
4.5.23-AI-Inkbit

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Interactive transcript
JAVIER RAMOS: Good morning. We also don't have large language models. So I'm Javier. I'm excited to be here. You're all too familiar with this picture. This is the Ever Given stuck in the Suez Canal during the pandemic. And this made one thing very clear. We've relied on a very vast interconnected, delicate, and fragile global manufacturing network. This has brought an interest to rebuff our a national manufacturing chain and develop local and regional manufacturing networks.
There's a parallel and complementary trend, which is companies want to innovate faster. They want to go to market faster. And they want to develop products that are tailored, or custom, for each customer, every application. We're moving from a paradigm of manufacturing a million widgets a year to a new paradigm where products are made to a customer and to a specific application. And this ultimately delivers higher value to customers and the manufacturing company.
Just want to make this case very vivid. This is one of our customers, [? Ocado. ?] They manufacture an e-commerce fulfillment robotic platform that's based on a grid system with a robotic-- mobile robotic platform. So products are moved from a grid to robotic, or human augmented, baking stations. Ocado makes these robots with conventional manufacturing processes. And they're-- which are slow, clunky, heavy, and they're looking to develop high performance robots that can be deployed very quickly from design to product in a matter of days.
So Ocado is going to manufacture their next generation of robots with 3D printing and the Inkbit technology. And this gives you a view of what a future robot looks like that is 3D printed.
This is another example of another customer of ours. So aircraft assets throughout the Air Force require a whole range of ground support equipment. And the Air Force is looking to be much more agile adaptable to the needs of this national or global support network. Just to give you an example, if the ground support crew is missing a scraper to clean the windshield of an F-35, and the maintenance crew cannot find the scraper, the aircraft does not fly. So the Air Force is looking to be much more responsive, agile, and be able to circumvent traditional purchasing and procurement air processes with 3D printing.
This is one of our systems. This is our Vista machine at our customer site in Nevada. They're using our machine to manufacture complex integrated robotic components that can be manufactured any other way. As 3D printing moves from being a prototyping to a manufacturing technology, it needs to deliver on these three key requirements, which is the parts need to fit repeatably, and accurate, and precisely. The materials the parts are made out of need to be-- satisfy the requirements of the application.
And in many cases, this is very high performance requirements. And the technologies cannot be slow and expensive. They need to deliver on the throughput and the economic requirements of the application. And with Inkbit, our product incorporating technology we call vision control jetting, this is a technology we developed at MIT, which incorporates industrial inkjet 3D printing hardware with an [? NC ?] to 3D scanning and machine vision technology that with both feedback control algorithms and machine learning controls the part printing process in real time to deliver the best parts with exceptional materials.
We started out of MIT, actually the lab of Wojciech Matusik at CSAIL, who's I think here in the audience. We've developed the technology with wide variety of both investor and customer partners. And last year, we started shipping and installing our first systems. Today, we print a range of components primarily in single materials. We can also bring multi-material components that incorporate rigid and soft parts in one part.
And looking forward, we'll be incorporating hybrid manufacturing technologies that can enhance parts functionality and develop components that can be-- that can incorporate both computation and sensing in a part. We're looking for partners in a variety of spaces. So if you're any of these categories, we probably have a interesting solution to use. So just come by our booth. We have a lot of really cool parts that you can touch and look at. So come by to our booth. Thank you.
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Interactive transcript
JAVIER RAMOS: Good morning. We also don't have large language models. So I'm Javier. I'm excited to be here. You're all too familiar with this picture. This is the Ever Given stuck in the Suez Canal during the pandemic. And this made one thing very clear. We've relied on a very vast interconnected, delicate, and fragile global manufacturing network. This has brought an interest to rebuff our a national manufacturing chain and develop local and regional manufacturing networks.
There's a parallel and complementary trend, which is companies want to innovate faster. They want to go to market faster. And they want to develop products that are tailored, or custom, for each customer, every application. We're moving from a paradigm of manufacturing a million widgets a year to a new paradigm where products are made to a customer and to a specific application. And this ultimately delivers higher value to customers and the manufacturing company.
Just want to make this case very vivid. This is one of our customers, [? Ocado. ?] They manufacture an e-commerce fulfillment robotic platform that's based on a grid system with a robotic-- mobile robotic platform. So products are moved from a grid to robotic, or human augmented, baking stations. Ocado makes these robots with conventional manufacturing processes. And they're-- which are slow, clunky, heavy, and they're looking to develop high performance robots that can be deployed very quickly from design to product in a matter of days.
So Ocado is going to manufacture their next generation of robots with 3D printing and the Inkbit technology. And this gives you a view of what a future robot looks like that is 3D printed.
This is another example of another customer of ours. So aircraft assets throughout the Air Force require a whole range of ground support equipment. And the Air Force is looking to be much more agile adaptable to the needs of this national or global support network. Just to give you an example, if the ground support crew is missing a scraper to clean the windshield of an F-35, and the maintenance crew cannot find the scraper, the aircraft does not fly. So the Air Force is looking to be much more responsive, agile, and be able to circumvent traditional purchasing and procurement air processes with 3D printing.
This is one of our systems. This is our Vista machine at our customer site in Nevada. They're using our machine to manufacture complex integrated robotic components that can be manufactured any other way. As 3D printing moves from being a prototyping to a manufacturing technology, it needs to deliver on these three key requirements, which is the parts need to fit repeatably, and accurate, and precisely. The materials the parts are made out of need to be-- satisfy the requirements of the application.
And in many cases, this is very high performance requirements. And the technologies cannot be slow and expensive. They need to deliver on the throughput and the economic requirements of the application. And with Inkbit, our product incorporating technology we call vision control jetting, this is a technology we developed at MIT, which incorporates industrial inkjet 3D printing hardware with an [? NC ?] to 3D scanning and machine vision technology that with both feedback control algorithms and machine learning controls the part printing process in real time to deliver the best parts with exceptional materials.
We started out of MIT, actually the lab of Wojciech Matusik at CSAIL, who's I think here in the audience. We've developed the technology with wide variety of both investor and customer partners. And last year, we started shipping and installing our first systems. Today, we print a range of components primarily in single materials. We can also bring multi-material components that incorporate rigid and soft parts in one part.
And looking forward, we'll be incorporating hybrid manufacturing technologies that can enhance parts functionality and develop components that can be-- that can incorporate both computation and sensing in a part. We're looking for partners in a variety of spaces. So if you're any of these categories, we probably have a interesting solution to use. So just come by our booth. We have a lot of really cool parts that you can touch and look at. So come by to our booth. Thank you.