AU Class
AU Class
class - AU

Bridge the Construction/Manufacturing Gap with Inventor Product Templates

Share this class
Search for keywords in videos, presentation slides and handouts:

Description

Construction professionals are often burdened with the repetitive work involved in creating mechanical product templates for use by design and construction. By shifting from a “creating projects” to a “creating products” mindset, business logic and fabrication rules can be used to impact and influence the construction process. In this session, we will use relevant examples and a multitude of best practice tips to show you how you can do this successfully. An actual Autodesk customer will also join this session to share insights and experiences from their journey toward smarter and more scalable, repeatable processes.

Key Learnings

  • Learn how to create a more collaborative working relationship between designers’ Revit and manufacturers’ Inventor
  • Learn how to successfully start looking at prefabrication as a product and not a project
  • Learn how to build product templates that you can reuse on every relevant project
  • See this process in action and learn Autodesk’s best practices for template building

Speakers

  • Avatar for Andy Akenson
    Andy Akenson
    Andy is a Distinguished Software Architect at Autodesk. His main focus is Industrialized constructing bringing our manufacturing and construction portfolio together to help change the industry. He has worked for Autodesk for 15 years working on Inventor, Forge and developing new, innovative solutions to help our customers.
Video Player is loading.
Current Time 0:00
Duration 27:08
Loaded: 0%
Stream Type LIVE
Remaining Time 27:08
 
1x
  • Chapters
  • descriptions off, selected
  • en (Main), selected
Transcript

ANDY AKENSON: Welcome to the session, Bridge the Construction/Manufacturing Gap with Inventor Product Templates. In this session, we're going to cover changing the construction industry by moving away from project-based mindset to products with product templates created in Inventor. I'm Andy Akenson. I'm a software architect here at Autodesk.

Over the last 14 years here at Autodesk, I've worked on the Inventor product, getting Inventor technology into the cloud and our Forge platform, helping our customers automate their workflows. And for the last year and a half, I've been working in our industrialized construction team. I've been working on helping our customers bridge the gap between construction and manufacturing and helping automate the process from end-to-end.

JUSTIN RICE: I'm Justin Rice. I'm a solution architect in the consulting organization of Autodesk, and I work with some of our largest key clients to define and implement workflows based on our latest technology. In order to ensure the workflows align with the roadmap of our technology, I need to work closely with the product development teams. Specifically, I work very closely with the team Andy is on to understand the workflows and industrialized construction that are being developed.

Prior to joining Autodesk, I spent 20 years in the field working with clients to develop design automation applications. Those applications were focused on capturing the rules and the logic behind product templates, reducing the amount of effort it took to generate those designs, improving the quality and the standardization of those designs, and finally, eliminating redundant tasks. Some of my solutions have reduced effort from weeks down to hours.

ANDY AKENSON: So why do we need to build this bridge, and what is this bridge trying to span? It all starts with our vision. We want to help accelerate the adoption of industrialized construction by connecting design and make tools and enabling a data-driven process. So if we look at what some of our fundamental customer challenges are, if we start with the architect, they're often working with early design decisions that have to be made without knowledge of manufacturing feasibility, costs, or sustainability.

The construction manager is dealing with manufacturing detail that is defined after the design decisions have been made. And the subcontractor, the data they're working with is often incomplete, missing detail, and often has to be manually recreated. Now, let's hear directly from three people in the industry that are having to deal with these challenges today.

[VIDEO PLAYBACK]

- We originally did the thing-- automated prefabrication-- and had that chunk, but it's not connecting with the other stuff.

- Yes.

- And we do our own engineering, so we should have an advantage. But we're finding all these bottlenecks. And one big value stream is the idea, but it's hard to implement without the tools, and the data, and pulling it all together.

- Right.

- What we're doing now, we're beginning to treat-- for years, we've heard, just design it and we'll figure out how to prefab it. Do whatever you want and we'll figure it out. That doesn't work, because the rules, the data, and the information comes in after the design is done and then it throws us into this monster of a work cycle.

- And that's not working.

- It's a nightmare.

- And, like, one of the things that struck me working in the design field was that there was-- especially in, like, a hard bid process, there's no feedback loop at all. Like, I'm literally sitting in an office detailing something without any ability to check with the actual people who make that thing in a meaningful way and collaborate with them around that information. So it's about it's about bringing the making into the design--

- I love that.

