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Revolutionizing Prefabrication with Autodesk Platform Services and AI

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Description

Discover the power of Autodesk Platform Services and artificial intelligence (AI) to revolutionize prefabrication processes. In this session, we'll explore core industry challenges, including time-consuming tasks, repetitive actions, errors, lack of standardization, and the sharing of information about increasingly complex models with people in the shop. Witness firsthand how Autodesk Platform Services—armed with reusable assemblies, customizable rules, and a machine-learning modeling assistant—propels you toward a new era of efficiency and consistency. Furthermore, experience captivating web-based viewers that foster dynamic collaboration, as you learn how to unleash fabrication models with enhanced visualization and precision. See how these elements form a seamless and transformative process for optimizing fabrication workflows. This talk will offer a fresh perspective on driving innovation in the architecture, engineering, and construction (AEC) fabrication industry, leading to improved project outcomes.

Key Learnings

  • Learn how to implement AI to automate repetitive and time-consuming tasks in prefabrication modeling workflows.
  • Learn how to create and utilize reusable fabrication assemblies and custom rule sets to enhance workflow efficiency and standardization.
  • Learn how to integrate Autodesk Platform Services to export model information and collaborate effectively.
  • Learn how to enhance visualization capabilities through a custom web-based viewer for better project understanding.

Speakers

  • Avatar for Gonzalo Villanueva
    Gonzalo Villanueva
    Hello, I'm Gonzalo Villanueva, a civil engineer deeply passionate about technology's transformative potential in industries. My career in civil engineering seamlessly blends with a master's degree in AI and data science. I specialize in Python, TypeScript, and C#, using them to streamline processes within Building Information Modeling (BIM). My goal is to enhance construction project efficiency through task automation and workflow optimization. My career kicked off in the field of modeling, eventually leading me to the challenging role of manually crafting spool sheets and various related assignments. Recognizing AI's potential to optimize these processes, I transitioned into an innovator's role within the Architecture, Engineering, and Construction Industry, seamlessly merging engineering and AI expertise. Beyond my technical skills, I actively contribute to non-profit associations, organizing over 30 events. I'm dedicated to pushing boundaries and seeking new challenges. Join me on a journey of innovation and efficiency in the AEC Industry. My commitment to advancing technology and delivering impactful solutions drives my career.
  • Gustavo Gusmão
    Meet Gustavo Gusmão. Starting my journey as a Civil Engineer, I quickly found my passion in BIM. Initially, I delved into modeling and, over time, progressed to leading BIM teams. Facing challenges head-on as a BIM coordinator, I embraced them with innovative solutions. For the past two years, I have been at the forefront as a BIM Solution Architect. My enthusiasm for automation nudged me from modeling to development. Simple Excel VBAs in my early days paved the way for advanced Revit Add-ins and tailored web applications for the BIM community. Lately, I have been exploring the world of Fabrication for BIM, seeing it as the next big step. Merging my profound BIM insights with programming, I'm exploring new ways to integrate fabrication with BIM.
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Transcript

GONZALO VILLUANUEVA: Hello, welcome to our industry talk. Today, we will explore ways to enhance our workflow using Autodesk Platform Services and artificial intelligence. My name is Gonzalo. I am a civil engineer with a masters in data mining. I'm passionate about in engineering and programming. I have several years of experience in both fields. I always look to solve problems in a creative way and consider myself an innovator in the industry. Joining me for this discussion, let me introduce my colleague, Gustavo.

GUSTAVO GUSMAO: Hi. Hello, everyone. I'm Gustavo Gusmao. I started as a guy deeply involved in civil engineering, like planning and cost estimation for general contractors, and then a few twists and turns later, I found myself in the BIM universe, first as a modeler and then as a coordinator, and finally, as a solution architect.

Well, I've always been really into automation. I mean, why spend a few minutes doing a task if I can spend hours trying to build a script to do it for me right? Well, kidding aside, this is not how it works. So through the years, I've been refining my sense of what is the best solution for this. Is that really necessary? Who are the stakeholders? And as a BIM solution architect, this is an integral part of my job. And well, this presentation is a good sample of this job, and we are really excited to present it to you guys today.

