ISO 26262 · IEC 61508 · ISO 13849 · Automotive & Robotics

Engineering is sociology.
Engineering focus begins
when friction disappears.

Functional safety fails when domain SMEs are consumed by repetitive Q&A and manual documentation. SaferEngineer shifts the burden—empowering FuSa engineers to analyze independently while challenging domain experts to fortify true system weaknesses.

100+
Safety Cases Approved
70%
Efficiency Gain
3yr+
Avg. Client Engagement
KR/DE/US
3 Countries

The human bottleneck in Functional Safety

FuSa is inherently a sociological challenge. System, HW, and SW engineers view FuSa as an intrusive distraction—not because they don't care about safety, but because the process drains their energy.

01 —
SME Interruption Fatigue

Busy domain experts are constantly interrupted by repetitive questions and manual data collection. Being treated as human data stores creates friction and resistance toward safety activities.

Organizational Friction
02 —
The "Paperwork" Trajectory

When safety work is forced as administrative compliance, engineers default to defensive responses. Real architectural weaknesses remain hidden under generic failure mode checklists.

Compliance Trap
03 —
FuSa Engineer Dependency

Safety engineers lack the tooling to analyze code or schematics independently. Over-reliance on domain leads for every basic input turns FuSa into a perpetual project bottleneck.

Analysis Bottleneck
04 —
Lack of Technical Challenge

Without concrete, realistic failure scenarios presented upfront, moderation sessions devolve into debates over terminology rather than challenging and fortifying system dependability.

Missed Engineering Value

Independent FuSa analysis.
Meaningful engineering challenge.

Beyond empty '100% AI' promises, we empower safety engineers with AI-assisted workflows—enabling rapid pre-analysis of software dependencies before entering formal moderation.

By presenting concrete, data-driven failure mode candidates instead of blank templates, we respect the time of busy SMEs.

Instead of asking trivial questions, we challenge engineers with real architectural edge cases—shifting functional safety from administrative friction to a true dependability engine.

ISO 26262 IEC 61508 ISO 13849 ASIL D AST Parsing Independent Analysis SW FMEA / DFA FMEDA SME-Centric Workflows Dependability Engineering
01
Liberating Domain Engineers
We eliminate repetitive documentation and trivial Q&A. Domain SMEs are engaged only when precise technical judgment or architectural fortification is required.
02
Autonomous FuSa Execution
Equipping FuSa engineers with deterministic parsing and AI-assisted analysis tools so they can extract signal chains, FIT rates, and failure modes without blocking SW/HW teams.
03
Challenging System Weaknesses
We present realistic, signal-aware failure scenarios upfront. This forces constructive technical debate that exposes true design gaps rather than satisfying superficial paperwork.
04
Sociology-Aware Integration
We align safety processes with developer culture. By respecting engineering bandwidth, we transform organizational resistance into active safety ownership.

Two modes. One outcome: high-dependability release.

Whether embedding expert capacity or equipping your internal team with independent analysis tools, we remove organizational friction.

Mode A
Embedded Senior Engagement
Mode B
Autonomous Analysis Toolset
What
We lead FuSa execution with independent technical analysis
Conduct deep-dive SW/HW failure propagation analysis independently before running targeted, high-value SME review sessions.
Automated Software Interface & Dependency Tracing
Pre-parse code structures and signal chains automatically, allowing engineers to focus on critical safety analysis rather than manual data gathering.
Who
Teams facing heavy cross-departmental friction
Where SW/HW leads push back against safety meetings because they feel their time is wasted on basic documentation.
FuSa teams seeking technical independence
Safety engineers who want to analyze software architectures and hardware metrics autonomously before moderation.
Output
Defensible Safety Cases & Fortified Systems
Functional Safety Standards-compliant work products backed by genuine engineering consensus and verified safety mechanisms.
Concrete Failure Candidates & Traceability
Pre-populated, signal-filtered analysis tables ready for targeted expert sign-off and challenge.
Time
Immediate reduction in SME meeting hours
We eliminate 80% of prep meetings, focusing engagement strictly on critical safety decisions.
Rapid deployment into existing toolchains
Integrates smoothly with Excel, Jira, and Git repositories with zero IT friction.

What we deliver — specifically.

Independent FuSa execution that frees domain experts while satisfying safety standards-level rigour. Click each area to explore.

We manage the functional safety lifecycle without burdening domain teams. By independently tracking work products, mapping safety goals, and preparing safety cases, we keep programs on schedule while minimizing interruption to core feature development.

Safety Plan Safety Case SME-Light Lifecycle Tracking Release Readiness Argument

We run automated pre-consistency checks across all work products to catch traceability gaps, version mismatches, and unmapped requirements before formal review. This eliminates embarrassing audit findings and endless re-review loops.

