Nora Prima | Hero Concept V3

Nora Prima AI

AI that understands and acts across your product lifecycle

Lifecycle-aware AI for BOMs, changes, documents, suppliers, and release workflows, built to work inside Nora IPLM instead of beside it.

Nora Prima
Context-aware agent
Nora Prima AI main interface

Connected lifecycle context, chat-driven analysis, and governed product decisions in one working interface.

Nora Prima AI Agent
Nora Prima AI

One AI layer across product context, governed decisions, and lifecycle operations.

Dynamic Context

Understand the real product context before answering.

Prima automatically detects open widgets, available objects, selections, metadata, relationships, dependencies, revisions, and states so teams can analyze the real workspace instead of isolated text.

  • Analyze BOMs together with requirements and tasks
  • Use platform commands like Analyze with Prima from selected records
  • Search and reason across active lifecycle context in one step
What You Can Do

AGENT capabilities across product lifecycle work.

A

Analyze

Evaluate product data across the lifecycle.

  • BOM health and structure integrity
  • Requirement coverage and impact
  • Data quality issues and risk signals
G

Generate

Reduce manual documentation and reporting work.

  • Summaries and lifecycle reports
  • Change explanations and review drafts
  • Knowledge-ready output formats
E

Explain

Clarify why decisions, revisions, and changes happened.

  • Lifecycle transition reasoning
  • Revision difference summaries
  • Root-cause style explanations
N

Navigate

Move through connected product knowledge faster.

  • Find objects and surface relationships
  • Query lifecycle information in place
  • Highlight answers inside active widgets
T

Track

Monitor progress and operational signals continuously.

  • Change status and requirement completion
  • Quality trends and risk movement
  • Stalled workflows and readiness gaps
Governed AI

AI that operates inside your PLM governance.

Prima works within existing PLM rules, permissions, and lifecycle logic. That is a core differentiator from general-purpose AI tools operating on disconnected text.

Useful in real workflows

Dynamic context selection, chat history search, platform and enterprise RAG, guided prompt templates, and widget-level actions keep the agent embedded in daily engineering work.

Embedded in the interface

Pin Prima to the right side, use floating mode, speak requests with voice input, search previous chats, and run commands like “Analyze with Prima”.

Lifecycle-grounded reasoning

Analysis stays tied to objects, relationships, states, revisions, and history instead of collapsing work into flat text prompts.

Reusable AI controls

Standardize how teams use AI across projects with repeatable templates, secure data boundaries, and governed workflow outputs.

AI integration in PLM system

Governance is built into the operating model: Prima works within the current user session, respects tenant boundaries, and keeps every analysis tied to real product objects, relationships, revisions, and lifecycle state.

Prompt Templates

Run repeatable AI workflows across lifecycle data.

Prompt Templates are positioned as structured starting points for common PLM work. They replace blank-prompt behavior with lifecycle-aware, permission-aware workflows that produce review-ready outputs.

Prompt templates library Prompt template categories

Templates are organized by workflow area and automatically inherit the context from the active tab and open widgets.

What the templates cover

BOM management, change management, task and project management, document intelligence, quality and compliance, and analytics and reporting.

Why they matter

They reduce variability in how AI is used across teams, speed onboarding, keep outputs consistent, and turn AI into a standard part of daily PLM work instead of an exploratory side tool.

How they behave

Users can run templates instantly, refine them, or create their own workflow-specific variations while keeping dynamic context selection and governed retrieval in place.

Architecture

AI-native PLM infrastructure behind Prima.

Prima operates on connected product knowledge rather than disconnected files, combining platform retrieval, tenant intelligence, workflow context, and lifecycle structure in one reliable AI foundation.

AI architecture behind Prima

Connected product knowledge

Platform-level retrieval, tenant-specific intelligence, contextual recommendations, secure AI boundaries, and explainable insights replace disconnected file analysis.

Why Prima is different

Why Prima is different

Context-aware instead of prompt-driven, built on structured product knowledge, capable of multi-object reasoning, embedded in workflows, and able to analyze platform data directly.

Launch Now

Transform PLM work from stored information into operational intelligence.

Start with free trial

Use Nora Prima where the real product context already exists.

Start your 30-day free trial to move from concept work into an actual product flow.

Built for daily engineering work

Context, governance, templates, and automations in one page.

Move from product questions to governed answers, reusable workflows, and continuous lifecycle monitoring without leaving the PLM context.

This is a staging environment