Skip to content
QpiAI Agent Hive

Agent Hive for engineering

Make engineering decisions with the full picture.

Bring simulation results, product data, quality records and test evidence together before your engineers decide what happens next.

Engineering questionWhat does the evidence tell us?
CADGeometryPLMRevisionCAEResultsRequirementsLimitsQMSNC historyTestsEvidence
Shared engineering contextComponent 7ARevision, evidence and decision history
Decision ownerEngineer reviews the evidence

One engineering decision can span half a dozen systems.

Agent Hive pulls the relevant records into one case, so engineers can judge the evidence instead of hunting for it.

Evidence across your tools

CADGeometryPLMRevisionCAEResultsRequirementsLimitsQMSNC historyERPOperationsIssuesOpen workReportsFindingsTestsEvidence

Shared engineering context

One case to review

The affected part, its revision, the evidence and what happened before

ConfigurationEvidenceHistory

Specialists investigate

Each specialist checks a different part of the evidence

Engineer review

Check the sources, challenge the reasoning and decide what happens next

Approved next step

Update PLM, QMS, ERP or the issue tracker

Your engineering tools stay the source of truth. Agent Hive helps your team see the relevant evidence together.

Pick a workflow your engineers know well.

Start with a real issue, use the systems your team already relies on and keep approval with the right engineer.

Engineering investigation

When something fails, start with the whole story.

Pull the right configuration, requirements, simulation results, test data, related issues and past decisions into one investigation.

IssueFailure or anomaly
RetrieveConfiguration and revision
CompareSimulation, test and history
ValidateEngineer tests the finding
ActCorrective engineering action
Reference workflowIssue or non-conformance
  1. GatherDesign, simulation and quality records
  2. InvestigateAgents check the relevant evidence
  3. PrepareFindings and sources stay together
  4. DecideEngineer approves, revises or escalates
  5. UpdateApproved action goes back to the right system

Solution blueprint

Engineering Intelligence Blueprint

A practical look at how Agent Hive can support FE review and non-conformance work while your existing tools and engineers stay in charge.

  • FE analysis and design iteration
  • Non-conformance disposition
  • Engineering validation

This is a proposed workflow, not a customer case study or completed deployment. It does not claim production results.

Read the full blueprint

One platform, adapted to engineering work.

The evidence changes by workflow. The underlying context, agents, evaluation and controls stay the same.

Agent Hive platform
  1. Enterprise Context

    Bring product structure, requirements, simulation results, quality history and past decisions into the same case.

  2. Agent Orchestration

    Give each agent a clear job, from finding records to preparing an approved update.

  3. Evaluation & Improvement

    Test the workflow on known cases and improve it with engineer feedback.

  4. Governance & Deployment

    Set who can see, review, approve and write back at every step.

Private engineering environment

Run Agent Hive inside your private cloud or VPC.

Keep engineering data, identity and audit records inside your environment, with access only to approved model endpoints.

Customer VPC boundary

Engineering teamsSSO and permissions
Agent HiveContext, agents and audit
Approved modelsPolicy-controlled access

What engineering teams usually ask us.

The first questions are usually about control, evidence and where the final decision sits.

Does Agent Hive replace CAD, PLM, CAE, QMS or ERP?

No. They remain the systems of record. Agent Hive brings the relevant evidence together for the question your team is working on.

Who approves the engineering decision?

An authorized engineer. Agents can gather evidence and prepare a recommendation, but the responsible team makes the decision.

How are simulation recommendations checked?

The recommendation is checked against agreed engineering criteria, its source evidence and the specialist tools your team already uses. Use the full solver whenever the decision requires it.

Can engineering data stay in our controlled environment?

Yes. Agent Hive can run in a private cloud, VPC or on-premises, depending on your security and integration requirements.

Is the Engineering Intelligence Blueprint a customer case study?

No. It shows how the workflow could be designed. It is not a completed deployment and does not claim customer results.

Start with a workflow your engineers already know

Bring us the engineering workflow your team still reconstructs manually.

We will work through the evidence, the people involved, the review points and where Agent Hive should run.

Book a demo