Assessment Report Pre-Audit Consistency Matrix Structured Finding Report

Design changes happen constantly. We auto-compare modified code and architecture against existing safety cases, pinpointing the exact work products affected so domain leads never waste time re-verifying untouched modules.

Change Impact Report Targeted Traceability Update Scoped Re-verification Plan

We qualify custom and AI-assisted development tools under ISO 26262 Part 8 and IEC 61508. We build robust Tool Confidence Level (TCL) arguments and error-detection workflows that satisfy external assessors.

Tool Classification Report Qualification Plan & Report AI Tool Confidence Argument

We parse SW interfaces using AST trees and apply data-type specific HAZOP guide words (Boolean, Enum, Integer) to generate concrete failure mode candidates autonomously. We verify Freedom from Interference (FFI) across ASIL boundaries before bringing edge cases to SW leads.

AST-Parsed SW FMEA Data-Type Failure Catalogue FFI & Independence Report Safety Mechanism Mapping

Schematic to BOM extraction, datasheet derating, and FIT rate calculations (SN 29500 / IEC 62380) are automated. FuSa engineers map failure effects independently, allowing HW leads to focus solely on reviewing diagnostic coverage (DC) assumptions.

Automated FMEDA Sheet FIT Rate Derating Calculation SPFM / LFM / PMHF Metrics

From hazardous situation analysis to quantitative fault tree construction, we model system failure propagation from top-level safety goals to component-level failure modes, exposing single-point and common-cause vulnerabilities.

HARA & Safety Goals Quantitative FTA Diagram Common Cause Analysis (CCA)

We translate HARA outputs into Functional and Technical Safety Concepts. We define clear safety mechanisms, safe states, and degradation concepts that align with existing system architectures without forcing unnecessary redesigns.

Functional Safety Concept (FSC) Technical Safety Concept (TSC) FSR / TSR Requirement Sets Safe State Specifications
How to work with us

Three ways to transform your FuSa culture.

Whether training your safety leads in autonomous analysis, deploying local AI workflow kits, or running an end-to-end enterprise adoption program.

Professional Training
🎓
FuSa Activity × AI Workflow Training

Workshops for FuSa leads on how to perform independent code/BOM analysis using AI tools—eliminating repetitive SME questioning during FMEA, FMEDA, and Safety Reviews.

Join Training Waitlist
AI Agent Starter Kit
Autonomous FuSa Workflow Kits

Deploy our pre-built AST parsing, signal-aware HAZOP, and FMEDA automation kits directly into your Excel/Git pipeline for immediate efficiency gains.

Get Instant Launch Alert
Enterprise Program
🏢
Custom FuSa × AI Adoption Programs

A complete transformation program to integrate sociology-aware FuSa workflows into your engineering organization, establishing true safety autonomy and high-dependability releases.

Book Discovery Call

Real engineering impact. Measured in hours saved.

We measure success by reduced friction and eliminated re-review loops—not by document thickness.

70%
Efficiency Gain · HARA
Korean major Tier 1 Supplier · Chassis Products · ISO 26262
"The semi-automated analysis tool enabled our team to evaluate complex hazardous situations with incredible speed and objectivity. It eliminated endless debate and significantly raised the technical quality of our HARA."
Senior Functional Safety Engineer · Tier 1 Chassis Supplier
HARAASIL JustificationIndependent Analysis
69%
Efficiency · ASIL D Lifecycle
Global ASIL D Tier 1 Supplier · USA & EU · 3yr+ Engagement
"Re-Verification reviews dropped dramatically because inputs were pre-checked for consistency. Engineering work products became leaner, findings decreased, and developer frustration disappeared."
Safety Lead · ASIL D Global Steering Systems
SW FMEAFMEDAAudit ReadinessSafety Case
Senior Functional Safety Expert
ISO 26262 · IEC 61508 · ISO 13849 100+ Safety Cases Approved Korea · Germany · USA Automotive & Robotics
Heebeom Park
Founder · Senior Functional Safety Expert

SaferEngineer was founded on a simple realization: engineering is sociology. The best functional safety concepts fail when they create friction with domain engineers.

Having led global ASIL D programs across Korea, Germany, and the USA, I built our AI-assisted workflows to solve real project pain. We liberate busy SW/HW SMEs from trivial documentation and empower FuSa engineers to analyze independently.

We combine deterministic technical precision with AI acceleration—ensuring safety reviews challenge core system weaknesses rather than wasting time on paperwork.

Free your SMEs.
Fortify your system.
Safety Case-ready.

Tell us about your project, target standard, and current team friction. We'll respond with a concrete technical proposal within 48 hours.

Direct engineering conversation — no sales pitches
We evaluate where independent analysis can reduce SME friction
Clear roadmap for activity-level adoption

No sales pitch · Technical conversation · Response within 48h