Lack of competent resources leads to quality drops and process bottlenecks.
Expert-in-the-loop + checklist-trained models that generate drafts and reviews, so scarce experts focus on decisions — not typing.
Manual safety analysis input creates review queues and delays.
Automatic SysML-style design specification generation from requirements and unstructured docs, infused with expert rules.
Severity, exposure, and controllability are hard to judge—ASIL/Safety Goals remain unclear with incomplete customer inputs.
Vehicle dynamics simulation and catalog-based hazard analysis automatically match S/E/C and propose quantitative ASIL results.
Re-review loops, schedule slips, and awkward audit meetings due to inconsistency.
Continuous cross-document consistency checks (Word, Excel, Jira, code) with traceable Reviewer metrics.
Generic AI outputs fail at cross-file consistency and audit-level precision.
Human-verified AI Reviewer with rule-backed checklists and automated status reports via Jira, PTC, SVN, and SharePoint.
Achieve expert-level, generation-quality outputs that generic LLMs cannot deliver — with consistency, traceability, and compliance built in.
Cut hours of document summarization and consistency checks. Ask direct questions to the Reviewer and get answers instantly — freeing engineers to focus on meaningful work.
Reduce reliance on expensive external reviews and consulting. Save both time and budget while maintaining expert-level confidence.
With SaferEngineer, you gain the accuracy of a seasoned safety consultant and the speed of AI automation — accelerating reviews, improving consistency, and lowering operational costs.
Achieve human-grade, generation-quality results that generic LLMs can’t match. Our Reviewer combines AI precision with real engineering expertise for dependable, audit-ready outputs.
Automatically summarize and check consistency across thousands of documents. Ask questions directly to the AI Reviewer and get instant answers — letting your team focus on meaningful design work, not document chasing.
Replace expensive external consulting loops with continuous AI-assisted reviews. Unlike theory-driven compliance coaching, our experts bring hands-on know-how from global programs — providing depth no AI alone can deliver.
Extract and structure design-related information across repositories and tools.
Automatically create SysML models, HARA, FMEA/FTA, and Safety Case drafts from analyzed data.
Human experts review and validate AI outputs to ensure accuracy and compliance readiness.
Deliver audit-ready safety cases and metrics for multiple OEM and program portfolios.
SaferEngineer is led by a senior functional safety expert with hands-on experience in functional safety. We combine AI tooling with practical, implementation-level consulting to help your team deliver real projects – not just slideware.
Coaching and co-authoring from item definition to release, including safety plan, safety case, and assessments.
Upload safety case documents, HARA, FMEA, and test reports. Our Reviewer flags issues; we walk through the findings with you.
Use your existing spec and architecture as input. We generate first drafts you can refine instead of starting from a blank sheet.
Support for ISO 26262 tool confidence arguments and documentation around AI-assisted workflows.
We don’t avoid objections — we design our service around them.
We combine automation and expert judgement in two clear steps:
The result: AI gives you speed and coverage, while our experts ensure that the final output is realistic, defensible, and audit-ready.
We do not treat AI like a generic chatbot and hope for the best. Our workflow is built to minimize hallucinations and put accuracy first:
AI boosts coverage and highlights issues humans might overlook, but the final quality is guaranteed by expert verification, confirmation review, and significantly fewer re-review iterations.
We treat your design data as safety-critical and business-critical, not as “just another dataset”.
In short: we design the technical and legal setup so your data is never exposed to other customers or public models.
No. Our goal is to make your experts more effective, not obsolete.
Think of our service as an “AI co-pilot plus senior reviewer” that lets your team spend their time where human judgement really matters.
Not every part of functional safety delivers the same return from automation. Our approach is to automate the high-frequency, high-repetition, and low-leverage tasks — the areas where AI delivers massive time savings without sacrificing engineering judgement.
In short, we automate the parts where AI is a force multiplier and leave the strategic, judgement-heavy decisions to your experts — achieving the optimal balance of speed, quality, and control.
Share a short description of your project, standards in scope, and timeline. We’ll respond with a concrete proposal – implementation, tool support, and pricing.
