Enterprise

Agentic AI for Manufacturing Operations 

Reduce downtime, break data silos, and empower engineers and technicians with AI agents grounded in manufacturing data. 

  • Agentic AI built for asset-intensive, engineering-driven environments
  • Deep research using your own procedures, manuals, and asset history instantly
  • Automated engineering workflows to reduce MTTR and operational delays
  • Governed AI built for industrial environments 

See how Enterprise Agentic AI works with your data, your security model, and your use cases. 

See Enterprise Agentic AI in Action

Fragmented Data, Slow Decisions

Manufacturing organizations struggle with: 

  • Data trapped in PLM, ERP, CAD, MRO, manuals, and service logs
  • Maintenance teams wasting hours finding repair procedures
  • Engineers unable to reuse past knowledge
  • Support staff lacking rapid, accurate answers 

Disconnected systems make it hard to act and expensive to stay idle.  

Agentic AI Grounded in Your Data

Sinequa’s Enterprise Agentic AI for Manufacturing delivers:

Actionable Insights at Point of Need

Automatically surface precise answers from: 
  • Engineering specs
  • Maintenance histories
  • Part documentation
  • Service manuals
  • Bill of materials

Faster Problem Resolution

Help field technicians and support teams:

  • Find solutions instantly
  • Reduce mean time to resolution (MTTR)
  • Enable self-service for repeat issues

Automate Engineer Workflows

Agents automate time consuming processes for engineers to: 
  • Optimize supply-chain logistics
  • Automate troubleshooting
  • Resolve issues proactively 

Why Leading Enterprises Choose Sinequa

  • Reduce downtime and errors across production lines
  • Accelerate engineering and design cycles
  • Improve maintenance & support performance
  • Surface tacit organizational knowledge automatically 
Manufacturers see faster innovation, higher product quality, and lower operational risk.

Experience Trusted Agentic AI in Action

See how our Enterprise Agentic AI platform works with your data, your security model, and your use cases.