GONZALO VILLUANUEVA: Right, thank you, Gus. Now, we can start with our first topic, which I'm sure we have all experienced, and that is the feeling of deja vu when we face something repetitive. This, just as you can see, is an image from the movie Modern Times.

Repetitive tasks are everywhere, but we don't have to let this stop us to continue working to turn these tasks into the spark that motivates innovation because-- and this way, be able to unlock the automatization of our task. To be clear, let's look at a practical example. In our case, we want to see how to improve the process of creating and manufacturing assemblies.

The current workflow is quite simple. We start with the modeling, then we add all the necessary pieces in the final adjustment. Next, we create assemblies and finally, we send all the information to the shop for the manufacturing process. And then the entire cycle starts over again this is not only monotonous but also a bottleneck. Thus, we must discuss how to prevent this problem and how to create modern solutions.

So let me repeat the question, how can we do this? Well, one might think that Autodesk would have a tool that does exactly what we need. But the reality is that, no, there is no tool that perfectly matches our requirements. However, the company gives us many options to build our own solution.

For example, it gives us the API of software like Revit and Inventor and all the tools available in Autodesk Platform Service. And finally, apps like Flow, Fusion, and Forma to automate some processes. So with all that said, we can finally start thinking about our approach to the solution that we call the question.

To begin with this question, we have to answer what we want to do. We want to save time to say goodbye to unnecessary back and forth. We want to innovate to break the monotony of creating assemblies. We want to focus on the user through a web platform. And finally, we want to integrate AI to assist us.

With all that in mind, we arrived to our solution that we call, this, our MEP modeling assistant our first attempt to approach solving the problem I mentioned earlier. Now, I will let Gustavo take over and provide more details about it.

GUSTAVO GUSMAO: OK, now that you guys were formally presented to Blaze, let's get a bit more familiar with it. I want to start with the foundation, a blueprint of what we will be detailing in a while, as you can see here, we begin in Revit. It. Is where we take details from the Revit assemblies and create what we call catalogs. Think of a catalog like a toolbox, where tools are grouped by the users.

So in our solution, the assemblies are grouped by something in common, its use, manufacture or price range for example. Well, we also need to apply this catalog somewhere, right? So this is our target model. This is more of a backstage process size. This is just a preparation for what is coming.

And well, here is where the fun part is, the web page. And our goal is simple, make the everyday tasks of building and arranging assemblies pieces smoother and friendlier on a web page. And finally, once we are done playing with the web, we bring everything back to Revit.

So this was just an overview of the web the App, but you might be wondering at this point, why jump to the web when we started in Revit and ended it in Revit too? Well, Revit it's an awesome software. If you try to use other apps or back in the time when we need to create every field line by line in AutoCAD, you know how handy Revit is for us.

Well, Revit has its learning curve, and sometimes, you might have the best designer or coordinator with years of experience, and still, he will need to dedicate some time on learning Revit. So this was the spark that engaged us in pushing it to the web. Anyone can get a laptop or a tablet and navigate to a website with no complex wheels or filters or anything like that. So no confusing stuff. Just pick and place, choose an assembly from the catalog, click, and add it, easy.

But if the web is so cool, why would we go back to Revit? Well, that's because Revit lets you dive deep, from creating simple drawings to highly detailed pose with quantities and et cetera. So after having fun on the web, we bring everything back to Revit for the final touches.

So for the GNOME developers, folks watching this, I apologize in advance, but this might not be the funnest part of this presentation. So I'm about to give you a brief idea of the architecture of this app, but no worries. This is just an overview. If you are interested in more details, take a look at the handout or feel free to contact us later.

So the app's architecture starts with our primary stakeholders, the users. The user is going to have contact with two components in this schema. First, the add-in, the Revit add-in, which as I mentioned before, is responsible for exporting the catalog and also the target models that will receive the assemblies. This add-in is-- was created with C#, and it communicated with our back end, which uses .NET Core 6.

