AI for NC Machining

AI for NC Machining uses industrial AI to accelerate NC programming, reuse proven machining knowledge and help programmers identify and optimize machining strategies while retaining control over validation and final output.

LEO, our Virtual Companion on the 3DEXPERIENCE agentic platform, works directly within your DELMIA Machining workflows. By combining virtual twin context with enterprise machining knowledge, historical programming information, standards and knowledge templates, LEO helps guide programming decisions, automate repetitive tasks and generate or optimize NC programming outputs. This allows programmers to spend less time searching for information and recreating existing work and more time focusing on manufacturability, optimization and complex machining challenges.

LEO fits the way your NC programmers already work:

1. Understand the machining requirement based on the part, feature, machine and available manufacturing context.
2. Reuse proven machining knowledge from previous programs, standards and knowledge templates instead of starting from scratch.
3. Generate the NC program or machining strategy, applying appropriate templates, identifying machining areas and sequencing operations where supported.
4. Evaluate and optimize the approach, including alternate toolpath strategies and machining parameters for operations such as pocketing and roughing.
5. Validate the program virtually, with the NC programmer reviewing, simulating and adjusting the proposed result.
6. Release a production-ready program, while the knowledge generated through the process can be reused across future parts, machines and teams.

LEO goes beyond generic AI chatbots and computer-aided manufacturing (CAM) copilots by connecting machining decisions to the broader manufacturing context. Rather than operating as a point assistant within a single CAM environment or relying on one shop’s history, LEO combines virtual twin context, DELMIA workflows, product and resource data and enterprise machining knowledge to turn proven know-how into governed, reusable knowledge across parts, machines, programs and teams.

While other AI tools can generate toolpaths, in addition to that, LEO helps make the machining organization more capable by standardizing expertise, reusing proven practices and supporting programmers with context-rich recommendations — while keeping them responsible for review and validation. 

Your data is hosted in the geographic region and cloud operating model selected for your service, based on your regulatory requirements, sovereignty expectations and sensitive data protection needs. Depending on the offering, this may include a private cloud, public cloud or dedicated cloud environment deployment.

The Virtual Companions’ intensive computations run in dedicated AI factories. All data exchanges are encrypted and protected through continuous network monitoring, identity and access controls and threat detection.

Where supported by the service architecture, data used for AI computation is processed transiently and not retained in the AI factory. These technical and architectural safeguards protect your data throughout its lifecycle. Applicable certifications and hosting conditions are specified for each service and region.

No. Your data remains your property. Our Virtual Companions consult your patrimony (data, design rules, history) to assist you, but it is never used to train a shared model. If you choose to specialize a model with your data, the result lives exclusively within your own environment.

LEO isn’t a chatbot reasoning from generic, public information. It’s designed to work from your industrial context rather than relying solely on a general-purpose language model. For NC machining, that context can include the DELMIA virtual twin, enterprise knowledge and know-how, historical programming data, NC programming standards, industrial policies, prior programs and company knowledge templates. The answers LEO produces are grounded in the actual manufacturing environment: The part, machine, tooling, material, process and company machining knowledge.

Equally important, even with LEO at the side, the programmer doesn’t simply accept an AI-generated program and send it to the machine. The programmer reviews, simulates, adjusts, validates and owns the final output. That combination of contextual grounding and human validation is central.

Contact us through the form. An expert will evaluate your NC programming needs and determine whether a three-month, outcome-driven pilot program is right for you. Together, you’ll explore new AI capabilities, apply them to your own data and workflows and see their impact firsthand on your existing processes. Along the way, you’ll also build reusable assets — from examples and use cases to templates and scripts — that you can continue developing beyond the pilot program.