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.
Agent Hive for engineering
Bring simulation results, product data, quality records and test evidence together before your engineers decide what happens next.
Agent Hive pulls the relevant records into one case, so engineers can judge the evidence instead of hunting for it.
Evidence across your tools
Shared engineering context
One case to reviewThe affected part, its revision, the evidence and what happened before
Specialists investigate
Each specialist checks a different part of the evidenceEngineer review
Check the sources, challenge the reasoning and decide what happens nextApproved next step
Update PLM, QMS, ERP or the issue trackerYour engineering tools stay the source of truth. Agent Hive helps your team see the relevant evidence together.
Start with a real issue, use the systems your team already relies on and keep approval with the right engineer.
Engineering investigation
Pull the right configuration, requirements, simulation results, test data, related issues and past decisions into one investigation.
Simulation review & design iteration
Review the result alongside geometry, loads, assumptions, requirements and earlier studies. The full solver stays the final check.
Non-conformance investigation & disposition
Bring together the affected part, supplier records, quality history, similar cases and technical evidence before an engineer chooses the disposition.
Engineering change intelligence
Connect the proposal to affected assemblies, requirements, previous analysis, open issues and the validation work still to be done.
Solution 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.
This is a proposed workflow, not a customer case study or completed deployment. It does not claim production results.
Read the full blueprintThe evidence changes by workflow. The underlying context, agents, evaluation and controls stay the same.
Private engineering environment
Keep engineering data, identity and audit records inside your environment, with access only to approved model endpoints.
Customer VPC boundary
Controlled engineering network
Connect the engineering systems you approve while data and model access stay inside your network.
On-premises engineering network
The first questions are usually about control, evidence and where the final decision sits.
No. They remain the systems of record. Agent Hive brings the relevant evidence together for the question your team is working on.
An authorized engineer. Agents can gather evidence and prepare a recommendation, but the responsible team makes the decision.
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.
Yes. Agent Hive can run in a private cloud, VPC or on-premises, depending on your security and integration requirements.
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
We will work through the evidence, the people involved, the review points and where Agent Hive should run.
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