Maybe web API or a back end sounds like weird tech words, but in short, It's usually the core of web applications, which connect different components or database. So for example, when you are at home watching your Netflix, all those fancy interface is your front-end component, but all information shown there as the movie name, description, or even the movie itself, comes from a back end running somewhere in the world.

Well, also communicating with the back end are web APIs. It is our web page or interface. This is where users will be interacting with the model and catalog. This is our front end, which uses React and TypeScript to be implemented. Well, if I say that the previous part could be boring for the nondevelopers, I'm afraid to say that this part will become a bit worse, but no worries. We are getting to the fun part soon.

Picture our app like a big theater. What you have seen so far, the web page and the add-in, are the front stage, where the actors perform, but there is also a backstage, where all the magic preparations happens. These components, for us, are the database, where we store the catalog information and project data, and given the data type we are working in here, we decided to move with a nonSQL solution called MongoDB.

We also have this mysterious component I don't want to spoil the surprise here. So let's follow up on this in a while. And on the other hand, we also use APS, a.k.a. Autodesk Platform Services, formerly known as Forge, and given all the backstage components, I want to get into more detail on this APS.

So APS is a collection of tools from Autodesk that us build our app faster and better besides starting our app not from the ground but with a solid base, some of the products we are going to be using here are the authentication API so we can use Autodesk Construction Cloud credentials to authenticate our users in the app we also use data management which gives us information and some control over the files hosted on Autodesk Construction Cloud so we can list project folders, publish models, gather metadata, and et cetera.

Well, we think that the start of our APS-- the APS start on our application is definitely the Viewer, a WebGL-based component that wraps all the 3D interaction for us. This is compatible with several file types, and it really shines when working with Autodesk formats like the Revit for example, making the integration even easier.

So the other components listed here are not currently in use on our app, but they are also available on APS, and they are on our roadmap for the future features. But for example, like Autodesk Construction Cloud would help us manipulate projects creation or editing permissions. Data Exchange could make it easier to extract information from Revit models and remove the first step of exporting data from Revit that I just mentioned.

All the data extraction could be done automatically. There is also the design automation where Autodesk handles Revit instances on their servers to perform actions in Revit files also be aware that these features might get updates since Autodesk is releasing new features on APS. All the time all right enough with the behind-the-scenes stuff. Let's dive into what you guys have been probably waiting for, the app itself.

Let's take a look at the grand entrance to add-ins. There are three buttons available on our Revit. So once you have your model open and accessible with the symbols created, you can export them as a catalog. It could be a real project or a reference model you created for this purpose. Then, you click on Export catalog and all the corresponding views are exported as a new catalog. OK, so now you have your catalogs and you want to add them to the new models.

So you open the target model in Revit and click Export Project. This will restore all the data we need to calculate the assemblies on the web. Well, finally, we saw all the gathering information. Let's take a look into the website. Well, this is our web page.

Not much to see here, but I would like to bring your attention to the use of the APS authentication. I explained it before, like, when you have to sign up for a new app and it feels like it takes forever, like filling out details, confirm verification, codes sent by emails and all that jazz. Well, we thought, why not make life a little easier? So when you hop onto our app, you can simply use Autodesk login and it's all about making things simple.

OK, so here's where users can navigate on different catalogs, and within each catalog are all the assemblies waiting to be explored. Something you note-- you'll be-- note is how you can organize these catalogs. Maybe you want to group them by manufacturers or by clients or even sorting them based on price ranges. The choice is yours.

Now, you'll notice we are leveraging in the Autodesk viewer. That means that you can view these assemblies and also interact with them, rotate them, select specific elements, or even pull out details that were embedded in Rev, like comments or descriptions for example. Well talking about the products the target projects this is where all the action happens. It's called the Viewer Ribbon. Here, users can scroll through ACC Revit models, choose one, and start to add assemblies. And how does that work exactly?

First, the user will spot and select an assembly from the knit list on the left. Got one? Great, then next, you need to choose the perfect spot in the viewer. Just make sure it is a logical spot like a pipe or a fitting size. We cannot just place it anywhere, and the app is aware of that.