- --versus sort of creating a design and hoping it can be made.

- [LAUGHS] Exactly.

- We have to kind of flip the script, I think.

- I love it.

- So you were asking me a question five years ago, what did I design in? I designed in fabrication in AutoCAD. Two years ago, if you would have asked me, it would have been, what are you designing? And I would have told you, we're in a Revit. Now we're doing Revit. Wow, this is great.

And I come here today, and we're designing in Inventor. And that just tells the whole story, right? Because Inventor's manufacturing. And you can't manufacture without an Inventor-like product.

[END PLAYBACK]

ANDY AKENSON: So to summarize some of the needed capabilities, the architect needs to be able to design with assemblies that are informed by what can truly be made and modified. The construction manager wants to clearly define and share what assemblies can be made and how they can be modified. And the subcontractor wants to be able to extract assemblies from the project to automatically create things like models, drawings, bills of materials, quotes, and not have the amount of rework that happens in today's project-based environment.

So if we look at the current flow of the project today, it starts with the owner informing the engineer of what products can be used, who then hand that off to the architect to consume that in their design. They then send that to the fabricator, who then sends that to the site to be installed. Now, any problems that are found in the field come all the way back to every step along the way, causing schedule delays, extra cost, and waste in the entire cycle.

Productization comes in when we start informing the design for the architect from what can actually be made. So the fabricator can expose what the inputs are so the architect's always working with fabricatable elements to help reduce issues in the field. This is where productization for construction comes in. Using a dynamic product template in Inventor, it provides that bridge between the design and make, so that we can inform design with customizations, we can automate fabrication information, we can define exactly what is made, how it is made, and defined what the allowable variations are, so we could provide things like levels of detail, or full detail for manufacturing, shop floor drawings.

This is all about providing the right information for the right people, so that a non CAD user can access the models and generate content, we can derive a wide variety of information from one single source template. And we end up with a one-to-many relationship where we can generate many unique linked instances from a source template. So if we look on the left, we've got a dynamic product template in Inventor. We can bring that into something like the large model we were in Forge, and from that, we can generate many different kinds of outputs.

JUSTIN RICE: OK, now let's take a look at productization in action. Within the consulting organization, we'll be working directly with Binksy and Snyder who is an 80-year-old mechanical contracting firm who was recognized as one of the most recognized mechanical contractors in New Jersey and Eastern Pennsylvania. Binsky delivers high-quality workmanship on projects from large traditional construction, to commercial HVAC, plumbing and emergency service. They combine state-of-the-art technology with experienced engineers to bring unparalleled client satisfaction, budget management, and scheduled delivery to projects of all sizes.

The focus of the project with Binsky will be to take their already developed bathroom battery and extend the capabilities of this product. The bathroom battery is a common building assembly, but it's complex to fabricate on-site. The number of variants depend on the number of stalls and the type of fixtures to be put into the bathroom. Are those fixtures either urinals or water closets?

By prioritizing this bathroom battery, Binsky has been able to realize a 40% reduction in costs and the ability to assemble this product 66% faster when it was been prefabricated. Moving this into more of a product and less of an on-site fabrication has enabled Binsky to transition from a traditional subcontractor into a manufacturer and really start to become part of the design team, while embedding their knowledge of the fabrication processes into the design process and ensure that fabrication knowledge informs the design of that new bathroom.

ANDY AKENSON: In this section, I'll cover what a template is, why they are important, and I'll walk through some samples of how they're actually used today. So if we look at templates in Inventor, they start with a highly-engineered configurable dynamic model. Parameter values are changed, rules are run, outputs are then generated for things like shop floor drawings, bills of materials for the supply chain, or downstream consumption for things like BIM or visualization.

If we look beyond parametric modeling with rules, Inventor supports iLogic, where iLogic enables rule-driven design that provides a simple way to capture and reuse your work. It allows the user to standardize and automate the design process. It's really built around automation, efficiency, consistency, and accuracy.

Let's see what this looks like in Inventor with a simple wall assembly. In Inventor, I have a parametric wall assembly. Contains things like top plates, king studs, bottom plates, cripples for above the door, and patterns for laying out the wall.

