual spreadsheet workflows
DRBFM and FMEA processes rely on disconnected Excel files
Repetitive data entry
Inconsistent wording and duplicated effort across programs
Missed failure modes
Critical risks discovered late in validation cycles
Inefficient reviews
Large meetings with poor action tracking and follow-up
No knowledge reuse
Lessons learned are not centralized or accessible
Time pressure
Engineering teams racing against program deadlines
The solution
What FailureMode.ai does
Automates the most repeated reliability workflow in hardware development
Auto-drafts DRBFM tables
Generates failure-mode tables from design change descriptions
Identifies missing risks
Surfaces overlooked risks and weak assumptions
Standards-aligned
Ensures consistent terminology and format compliance
Prioritizes by impact
Ranks issues by engineering and business significance
Review-ready docs
Generates formatted reports ready for stakeholders
Tracks actions
Maintains accountability across design iterations
Modern workflow software for reliability engineering — not a generic chatbot.
Process
How it works
Three steps from design change to review-ready analysis
Describe the change
Upload or describe the design change and relevant context
AI analyzes failure modes
Structured reasoning grounded in engineering logic
Review and finalize
Engineers review, adjust, and export documentation
Use cases
Who it's for
Built for teams who take design reliability seriously
Automotive & EV suppliers
OEMs and tier suppliers managing design validation
Aerospace & industrial
Teams with rigorous compliance and safety requirements
Electronics & robotics
Fast-moving hardware development cycles
Reliability engineers
Individual engineers and enterprise teams
Timing
Why now
Industry pressures and AI capabilities converge
Loss of senior engineering talent creates knowledge gaps
Hardware programs face increasing complexity and speed pressure
Teams are fatigued by Excel-driven processes
AI reasoning is finally capable of structured engineering workflows
Support
Frequently asked questions
See FailureMode.ai in action
Schedule a walkthrough or start a conversation with our team.
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