Cimatron is bringing agentic AI directly into CNC programming with the launch of Cimatron CAM Agent, a new fully integrated machining strategy agent developed with Limitless Labs and set to make its debut at IMTS 2026 in Chicago.
For CNC manufacturers and CAM programmers, the important part of the announcement is what the software is being asked to do inside the programming workflow. Cimatron CAM Agent analyses part geometry and available tool libraries, identifies machining requirements, recommends machining strategies and generates complete 3-axis CNC toolpaths.
That moves AI deeper into one of the most expertise-heavy stages of CNC production: deciding how a component should actually be machined.
Cimatron CAM Agent Brings Agentic AI Into the CAM Workflow
Agentic AI is becoming an increasingly important development in manufacturing software because the technology can work through a sequence of tasks and decisions rather than responding to a single isolated request.
Within Cimatron CAM Agent, that means analysing the component and the manufacturing resources available to the programmer before building a machining approach around them.
Cimatron says the system can automatically recognise machining requirements, recommend suitable strategies and handle repetitive programming tasks. The resulting toolpaths remain inside the Cimatron environment, giving programmers a starting point that can be reviewed and refined before production.
The significance for machine shops is programming capacity.
CAM programming remains a major bottleneck for manufacturers running complex or highly varied components. A machining centre can only generate revenue once a reliable program reaches the machine, and expanding programming capacity normally means recruiting experienced people, training additional programmers or finding ways to remove repetitive work from the existing team.
Cimatron CAM Agent introduces another option. More of the initial programming process can be generated automatically from the geometry, available tooling and machining requirements of the job.
Cimatron Global Product Director Simone Bonino says the aim is to help manufacturers create faster and more consistent CNC programs, while allowing experienced programmers to spend more of their time on complex work and helping less experienced employees become productive sooner.
Why the Limitless Labs Collaboration Matters
The technology has been developed in collaboration with Limitless Labs, which is focused specifically on AI agents for precision manufacturing and CAM.
Limitless Labs describes its CAM technology as an AI agent capable of understanding manufacturing context, recommending CAM operations, selecting tools from a manufacturer’s existing library and generating editable toolpaths inside the CAM environment.
This is an important distinction for manufacturers assessing AI CAM systems. The value increasingly comes from how much manufacturing context the AI can use when making decisions.
Choosing a machining strategy requires knowledge of geometry, tooling, machine limitations, material, cutting conditions and the sequence in which operations should take place. Moving AI into these decisions is what begins to turn a general-purpose assistant into a manufacturing-specific programming system.
We have already seen similar movement across the CAM sector. MachineToolNews.ai has covered CloudNC bringing AI-generated machining strategies directly into GibbsCAM, while Siemens, Hexagon and other CAM developers are also embedding AI deeper into established programming workflows.
Cimatron CAM Agent adds another major CAM platform to that shift.
From Part Geometry to Complete 3-Axis Toolpaths
The most significant capability announced by Cimatron is the generation of complete 3-axis toolpaths.
The CAM Agent starts by analysing the part geometry and the tool libraries available to the manufacturer. It then identifies the machining requirements, recommends appropriate strategies and builds the toolpaths.
For programmers, this changes where a new job can begin.
Instead of manually working through every feature and building each machining operation from the beginning, the programmer can increasingly start with an AI-generated machining plan and concentrate on checking, modifying and optimising the decisions that have already been proposed.
That is particularly relevant for manufacturers dealing with high part variation, short lead times or a large queue of components waiting to be programmed.
MachineToolNews.ai has previously examined how AI toolpath optimisation is changing CAM programming. Cimatron CAM Agent pushes the discussion further because the AI is being applied earlier in the decision chain, from understanding the component through to creating the machining strategy and generating the resulting toolpaths.
Cimatron 2027 Adds SuperFinish and FeedOptimizer
CAM Agent will be demonstrated alongside new capabilities in Cimatron 2027, with Cimatron using IMTS to showcase wider improvements across mold and die design, CNC programming, machine simulation, electrode production, wire EDM and manufacturing data workflows.
Two machining technologies stand out alongside the AI announcement: SuperFinish and FeedOptimizer.
SuperFinish
Cimatron SuperFinish has been developed with ModuleWorks and is designed to calculate finishing toolpaths using exact surface geometry.
According to Cimatron, using the actual surface geometry rather than relying solely on a mesh approximation enables highly uniform, mirror-like milled surfaces without increasing machining time.
ModuleWorks has also highlighted SuperFinish on NURBS surfaces in its latest technology release, combining surface-based toolpath accuracy with the reliability required for demanding mold and die finishing applications.
For moldmakers in particular, this matters because finishing quality affects far more than appearance. Better surface consistency can reduce subsequent polishing requirements and shorten the route from machining to a finished mold or die.
FeedOptimizer
FeedOptimizer addresses another critical part of machining productivity.
The technology uses tool, machine and material data to determine the appropriate feed rate throughout the toolpath. Rather than applying the same cutting conditions regardless of how tool engagement changes, FeedOptimizer adjusts feed rates according to the cutting conditions encountered during the operation.
Cimatron says this can help reduce machining cycle times, extend tool life and protect machinery from excessive cutting loads.
Together, CAM Agent, SuperFinish and FeedOptimizer show where Cimatron is concentrating its development effort: reducing programming work, improving the quality of generated toolpaths and optimising what happens once those toolpaths reach the machine.