Now, if you have picked a valid location, you see that it turns into an action on the right list, the green one, and the assembly will be inserted in the viewer. Think of each action like a note to yourself or a bookmark. These actions are our way of saving information and allowing users to collaborate in real time. Everything is tracked in our database. Awesome, finish with all the placements.

Great, you can wrap it here if you just want a visual model in the web, but if you are looking to make it all official in a Revit file, this is where Revit add-ins come back into play again. So this is the add-in again, so open the same ACC model Revit that you are tweaking on the web. Now, all you got to do is hit Import assembles and everything you did on the web will populate here. How? Remember those actions we talked about? Each one of them will represent an assembly and will be populated here in the model.

OK, well, now that we have taken you on a quick tour of our app, I'm sure a couple of questions might come up. So why an assembly catalog? Think about it. Sometimes in a project, [INAUDIBLE] and assembly requirements might differ. That's normal, but there are occasions wherein certain assemblies are essentially identical. They might just be situated in different spots or have different pattern, like needing to be near to a restroom for example.

So why recreate the wheel every single time? Why not have a catalog, a ready repository that can be tapped into for any project, any client? But why choose a web-based approach? We did touch upon this earlier and the goal is to simplify the process. Often, the decision maker for the assemblies might not be the Revit specialist. It might be a field expert with years of hands-on experience. Expecting them to learn Revit is not efficient

Moreover, the beauty of the solution lies on its integration. Beyond just being a web application, we are bridging multiple services. We are pulling elements from Revit, utilizing APS for multiple functionalities, and employing our back end to run essential checks, ensuring that the assembly placement makes sense. The power of our application isn't just in an individual feature, but it's how seamless they are interwoven. And well, this is all the screens for our application from the main page to Revit and back to Revit again.

All right, we covered quite a bit, and this is great, right? This is a great workflow. However, some of you might feel that something is missing you're probably skimming the session description, or we call it the title and thought. Hey, there's something else promised, here. Gonzalo, can you help us to figure out what might be missing?

GONZALO VILLUANUEVA: Yes, it's that thing you mentioned earlier, the mysterious component in our back end. It's true we haven't detailed it yet, but where is the AI part of this? That is an excellent question. I think it's time to reveal the role of AI in all of this. But before, that, we have to start talking about what is AI? At this point, I think all of what AI means.

And as harness the formative power of Autodesk tools, we also entrust AI with the task of handling repetitive tasks and pattern identification within our application. But this brought another question to the table that is necessary to ask ourselves, are we being replaced? The short answer is no. We are not being replaced, at least for now.

AI could be a powerful assistant it complements and elevates our capabilities and takes charge of all the repetitive tasks. Imagine having an assistant that has observed and learned from every decision you have made in the past regarding when and how to use certain assemblies.

This assistant powered by machine learning model can automatically suggest which assembly to use based on its accumulated knowledge. But how can it actually assist me? Well, I'm going to explain a few examples such as intelligent assembly suggestions and the optimization of choices. For more, Gustavo is going to explain other features for the future.

Let's start with the intelligent assembly suggestion. Here, We have the same UI that we mentioned before, but if you pay attention to the bottom right corner, you can see how our robot is popping up in. In this case, we don't have any action in our action list, but with a few clicks, Blaze will start to change.

In this case, it identifies a few similar locations where it can place our currently selected assembly. If we click Apply, then it will automatically place our assembly for us, and then we can continue working on other parts of our building.

Next, we have the optimization of choice features. In this case, we place an assembly in a spot that is not allowed. So our system will inform us that this assembly is misplaced, and it will ask us if we want to fix it. With just a click, Blaze, our assistant, will fix the problem and add-in the element where it is fixed.

But how does it work? Well, we have a few paths to choose here. The first one is called supervised learning. Think of this one as a guided learning, where we prepare all the data to be learned, in this case, our Revit models. The second one is the unsupervised learning. It's the one we choose for our training because it doesn't need labeled data. We can live just with our model so that I find all the hidden patterns and structure in our model.