It also has an associated drawing to show things like step placement, overall width and height, and door position. The assembly is constructed with model parameters as well as user parameters for things like the stud spacing, or the stock, or the overall wall width and height. We can also get a hold of the bill of materials so that we can manage the materials for this wall.

In Inventor, we have the capability of adding iLogic rules and a form. Here, I'll show changing the stock size, make the width 12 inches. Let's change the wall width, the wall height, and we'll modify the door. You notice as we make these changes we don't just stretch the wall, but we also reposition the studs based on the rules. The drawing also gets the parts list updated, and when I update the sheet, you can also see the layout gets updated for the dimensions.

Now, if we go back to the bill of materials, you'll see it's been updated based on our wall changes. Let's take a look at the iLogic rule. We have configure rule.

Any time a parameter changes, this rule is run. So we have things like the stud spacing, the stock, the door distance, how far the door can actually be positioned, and how this studs, and cripples, and jack studs are actually laid out. These are all tied to Inventor parameters. Any time those parameters change, these rules run.

See, we also have rules in the drawing, so that when the drawing updates, we can get the intents from the drawing elements and we can relay out the dimensions. So here, you'll see us getting the dimensions for all of the various aspects of the wall, and then relaying those out based on the pattern. All of this code will be available in the handout for you after the class.

Now let's look at a more complex assembly. I have a balcony that's made up of parts and subassemblies for things like the decking, the handrails, and the glass panels. Here, we'll see the parameters, the number of user parameters that drive the model parameters, but the main are the width and the depth, and a more complex bill of materials. So this is for the entire part and subassemblies for the balcony.

We have an iLogic form. And as we change the width and depth of the balcony, you'll be able to see things like the glass panels change as well as the decking configuration. Things like this would be hard to do in parametric modeling, but with rules, it's pretty straightforward. So here, you'll see my rule, so that every time my parameters change, I can do things like changing the deck count, I can do my glass panel layout, I can reset the handrail, and I can set some extents to make sure that the balcony never goes over 5,000 millimeters. And here, you'll see the bill of materials update as I made those changes to me my balcony bigger.

Now I can also do things like setting a model state for a BIM so that I can simplify it for consumption in Revit. Here, you'll see I've done some replacement as well as suppression, and I also have some rules around setting the level of detail for export into BIM. Now that I've shown you what can be done in desktop adventure today, let's take a look at what can be done beyond the desktop in Forge Autodesk cloud-based offering.

Going to forge.autodesk.com brings you to our cloud-based developer platform. This platform has all sorts of materials to help you glue together our desktop and cloud-based offerings into single coherent workflows. If we look down, we have specific services around things like viewing, access to the construction cloud, and design automation API. We also have a sample configurator.

So I've uploaded my configurable wall product template from Inventor. You can see here I've surfaced the user parameters so I can do things like changing the stock size, changing the stud spacing, and changing the wall itself, all within a web page. This is the Forge Embedded Large Model Viewer.

And then once I've made these parameter changes, I can update the model, it goes through the design automation API and returns an updated model. I can then extract the bill of materials for the updated model as well as get drawings. See here, this reflects my changes. I can export a PDF.

And I can download things. I can even download a Revit family and open up that configured Revit family in Revit. This allows us to connect the Inventor template directly into Revit through Forge. Resources, including sample code to build a solution like I just showed are available on forge.autodesk.com.

Leveraging Forge, Inventor, and Revit, I want to show you what can be done tomorrow to seamlessly connect the industrialized construction workflows, starting with these highly-engineered product templates in Inventor. Using the Large Model Viewer in Forge in design automation, I'm able to extract all of the assembly and walls in this Revit model in a web browser, and then able to map the Revit elements to the Inventor product template parameters and generate outputs for every selected Revit element in the building.

I can then go to construction cloud and see things like the bill of materials for each Revit element, updated models for downstream consumption, again, for every Revit element, be able to see the specific Inventor variant that was generated for those parameters. I can see it both here in the Forge viewer, as well as take that Inventor assembly downstream for manufacturing. Can also generate all of the production drawings for every element in that Revit model.

And here, for this Revit element, you'll see we've generated two sheets of drawings. You can see we were able to automate, at scale, 319 Revit elements in under half an hour, in a process that would have been both error prone as well as set the project back by days, if not weeks or months. The key to bridging the gap between construction and manufacturing using Inventor product templates will be shown in this example how we can provide a product template that is directly consumable in Revit. This will lead to the Revit designer being able to access all of the input parameters as well as being able to execute the rules so that everything that the Revit designer consumes is fabricatable.

