Enterprise AI for Global Engineering
Your engineering knowledge is scattered — drawings, PLM, asset data platforms, inspection reports, and decades of technical documentation — spread across sites, business lines, and global technology centers.
In global engineering, the answers your teams need aren’t sitting in chat threads and shared folders. They live in engineering drawings, PLM, asset data platforms, ERP, inspection reports, supplier specs, and decades of technical documentation — systems of record general-purpose AI tools were never built to reach. And an AI assistant is only as useful as the systems it can actually get inside.
You’ve already seen the impact. Digital Project Home automated document review across a major capital project, saving tens of thousands of engineering hours on a single build. Agentic AI extends that value across your engineering estate, turning trusted technical content into fast, reliable answers.
Sinequa reaches the systems of record where your engineering and operations knowledge actually lives, not just the collaboration and office tools your teams talk in.
Demos and connector lists rarely surface the differences that decide a real deployment.
Drawings, standards, maintenance logs, capital project documents, and asset records live in PLM, ERP, document repositories, and asset data platforms, not the collaboration layer. Most AI can’t reach them.
A connector says “supported.” Real indexing means reading the complex engineering drawing itself — not just its metadata — so an engineer can trust the answer, trace it to source, and act on it.
Cloud, hybrid, on-premise, or air-gapped. For a global supermajor with distributed operations and strict controls, deployment is a requirement, not a preference.
Global engineering teams work across languages and sites. Knowledge should surface regardless of where, or in what language, it was authored.
Upstream, refining, chemicals, and low carbon each carry their own terminology. Generic relevance and engineering relevance are not the same thing..
Document-level access controls enforced at query time, across billions of documents, so an answer never exposes what a user isn’t cleared to see. Full audit trail of any action.
These requirements are drawn from the patterns we see across the industry’s most complex deployments. Read the State of Enterprise Agentic AI 2026 →
See how Sinequa indexes the systems of record ExxonMobil’s engineering knowledge lives in.
Watch how engineering teams query drawings, standards, asset records, and capital project documents and get answers an engineer can trust. Ready to see it in your environment?
Book a custom demo →
These aren’t search queries, they’re the multi-step questions your engineers ask every day, where the answer is buried across drawings, standards, asset, and maintenance systems. Each one below shows the question and what Sinequa returns. A quick, reliable answer to any of them saves weeks on a major capital project.
Candidates returned with compliance docs, design history, and asset data, in seconds.
Affected documents, linked procedures, and downstream standards mapped, compliance risks flagged.
Synthesized across drawings, reports, and procedures, the Digital Project Home pattern, extended by agents.
Ranked, sourced, and traceable, directly relevant to capital project decisions.
Backed by independent recognition from Gartner, Forrester, and SPARK Matrix™.
$0M
Productivity gains
$0M
Warranty avoidance
$0M
Development savings
Measured over three years.
NEW STUDY
The Forrester Total Economic Impact™ Of Sinequa AI-Powered Search
An independent Forrester Consulting study, built on a composite $20 billion enterprise, quantifies what a governed enterprise search and AI layer returns over three years: 299% ROI, $22.4M net present value, and payback in under six months. Based on interviews with five decision-makers across chemicals, manufacturing, life sciences, transport, and aerospace and defense.
With Sinequa, our engineers can ask a complex, multi-part question and get a concise answer plus the underlying evidence. That’s a game-changer for design, warranty, and failure analysis.
Oliver Scott Beard Principal Technical Architect – AI Systems, Cummins
Sinequa connects to 200+ enterprise applications and 300+ file formats — including 2D/3D CAD — with no custom coding. From PLM systems like PTC Windchill and Siemens Teamcenter to SAP, SharePoint, and Teams, connectors inherit and enforce your existing permissions, so every engineer and every AI agent sees only what they’re authorized to see.
A conversation about your current build — what’s working, where it’s stalling, and what a native-connector path looks like. A working session on Exxon’s toughest knowledge problems.
Trusted by over 2,000 customers across 40 countries.
ChapsVision is a global leader in agentic AI and data solutions. Trusted by over 2,000 customers across 40 countries, ChapsVision delivers industry-specific software solutions powered by agentic AI to meet the complex needs of data-intensive sectors. Its innovative and scalable Data & AI platform is powered by proven technology enablers that accelerate data acquisition, preparation, and analysis.
Driven by significant R&D investments in large-scale data and AI and supported by a targeted strategy of acquisitions and international expansion, ChapsVision has rapidly established itself as the trusted partner in agentic AI for business and government organizations around the world.