MTN Analysis:
Cimatron CAM Agent is one of the more important AI CAM announcements ahead of IMTS because it moves the autonomy boundary further into the actual creation of a CNC program.
Feature recognition and automated machining templates have existed in CAM for years. AI is now being applied to a broader chain of programming decisions.
Cimatron CAM Agent can analyse the part, consider available tooling, recognise machining requirements, recommend the strategy and generate complete 3-axis toolpaths.
Each additional decision that can be made reliably by the software reduces the amount of manual programming required between receiving a CAD model and producing a usable CNC program.
This is where agentic AI becomes particularly relevant to manufacturing.
A capable CAM agent can potentially work through a programming objective as a connected process. Geometry analysis informs feature recognition. Feature recognition influences machining strategy. The strategy determines tooling and operations. Those decisions then feed into toolpath generation.
The result is a much more autonomous programming workflow.
There are still important layers between automated toolpath generation and fully autonomous production. Workholding, setup decisions, post processing, machine-specific verification, collision avoidance, process stability, inspection requirements and the real condition of the machine and cutting tools all affect whether a program can safely make a component.
Experienced CNC programmers will therefore remain central to validation, optimisation and difficult manufacturing decisions.
What changes is the amount of programming work that has to begin manually.
That could have a major operational impact.
If an experienced programmer can supervise and refine several AI-generated programs in the time previously required to build one manually, programming capacity increases without requiring the manufacturer to immediately increase headcount.
For less experienced programmers, an integrated agent also provides a structured machining strategy to work from rather than an empty CAM project.
For experienced programmers, routine geometry and toolpath creation can consume less of the working day.
For manufacturing management, programming capacity becomes increasingly scalable through software.
That is why the Cimatron announcement matters beyond another AI feature appearing in a CAM package. It is part of a wider transition towards software taking responsibility for a greater percentage of the decisions required to turn a CAD model into a machinable program.
MachineToolNews.ai has been tracking this development across manufacturing copilots and industrial AI agents, and IMTS is likely to provide the clearest picture yet of how quickly CAM vendors are moving from AI assistance towards genuine programming autonomy.
Cimatron CAM Agent at IMTS 2026
Cimatron will demonstrate CAM Agent and the new Cimatron 2027 technologies at IMTS 2026, which takes place from September 14 to 19, 2026, at McCormick Place in Chicago.
Visitors can find Cimatron at Booth 133255.
The booth number is also confirmed in official IMTS exhibitor documentation.
AI is expected to be one of the strongest technology themes at this year’s event. Our wider IMTS 2026 industrial AI coverage looks at how AI is moving across CAM programming, CNC machining, robotics, inspection and production software.
For CAM programmers attending the show, Cimatron CAM Agent should be one of the demonstrations worth examining closely because it gives manufacturers the opportunity to see how far an integrated AI agent can currently take a component from geometry analysis towards a completed CNC machining program.
FAQ
What is Cimatron CAM Agent?
Cimatron CAM Agent is an agentic AI machining strategy tool integrated into Cimatron. It analyses part geometry and available tool libraries, identifies machining requirements, recommends machining strategies and generates CNC toolpaths.
Who developed Cimatron CAM Agent?
Cimatron developed CAM Agent in collaboration with Limitless Labs, a company developing AI agents for precision manufacturing and CAM programming.
What CNC toolpaths can Cimatron CAM Agent generate?
Cimatron’s official IMTS announcement states that the integrated CAM Agent can generate complete 3-axis CNC toolpaths based on the component geometry and available tooling.
Does Cimatron CAM Agent replace a CNC programmer?
The technology automates a growing portion of the programming workflow, particularly geometry analysis, strategy selection and toolpath generation. Programmers remain responsible for reviewing manufacturing decisions, validating programs and applying the process knowledge required for reliable production.
What is Cimatron SuperFinish?
SuperFinish is a finishing technology developed with ModuleWorks that calculates highly accurate finishing toolpaths from surface geometry. It is designed to deliver highly uniform surface finishes for demanding mold, die and precision machining applications.
What does Cimatron FeedOptimizer do?
FeedOptimizer uses tool, machine and material information to optimise feed rates across a toolpath according to changing cutting conditions. The aim is to reduce machining time, protect the machine from excessive loads and improve tool life.
When and where is IMTS 2026?
IMTS 2026 takes place from September 14 to 19, 2026, at McCormick Place in Chicago, Illinois.
What booth is Cimatron at IMTS 2026?
Cimatron will exhibit at Booth 133255.
Further Reading
Read Cimatron’s official CAM Agent and IMTS 2026 announcement for the company’s full details on CAM Agent, Cimatron 2027, SuperFinish and FeedOptimizer.
Explore Limitless Labs’ CAM Agent technology to see how its agentic AI platform approaches machining context, strategy creation, tooling and CAM toolpath generation.
See the MachineToolNews.ai guide to IMTS 2026 industrial AI for more of the CNC, CAM and manufacturing AI technologies heading to Chicago.
Read our analysis of AI toolpath optimisation in CAM software for a deeper look at how intelligent software is changing machining strategies, cutting conditions and CNC programming.
See how CloudNC CAM Assist is generating CNC strategies inside GibbsCAM for another current example of AI moving directly into established CAM workflows.
Explore ModuleWorks’ latest CAM technology developments for additional technical detail on SuperFinish and physics-based machining optimisation.