Going back to our balcony assembly in Inventor, I now can publish this to the construction cloud. I can publish my levels of detail. And then I can also create a marketplace or product catalog based on those templates that are published. I can change the parameters, add them to my cart. Now that I have my cart, I can go to Revit and place those balconies in my building.

I'll insert the two balconies that I have, based on the BIM level of detail in my product template, and I'll insert those directly in Revit, and be able to see that in my model. You can see it brought over the right level of detail as well as the right configuration for each of these rooms. Now, I have some other rooms that are smaller and I don't yet have them in my cart.

I can go directly in Revit and make the balcony smaller. Again, select the BIM level of detail and insert that directly in the building. And you can see here, not only did I get the right size, but I got the right panel layout. So I've now inserted something that is directly fabricatable, and I can even go and submit a bid directly for these components.

Now we can deliver a completely connected workflow. So if we look at the gaps between the engineer designing the product template and the installer on the site, we have the owner who influences which products can be used in the project, we have the engineer designing the fully configurable, highly engineered product template. They publish that template to Forge. It can then inform the design, whether that's in something like a product catalog for a non CAD user or a designer directly in Revit.

They can then pass that on to make, for people like the sales engineer, the production manager, the fabricators, working in tools like Forge Large Model Viewer, with their back end tools like SAP, they can do configuration directly in a website, or they can take it to Fusion for fabrication. And then, they can take that directly to the installer in the construction cloud.

So now, there's a direct path back if the installer finds issues that can inform make, it can inform the design, it can inform the product template, or it can even inform the owner to know which products to go with in future projects. And hopefully this shows the power of bridging that gap between construction and manufacturing by moving the fabrication and manufacturing inputs into the design process so that not just the Revit designer, but everyone along the entire chain has access to both a single source of truth and any of the derivatives that come from that.

JUSTIN RICE: All right. Now let's take a look at this connected workflow in action on the Binsky modular carrier. So here, I have an iLogic model of the Binsky modular carrier. I want to go ahead and bring up this form.

And I can start changing the configuration of this model. So I can switch to having no water closet here in the fixture four, I can eliminate, I can switch the water closet and fixture in the fixture two position. You can see right now this is a back-to-back configuration because I've got a water closet in fixture two and in fixture five to a urinal. And so that'll swap out those two components.

Once I have completed my highly-engineered design, I can then zip up that model, take the zip file, upload it to the configurator, select the correct top level assembly, which will be my modular carrier assembly, and upload. That will create a new project in the configurator, allowing me to drive those same parameters in the configurator that I was driving in the iLogic model in Inventor.

All right, so you can now see that that model has been uploaded. You can see the cloud credits that were consumed. And now, I can go in and start driving those same parameters.

So I can quickly switch out and say, I don't want a fixture in location one, or four, and I also want to remove the fixture in position three. And then I'll switch the waste direction to coming out the right side. Click update. Those parameters are then pushed into the model and the iLogic rules are ran based on that set of inputs.

All right. So you can now see my new configuration. In this configuration, I can then go look at the bill of material. Here, I can see all the components that have been included in the assembly. This specific project did not have any drawings, but I can also then go and look at the downloads.

So I could download a zip of the entire assembly. Could also download an RFA. This is going to kick off another process, exporting a file from Inventor, pushing that file into Revit, and making a RFI directly from the Revit worker. And finally, I'm going to take a look at this modular carrier inserted into a Revit project.

So here, you can see a Revit project of this chap modular carrier has been uploaded into BIM 360. So I'm going to go ahead and look at this full assembly in the Large Model Viewer. And I'm going to go to a front view. If I zoom in, I can see instances of that modular carrier have been inserted in this assembly, where they belong within the bathroom, with respect to the entire larger MEP design.

ANDY AKENSON: Now, a quick recap to show how we're bridging the gap between construction and manufacturing. Let's bring it back to our vision, where we really do want to help accelerate the adoption of industrialized construction by connecting design and make tools and enabling a data-driven process. What we've shown, that by starting with a highly-engineered product template Inventor, connecting that to Forge, exposing the manufacturing parameters, you can insert that directly in Revit, connecting the workflows all the way from owner, to installer on-site, and providing feedback all the way through the process, closing the gap between construction and manufacturing. Now looking forward to answering any questions you may have on the topics we covered here today. Thank you so much for your time, and I hope you have a great Autodesk University.

