Enterprise AI for Intel Design & Engineering

The knowledge that runs Intel already lives in your systems of record. Your AI should reach it.

1AI unified your front door. But your engineers’ knowledge, specs, verification data, prior art, is still trapped across PLM, MES, and CAD. Copilots reach the collaboration layer. The answers live deeper.

Cummins Siemens Airbus logo alstom BASF

Sinequa reaches the design and engineering knowledge Intel’s other AI tools can’t — indexed at depth, security-trimmed, traceable to source. Already proven in environments as complex as yours.

The knowledge that runs Intel lives in systems of record. Your AI should too.

In design and engineering, the answers your teams need aren’t sitting in chat threads and shared drives. They live in silicon design data, PLM, verification results, test matrices, quality records, and decades of prior art. Those are exactly the systems of record a general-purpose copilot was never built to reach which is why AI is only as useful as the systems it can index.

You’ve already proven the model. 1AI unified your GenAI front door and gave Sales and Marketing specialized agents under one governed platform. Design and engineering are the next business unit and they carry the hardest data problem in the company.

Sinequa reaches the systems of record where your engineering knowledge actually lives, not just the collaboration layer your copilots can talk to.


Talk to your rep →

What an enterprise AI platform for design & engineering actually needs

Demos and connector lists rarely surface the differences that decide a real deployment.

1

Reach into your systems of record.

Silicon design data, verification results, test matrices, PLM, and CAD libraries, not just the collaboration layer. Most AI can’t reach them.

2

Depth, not just a connector.

A connector says “supported.” Real indexing means reading the complex engineering data itself, so an engineer can trust the answer, trace it to source, and act on it.

3

Deployment control.

Cloud, hybrid, on-premise, or air-gapped. For an environment with Intel’s IP sensitivity, deployment control is a requirement, not a preference.

4

Cross-domain, cross-language retrieval.

Global engineering teams work across languages and sites. Knowledge should surface regardless of where, or in what language, it was authored.

5

Relevance tuned to your vocabulary.

Process nodes, design rules, verification terminology: your terms. Generic relevance and engineering relevance are not the same thing.

6

Governance at scale.

Document-level access enforced at query time, so an answer never exposes what a user isn’t cleared to see. Full audit trail, the governance discipline 1AI was built on.

These requirements are drawn from the patterns we see across the industry’s most complex deployments. Read the State of Enterprise Agentic AI 2026 →

Video

See how Sinequa indexes the systems of record Intel’s engineering knowledge lives in.

Watch how engineering teams query design data, specs, and verification results and get answers an engineer can trust. Ready to see it in your environment?

Book a custom demo →

Simple questions. Strategic impact.

These aren’t search queries, they’re the multi-step questions your engineers ask every day, where the answer is buried across design, verification, and quality systems. Each one below shows the question and what Sinequa returns: a quick, reliable answer that saves weeks.

Prior design & reuse

“Show me all prior designs and verification results relevant to this block that passed qualification.”

Candidates returned with design history, test coverage, and compliance docs, in seconds.

Change impact analysis

“What’s the impact of changing this spec on the dependent blocks?”

Affected designs, linked test procedures, and downstream dependencies mapped.

Coverage gaps

“Flag mismatches between the design verification plan and the test matrix.”

Coverage gaps surfaced before they reach silicon.

Strategic sourcing

“Rank qualified suppliers for this component by lead time and cost per unit.”

Ranked, sourced, and traceable, directly relevant to decisions.

Proven in the engineering enterprises that define the industry

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.

Download the Study →

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 

Link

Built for the systems Intel already runs

Sinequa connects to 200+ enterprise applications and 300+ file formats, including 2D/3D CAD, with no custom coding. From PLM systems and CAD libraries to SAP, SharePoint, and Teams, Sinequa indexes and enforces your existing permissions, so every engineer and every AI agent sees only what they’re authorized to see.


Explore our connectors →

Talk to your Representative

Mathieu Moffat
Sales Manager

mmoffatt@chapsvision.com

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 Intel’s toughest knowledge problems.

Inform New York 2026

Join CIOs, CTOs, data and business leaders for a day focused on operational, governed agentic AI. Discover how enterprise leaders are putting trusted agentic AI into production through keynotes, product deep-dives, and breakout sessions.

Request my seat →

Space is limited. All registrations are subject to approval.

About ChapsVision

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.