Stop Searching. Start Solving. Agentic AI Built on Your Manufacturing Data.

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Stop Searching. Start Solving.

Agentic AI Built on Your Manufacturing Data

Give your maintenance engineers, field technicians, and support teams instant answers from PLM, ERP, CAD, MRO, and service logs without switching between 12 systems or waiting for an expert to be available.

Reduce mean time to resolution (MTTR) — AI agents surface answers from manuals, asset history, and service logs in seconds
Connect PLM, ERP, CAD, MRO, and maintenance records — no new data migration required
Automate repeat engineering workflows — from troubleshooting to supply chain escalations
Enterprise-governed AI — your data, your security model, your access controls
Trusted by ExxonMobil, Siemens, Airbus, and 200+ global manufacturers

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

The Hidden Cost of Fragmented Manufacturing Data

The average manufacturing engineer spends 2–3 hours per day searching for answers that already exist inside your organization.

The knowledge is in your PLM. In your ERP. In service logs, maintenance records, and engineering manuals written over decades. The problem isn’t that the data doesn’t exist — it’s that your teams can’t access it fast enough to act.

Every hour of delay is downtime. Every manual search is a workflow bottleneck. Enterprise AI should eliminate that. Sinequa’s Agentic AI does.

Agentic AI Grounded in Your Data, Not Guesswork

Unlike generic AI tools that hallucinate or guess, Sinequa’s Enterprise Agentic AI is built on Retrieval-Augmented Generation (RAG) — meaning every answer is traced back to a verified source in your enterprise data.

Your engineers and technicians get:

Answers sourced from your own PLM, MRO, and service documentation, not the internet.
Full citation trails — know exactly which document, version, and data source generated each answer.
Governed access controls — users only see answers from data they’re authorized to access.
Zero hallucination risk — every response is grounded in your verified enterprise content.

Sinequa’s Agentic AI for Manufacturing delivers:

Actionable Insights at Point of Need

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

Faster Problem Resolution

Help field technicians and support teams: Find solutions instantly, reduce mean time to resolution (MTTR) and enable self-service for repeat issues.

Automate Engineer Workflows

Agents automate time consuming processes for engineers to optimize supply chain logistics, automate troubleshooting sequences and resolve issues proactively before escalation.

Trusted by the World's Leading Manufacturers

Higher customer satisfaction through faster issue resolution

Hours saved per engineer per year

Faster Time-to-Market

Built for Every Manufacturing Team

Maintenance & Support

Technicians get instant answers from service manuals, asset histories, and maintenance records. Reduce repeat escalations. Cut MTTR. Enable self-service resolution on the floor.

Engineering & Design

Engineers surface past project knowledge, part specifications, and design decisions instantly. Stop reinventing solved problems. Accelerate design cycles.

Operations & Supply Chain

Operations teams get AI-powered answers across procurement, logistics, and compliance documentation. Make faster decisions with complete context.

Research & Innovation

R&D teams search across internal IP, test reports, and technical documentation in seconds. Connect institutional knowledge to new product development.

We lose a lot of time searching through our various databases and existing tools, along with drawings and technical documentation. We selected Sinequa’s search engine because of its high performance and the fact that it’s straightforward to index databases.

Frédéric Antoine, Technical Support Network Manager, Airbus Helicopters

Sinequa’s Intelligent Search platform’s in-depth analysis provides Alstom’s employees with a thorough understanding of unstructured data, including the text coming from very complex technical and normative documents. This allows greater efficiency and real time savings for Alstom’s data scientists.

Tristan Le Masne, Vice President Internal Audit & Internal Control, Alstom

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If Siemens only knew what Siemens knows; that was the initial challenge... now our employees find insight more efficiently - we're 30% faster with Sinequa.

Dr. Thomas Lackner, CTO Office, Corporate Technology, Siemens

See How Sinequa Works With Your Data

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