The last one is reinforcement learning. That involves a trial-and-error training approach that improves decision making by receiving awards. But it doesn't stop there. The idea for the future is to continue learning and keep feeding our AI with different of information. In this case, we only use the Revit model from our company, but we could also add all the input by the users that use our application. And then, the AI can become more accurate in our assistance.

Well, you may ask if that is all that the AI offers. The reality is no. We have just seen a little of what AI can do. We have to explore what enhanced AI means and what can be expected beyond that limit. We had to get all the ideas that we had to the reality. So I'm going to summarize what Gustavo is going to explain a little more about our future roadmap.

We want to anticipate the next step of the project. We want to automate real time reviews. We want to make more integration with industry-standard tools like Inventor, and we also want to create an assembly marketplace, where all manufacturers can sell and share their products.

GUSTAVO GUSMAO: Well, as Gonzalo pointed out, while we are excited about what we have achieved so far, our aspirations reach even higher, and well, we are not working on these features right now, but we believe that there are a place for it in the future. One of the exciting features we are contemplating is the anticipated project next steps.

So during a project life cycle, specific patterns often emerge in how a person works. For instance, if you are consistently placing assembly in some logic across different projects, our application could recognize this behavior. The next time you initiate a similar project our application could proactively suggest, hey, I noticed that we have done this before. Would you like me to apply in this project?

And this is not only for saving time, but it could also help preconfigure a model even before you delve deep into it. In a sense, it's about making the application smarter, more intuitive, and more tailored to each user's unique workflow.

But while we have developed an application that streamlines and even automates many processes for the user, let's be realistic here. We recognize that there's always going to be an element of manual intervention. Every project is distinct and unique requirements arise constantly. This individual nature of each project means that there is always going to be some hands-on tasks involved.

So what's our approach to this ever-evolving landscape? We have been considering on integrating artificial intelligence to spot discrepancies or errors in the model. Let's take an example, you might be using an assembly that's typically not recommended for certain projects or perhaps it's positioned too close to a electrical panel for example.

These nuances might be second nature to someone with years of project expertise but could be a challenge for someone who just started with the application. This is precisely where AI can play an important role. Providing guidance insights or perhaps even preventing costly errors down the road.

Well, right now, our application is deeply integrated with the Autodesk ecosystem, but we are conscious that many projects might involve other trades or organizations that use a different set of tools software or databases. So how do we bridge that gap? Our vision extends to integrating our app with other industry standard platforms we are looking at industry standards, such as IFC for example. We are gearing up for a future where our app becomes the hub that seamlessly connects to a variety of tools and platforms.

Well, now, this is the feature that, for this speaker over here, is the more excited to be implemented in the future, and well, let's draw a parallel. When you are shopping for a computer, you have the option to handpick components like the CPU, the screen, keyboard one by one, or you can buy that all together.

So why can we replicate this concept here? Rather than individually sourcing parts, coordinating fabrication, and finally dispatching to the field, why not offer a one-stop solution? So let's imagine that contractors can simply browse a manufacturer's catalog, place an order, and receive a ready-to-install assembly right on their project site. In an age where prefabrication is growing fast, this is not just a far-fetched dream but an opportunity, and we want to explore that.

So we are getting to the end of this presentation, and after presenting our current features implementations and what's coming next, one thing becomes clear for us because the construction industry is rapidly evolving and we believe that prefabrication stands on the forefront of this revolution. So we are not just observing this transformation, we are trying to actively embrace it. Modern constructions demand modern solutions, and that's precisely what we are committed. Right, Gonzalo?

GONZALO VILLUANUEVA: You are right, Gustavo. As you mentioned earlier, the industry is moving fast and we need all the tools and allies that can we handle. In this case, AI will become the best assistant that you can get, and we have to consider AI as an assistant and ally, not an enemy. We are talking about smart homes and cities, but we are still manually adding assemblies in a process.

We have to change that mentality and start embracing the change. With that in mind, we wanted to spend the last few minutes of this presentation talking about the future. We have a lot of ideas and dreams about it, but we have one thing sure, that our tools and AI will help us to build better solutions, better cities, and better buildings. Thank you so much for your time, and see you all the next time.

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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

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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

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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.

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