______
icon-svg-close-thick

Cookie preferences

Your privacy is important to us and so is an optimal experience. To help us customize information and build applications, we collect data about your use of this site.

May we collect and use your data?

Learn more about the Third Party Services we use and our Privacy Statement.

Strictly necessary – required for our site to work and to provide services to you

These cookies allow us to record your preferences or login information, respond to your requests or fulfill items in your shopping cart.

Improve your experience – allows us to show you what is relevant to you

These cookies enable us to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we use to deliver information and experiences tailored to you. If you do not allow these cookies, some or all of these services may not be available for you.

Customize your advertising – permits us to offer targeted advertising to you

These cookies collect data about you based on your activities and interests in order to show you relevant ads and to track effectiveness. By collecting this data, the ads you see will be more tailored to your interests. If you do not allow these cookies, you will experience less targeted advertising.

icon-svg-close-thick

THIRD PARTY SERVICES

Learn more about the Third-Party Services we use in each category, and how we use the data we collect from you online.

icon-svg-hide-thick

icon-svg-show-thick

Strictly necessary – required for our site to work and to provide services to you

Qualtrics
We use Qualtrics to let you give us feedback via surveys or online forms. You may be randomly selected to participate in a survey, or you can actively decide to give us feedback. We collect data to better understand what actions you took before filling out a survey. This helps us troubleshoot issues you may have experienced. Qualtrics Privacy Policy
Akamai mPulse
We use Akamai mPulse to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Akamai mPulse Privacy Policy
Digital River
We use Digital River to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Digital River Privacy Policy
Dynatrace
We use Dynatrace to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Dynatrace Privacy Policy
Khoros
We use Khoros to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Khoros Privacy Policy
Launch Darkly
We use Launch Darkly to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Launch Darkly Privacy Policy
New Relic
We use New Relic to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. New Relic Privacy Policy
Salesforce Live Agent
We use Salesforce Live Agent to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Salesforce Live Agent Privacy Policy
Wistia
We use Wistia to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Wistia Privacy Policy
Tealium
We use Tealium to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Tealium Privacy Policy
Upsellit
We use Upsellit to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Upsellit Privacy Policy
CJ Affiliates
We use CJ Affiliates to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. CJ Affiliates Privacy Policy
Commission Factory
We use Commission Factory to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Commission Factory Privacy Policy
Google Analytics (Strictly Necessary)
We use Google Analytics (Strictly Necessary) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Strictly Necessary) Privacy Policy
Typepad Stats
We use Typepad Stats to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. Typepad Stats Privacy Policy
Geo Targetly
We use Geo Targetly to direct website visitors to the most appropriate web page and/or serve tailored content based on their location. Geo Targetly uses the IP address of a website visitor to determine the approximate location of the visitor’s device. This helps ensure that the visitor views content in their (most likely) local language.Geo Targetly Privacy Policy
SpeedCurve
We use SpeedCurve to monitor and measure the performance of your website experience by measuring web page load times as well as the responsiveness of subsequent elements such as images, scripts, and text.SpeedCurve Privacy Policy
Qualified
Qualified is the Autodesk Live Chat agent platform. This platform provides services to allow our customers to communicate in real-time with Autodesk support. We may collect unique ID for specific browser sessions during a chat. Qualified Privacy Policy

icon-svg-hide-thick

icon-svg-show-thick

Improve your experience – allows us to show you what is relevant to you

Google Optimize
We use Google Optimize to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Google Optimize Privacy Policy
ClickTale
We use ClickTale to better understand where you may encounter difficulties with our sites. We use session recording to help us see how you interact with our sites, including any elements on our pages. Your Personally Identifiable Information is masked and is not collected. ClickTale Privacy Policy
OneSignal
We use OneSignal to deploy digital advertising on sites supported by OneSignal. Ads are based on both OneSignal data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that OneSignal has collected from you. We use the data that we provide to OneSignal to better customize your digital advertising experience and present you with more relevant ads. OneSignal Privacy Policy
Optimizely
We use Optimizely to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Optimizely Privacy Policy
Amplitude
We use Amplitude to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Amplitude Privacy Policy
Snowplow
We use Snowplow to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Snowplow Privacy Policy
UserVoice
We use UserVoice to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. UserVoice Privacy Policy
Clearbit
Clearbit allows real-time data enrichment to provide a personalized and relevant experience to our customers. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID.Clearbit Privacy Policy
YouTube
YouTube is a video sharing platform which allows users to view and share embedded videos on our websites. YouTube provides viewership metrics on video performance. YouTube Privacy Policy

