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Mage — The fastest way to build and use AI
Mage is a tool that transforms your data into predictions.
Build, train, and deploy predictive models in minutes.
No AI experience required.
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Replies
@jaredhobbs Thank you Jared! Please let us know if you have any feedback when you get a chance to use Mage, we'd love to see the models you build!
This is awesome! Mage is a dead simple solution for small teams to get all the benefits of AI/ML without all the infrastructure headaches. So awesome to see how far the team has gone! Congrats @tommydangerouss and team!
@tommydangerouss @mmahalwy Thanks so much Mohamed!! W really appreciate your feedback & support! Means the world to us!
@mmahalwy it is ultra simple. Even though we made it simple to use, we didn’t make it any less powerful.
Looks great @tommydangerouss! What are some of the best use cases you've seen for Mage so far?
Hey @samdebrule! Thank you for the support. Some really cool use cases is predicting bad actors who are trying to defraud a referral program, recommending products on a Shopify store front, price recommendations for products, forecasting supply and demand needs, predicting membership cancellations, etc.
What are some use cases that are interesting to you?
After working with hundreds of product developers at Airbnb for over 5 years, I saw a lot of them had great ideas on how to use AI to enhance their products.
Unfortunately, everyone still relied on data science resources to help them implement their ideas. Existing tools were designed specifically for data scientists, making the power of AI inaccessible to most people.
That’s why we created Mage. It’s the easiest way to build and use AI. Now every developer can integrate AI predictions into their products, creating immediate value for their users. Traditional AI models can take months to build and ship; with Mage, it only takes minutes.
How it works:
1. Connect your data to Mage via data warehouse, database, API, etc.
2. Enhance and clean your data with Mage’s guided suggestions
3. Train, improve, and deploy your model to an online API endpoint
You might be wondering "what is a mage?" A mage is someone who uses magic. Advanced technology is indistinguishable from magic. Our mission is to equip product developers with advanced AI technology, transforming them into someone who uses magic: a mage.
Get started with Mage for free. Please let us know if you have any questions, we’d love to hear your feedback and see what you build!
@tommydangerouss @greg_janota Congrats on the launch! I tried to find a getting started guide. Any link will help to check if we can use Mage 🙌
@tommydangerouss @greg_janota @dragos_bulugean Thank you! Here is the quick start guide: https://www.mage.ai/start
@dragos_bulugean
We wrote up a quick start guide here: https://www.mage.ai/start
Can’t wait to see what you build!
@tommydangerouss @troygoode Thanks Troy! Would love any feedback on how we can improve :)
@tommydangerouss @troygoode Thank you so much Troy! Say hello to the Courier team for us!
@tommydangerouss @troygoode Thanks so much for your support!! Means the world to us!
Thank you @troygoode! We rely on Courier to update our users on how their model is training and progressing. Thank you for Courier!
Congrats on the launch team! It's been awesome to see this product evolve from early versions, to dramatically improved UX for connecting your data sources and quickly training your models.
It's a delightful user-experience and I've been recommending it to any company that is attempting to add predictions on top of internal data, or recommendations and personalization for users in their product.
@nicolaerusan This means a whole lot to us Nicolae and I can very happily echo the sentiment about Clay - an absolute pleasure to use. You guys are awesome.
Every single developer can benefit from predictive AI, so we'll be working tirelessly to continue refining and improving the experience. If you all ever need specific support with models that can help you out, just let us know.
Wow - that's super powerful! Do you integrate with all major data houses and databases?
@andykaiser Thank you so much Andy! Let us know if you have any questions or feedback when you get a chance to use Mage. We'd love to see what you build.
Congrats @tommydangerouss & team on the launch! It's super exciting that Mage can help every developer integrate AI predictions into their products to help their users!
@tommydangerouss @samedelson Thanks Sam! Lots more features and integrations to come!
@tommydangerouss @samedelson That's definitely the goal here Sam. We really want people to leverage AI to create positive impact - make users happier, improve experiences, discover insights that bolster success. Every single developer deserves the ability to do that.
This is such a cool product. As a Software Eng, I want to utilize the power of ML, but that often ends up with a lot data-sciency work; that work is great (and impressive) but I want to spend my time building systems. Mage seems like a big missing piece of infra as ML takes over the world!
@jeremy_smith1 you hit the nail on the head! We hope we can be apart of integrating AI/ML into your future projects. Please let us know if you have any comments and feedback on how we can improve :)
@jeremy_smith1 Thank you Jeremy! Can't wait to see all the great things you'll build with Mage!
@jeremy_smith1 you are 10000000000000% right Jeremy! Thank you for sharing your insights. Mage allows developers to do what they do best: build products. Mage simply augments the developer with powers to build data-driven apps through the use of AI and its predictions.
Congratulations to you and the team on the launch Tommy! Thrilled that you've built such data tools for businesses to use.
@christopherfong a lot of businesses don’t have access to AI experts or AI tools that were designed and built for them. That is why Mage is aimed at helping those businesses compete with big tech.
@rajiv_ayyangar We use Tandem *every single day* Rajiv. We couldn't do it without you.
@rajiv_ayyangar Thanks for the comment Rajiv! Tandem has been such an asset for Mage, especially during remote work days.
Thank you @rajiv_ayyangar! We love how Tandem simplifies communication. We were able to build such a magical and simple AI tool because Tandem enabled us to share our ideas and collaborate seemlessly.
Congrats on your launch @tomydangerouss and team! I love how easy Mage makes creating data predictions. Looking forward to seeing what’s to come.
@tomydangerouss @lenny_rachitsky Thank you Lenny! We've got many more magical things on the way.
@tomydangerouss @lenny_rachitsky Thanks for all the feedback and support Lenny!
This solves such a common problem even well-resourced companies experience. So excited to see this!
@patricksrail totally agree! Even if you have a team of data science already, you can unburden them and allow them to focus on custom problems to the business by empowering other team members to work on lower hanging fruit AI projects by using Mage.
@patricksrail Very good point Patrick! Thank you for your feedback and can't wait to hear more about your experience with Mage!
@patricksrail Thank you so much for your support Patrick!! We really appreciate it!!
yearend.