Artificial Intelligence

Industrial AI Built on Trust

We build AI into our products the same way we build the products themselves — with accountability, traceability, and the demands of safety-critical engineering as the starting point, not an afterthought.

Our AI Principles

Principles

AI That Works The Way Regulated Engineering Does

Contextual, Not Generic

Suggestions are grounded in your Polarion data — your requirements, your system specs, your project history. Not a language model's best guess about a hypothetical product.

Traceable By Default

Every AI suggestion and every engineer decision is logged inside Polarion. When an auditor asks how a risk rating was determined, the answer is already there.

Your Data Stays Yours

No customer content is shared, pooled, or used to train shared models. Your FMEA data, hazard logs, and traceability records never leave your environment.

Engineer-Led, Always

AI provides suggestions. Engineers review, validate, and decide. No AI component autonomously changes or approves a safety or security outcome.

How It Works

AI Proposes. You Accept, Edit, or Reject.

1 — Identify a Gap

Select a row where a hazard, cause or control is missing — or let the assistant surface gaps, inconsistent ratings and orphaned links across the sheet.

2 — Review the Evidence

Every suggestion arrives with its reasoning and sources — your project history and the standards context it was drawn from.

3 — Commit to the Record

One click applies human-approved content as a live Polarion link — versioned, permission-controlled, immediately audit-ready.

The Sign-Off Stays Human

Every decision is stored in Polarion with the engineer who made it. AI does not sign off — on anything.

AI-Powered Solutions

Work Smarter with NEXTEDY AI Assistant

Nextedy AI Assistant for RISKSHEET

An engineering assistant that understands FMEA, HARA and TARA — and proposes rows, causes and controls from your own project history.

Nextedy AI Assistant for POWERSHEET

An assistant that knows your traceability ontology — it surfaces missing links, uncovered requirements and orphaned tests before your reviewer does.