icon-svg-hide-thick

icon-svg-show-thick

Customize your advertising – permits us to offer targeted advertising to you

Adobe Analytics
We use Adobe Analytics to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Adobe Analytics Privacy Policy
Google Analytics (Web Analytics)
We use Google Analytics (Web Analytics) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Web Analytics) Privacy Policy
AdWords
We use AdWords to deploy digital advertising on sites supported by AdWords. Ads are based on both AdWords data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AdWords has collected from you. We use the data that we provide to AdWords to better customize your digital advertising experience and present you with more relevant ads. AdWords Privacy Policy
Marketo
We use Marketo to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. We may combine this data with data collected from other sources to offer you improved sales or customer service experiences, as well as more relevant content based on advanced analytics processing. Marketo Privacy Policy
Doubleclick
We use Doubleclick to deploy digital advertising on sites supported by Doubleclick. Ads are based on both Doubleclick data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Doubleclick has collected from you. We use the data that we provide to Doubleclick to better customize your digital advertising experience and present you with more relevant ads. Doubleclick Privacy Policy
HubSpot
We use HubSpot to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. HubSpot Privacy Policy
Twitter
We use Twitter to deploy digital advertising on sites supported by Twitter. Ads are based on both Twitter data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Twitter has collected from you. We use the data that we provide to Twitter to better customize your digital advertising experience and present you with more relevant ads. Twitter Privacy Policy
Facebook
We use Facebook to deploy digital advertising on sites supported by Facebook. Ads are based on both Facebook data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Facebook has collected from you. We use the data that we provide to Facebook to better customize your digital advertising experience and present you with more relevant ads. Facebook Privacy Policy
LinkedIn
We use LinkedIn to deploy digital advertising on sites supported by LinkedIn. Ads are based on both LinkedIn data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that LinkedIn has collected from you. We use the data that we provide to LinkedIn to better customize your digital advertising experience and present you with more relevant ads. LinkedIn Privacy Policy
Yahoo! Japan
We use Yahoo! Japan to deploy digital advertising on sites supported by Yahoo! Japan. Ads are based on both Yahoo! Japan data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Yahoo! Japan has collected from you. We use the data that we provide to Yahoo! Japan to better customize your digital advertising experience and present you with more relevant ads. Yahoo! Japan Privacy Policy
Naver
We use Naver to deploy digital advertising on sites supported by Naver. Ads are based on both Naver data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Naver has collected from you. We use the data that we provide to Naver to better customize your digital advertising experience and present you with more relevant ads. Naver Privacy Policy
Quantcast
We use Quantcast to deploy digital advertising on sites supported by Quantcast. Ads are based on both Quantcast data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Quantcast has collected from you. We use the data that we provide to Quantcast to better customize your digital advertising experience and present you with more relevant ads. Quantcast Privacy Policy
Call Tracking
We use Call Tracking to provide customized phone numbers for our campaigns. This gives you faster access to our agents and helps us more accurately evaluate our performance. We may collect data about your behavior on our sites based on the phone number provided. Call Tracking Privacy Policy
Wunderkind
We use Wunderkind to deploy digital advertising on sites supported by Wunderkind. Ads are based on both Wunderkind data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Wunderkind has collected from you. We use the data that we provide to Wunderkind to better customize your digital advertising experience and present you with more relevant ads. Wunderkind Privacy Policy
ADC Media
We use ADC Media to deploy digital advertising on sites supported by ADC Media. Ads are based on both ADC Media data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that ADC Media has collected from you. We use the data that we provide to ADC Media to better customize your digital advertising experience and present you with more relevant ads. ADC Media Privacy Policy
AgrantSEM
We use AgrantSEM to deploy digital advertising on sites supported by AgrantSEM. Ads are based on both AgrantSEM data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AgrantSEM has collected from you. We use the data that we provide to AgrantSEM to better customize your digital advertising experience and present you with more relevant ads. AgrantSEM Privacy Policy
Bidtellect
