Safety-critical industries need AI that accelerates work without compromising integrity. NirmIQ puts you in control: bring your own AI provider, review every suggestion, and maintain full accountability.
No black boxes. No auto-commits. Every AI output passes through human review before it touches your engineering data.
NirmIQ doesn't lock you into a single AI provider. Connect your existing enterprise AI accounts and maintain full control over where your data goes.
Connect to OpenAI, Google Gemini, Anthropic Claude, or any compatible API. Switch providers anytime without losing work.
API keys are stored per-user and encrypted. NirmIQ never proxies your data through our servers — calls go directly from your session to your AI provider.
Different projects can use different AI providers. A medical device project might use a different model than an automotive project based on your compliance needs.
AI in NirmIQ is a productivity multiplier, not a replacement for engineering judgement. Every capability is designed to save hours of manual work while keeping engineers in the driver's seat.
Transform vague, ambiguous requirements into precise, testable engineering language. AI suggests improved wording following INCOSE and IEEE 29148 best practices.
Generate failure mode analyses from your requirements. AI suggests failure modes, effects, and causes — then engineers review, adjust severity/occurrence/detection ratings, and approve.
From a single requirement, AI suggests:
Import existing requirements documents (Word, PDF, text) and let AI extract structured requirements with hierarchy. Stop manually copy-pasting hundreds of requirements from legacy documents.
AI-assisted import handles:
When a requirement changes, AI helps assess the ripple effect across your project — which tests need re-running, which FMEA analyses need updating, and which downstream requirements are affected.
Change impact includes:
In safety-critical industries, "move fast and break things" is not an option. Every AI interaction in NirmIQ is bound by strict guardrails that cannot be overridden.
AI never writes directly to your engineering data. Every suggestion is presented for review. The engineer decides what gets accepted, modified, or rejected. There is no "auto-apply" mode.
Every AI-generated requirement, FMEA item, or analysis is clearly marked as AI-suggested. Nothing from AI has engineering authority until a qualified engineer explicitly approves it.
Your engineering data is never used to train AI models. When you use OpenAI or Gemini through NirmIQ, your data is sent for inference only and is subject to your provider's enterprise data handling policies.
Every AI interaction is logged: who requested it, what was sent, what was returned, and what the engineer decided. During an audit, you can trace every decision back to the responsible person.
Only the minimum necessary context is sent to AI providers. NirmIQ sends the specific requirement or component being analyzed — not your entire project database, not your organization's full data set.
Every feature in NirmIQ works without AI. AI is an accelerator, not a dependency. Organizations that prohibit AI tools can use NirmIQ with AI features completely disabled and lose zero functionality.
We designed our AI approach by asking: "What would a regulatory auditor need to see?"
Here's what you can demonstrate
Every requirement, FMEA item, and approval has a named engineer. AI-generated content is marked as such, and the approving engineer's name and timestamp are recorded. Electronic signatures (21 CFR Part 11) provide legally binding proof of review.
Yes, and here's the complete audit trail. You can see exactly what the AI suggested, what the engineer modified, and the final approved version. The AI accelerated the analysis; the engineer validated it.
Data was sent to [your chosen provider] for inference only, using your organization's enterprise API key with your provider's data retention and privacy policies. NirmIQ does not store, cache, or retransmit AI responses beyond the session.
No. Architecturally impossible. AI generates suggestions that are presented in a review interface. The engineer must explicitly accept, modify, or reject each suggestion. There is no automated path from AI output to committed engineering data.
Simply don't configure an API key. All AI features are disabled by default and require explicit activation. The platform is fully functional without AI — requirements management, FMEA, traceability, reporting, and electronic signatures all work independently.
A transparent, auditable process from request to approval
An engineer clicks "Rewrite with AI", "Generate FMEA", or "Import with AI". The action is always explicit and intentional.
Minimal data is shared with the AI provider via your API key. Your broader project data stays private and never leaves the platform.
The AI provider returns structured suggestions (rewritten text, failure modes, extracted requirements). These are displayed in a review interface clearly marked as AI-generated.
The engineer reviews each suggestion. They can accept as-is, modify the AI output, or reject entirely. Every decision is logged with the engineer's identity and timestamp.
Only engineer-approved content is written to the project database. The audit trail records: original text, AI suggestion, engineer's final version, and approval timestamp.
See how NirmIQ lets your team move faster without compromising the engineering rigour your industry demands.