We use Bidtellect to deploy digital advertising on sites supported by Bidtellect. Ads are based on both Bidtellect data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bidtellect has collected from you. We use the data that we provide to Bidtellect to better customize your digital advertising experience and present you with more relevant ads. Bidtellect Privacy Policy
Bing
We use Bing to deploy digital advertising on sites supported by Bing. Ads are based on both Bing data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bing has collected from you. We use the data that we provide to Bing to better customize your digital advertising experience and present you with more relevant ads. Bing Privacy Policy
G2Crowd
We use G2Crowd to deploy digital advertising on sites supported by G2Crowd. Ads are based on both G2Crowd data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that G2Crowd has collected from you. We use the data that we provide to G2Crowd to better customize your digital advertising experience and present you with more relevant ads. G2Crowd Privacy Policy
NMPI Display
We use NMPI Display to deploy digital advertising on sites supported by NMPI Display. Ads are based on both NMPI Display data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that NMPI Display has collected from you. We use the data that we provide to NMPI Display to better customize your digital advertising experience and present you with more relevant ads. NMPI Display Privacy Policy
VK
We use VK to deploy digital advertising on sites supported by VK. Ads are based on both VK data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that VK has collected from you. We use the data that we provide to VK to better customize your digital advertising experience and present you with more relevant ads. VK Privacy Policy
Adobe Target
We use Adobe Target to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Adobe Target Privacy Policy
Google Analytics (Advertising)
We use Google Analytics (Advertising) to deploy digital advertising on sites supported by Google Analytics (Advertising). Ads are based on both Google Analytics (Advertising) data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Google Analytics (Advertising) has collected from you. We use the data that we provide to Google Analytics (Advertising) to better customize your digital advertising experience and present you with more relevant ads. Google Analytics (Advertising) Privacy Policy
Trendkite
We use Trendkite to deploy digital advertising on sites supported by Trendkite. Ads are based on both Trendkite data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Trendkite has collected from you. We use the data that we provide to Trendkite to better customize your digital advertising experience and present you with more relevant ads. Trendkite Privacy Policy
Hotjar
We use Hotjar to deploy digital advertising on sites supported by Hotjar. Ads are based on both Hotjar data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Hotjar has collected from you. We use the data that we provide to Hotjar to better customize your digital advertising experience and present you with more relevant ads. Hotjar Privacy Policy
6 Sense
We use 6 Sense to deploy digital advertising on sites supported by 6 Sense. Ads are based on both 6 Sense data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that 6 Sense has collected from you. We use the data that we provide to 6 Sense to better customize your digital advertising experience and present you with more relevant ads. 6 Sense Privacy Policy
Terminus
We use Terminus to deploy digital advertising on sites supported by Terminus. Ads are based on both Terminus data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Terminus has collected from you. We use the data that we provide to Terminus to better customize your digital advertising experience and present you with more relevant ads. Terminus Privacy Policy
StackAdapt
We use StackAdapt to deploy digital advertising on sites supported by StackAdapt. Ads are based on both StackAdapt data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that StackAdapt has collected from you. We use the data that we provide to StackAdapt to better customize your digital advertising experience and present you with more relevant ads. StackAdapt Privacy Policy
The Trade Desk
We use The Trade Desk to deploy digital advertising on sites supported by The Trade Desk. Ads are based on both The Trade Desk data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that The Trade Desk has collected from you. We use the data that we provide to The Trade Desk to better customize your digital advertising experience and present you with more relevant ads. The Trade Desk Privacy Policy
RollWorks
We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

Are you sure you want a less customized experience?

We can access your data only if you select "yes" for the categories on the previous screen. This lets us tailor our marketing so that it's more relevant for you. You can change your settings at any time by visiting our privacy statement

Your experience. Your choice.

We care about your privacy. The data we collect helps us understand how you use our products, what information you might be interested in, and what we can improve to make your engagement with Autodesk more rewarding.

May we collect and use your data to tailor your experience?

Explore the benefits of a customized experience by managing your privacy settings for this site or visit our Privacy Statement to learn more about your options.