3D printing software developer Ai Build has introduced new software that allows users to fine-tune 3D models for proposed prints using text prompts.
Designed to speed up the process of creating even the most advanced multi-axis instrument paths via a single, easy-to-use user interface, Talk to AiSync simplifies the process by replacing manual coding with visual programming. For now, the company’s software has only been made available to beta testing partners, but once the kinks and limitations of the product are identified, it’s earmarked for a broader release.
“Special thanks to my co-founder Michel Decilas who moved mountains to reach this breakthrough on time and on budget with his design,” said Dagan Kam, co-founder of Ai Build. “[It was a] A massive team effort to unlock the full potential of additive manufacturing with our partners and customers. We’re just scratching the surface of AI’s generative potential.”
Ai Build arrives on the AM scene
Ai Build is based in London and is a software-as-a-service (Saas) company that specializes in developing 3D printing automation software. Since the company’s founding in 2015, Desyllas and Cam have strived for a way to decisively eliminate the risk of human error in additive manufacturing, and the need for extensive expertise to maximize technology productivity.
According to the entrepreneurs, 3D printing makes it possible to create lightweight parts from fewer materials than traditional production methods allow. However, they also say the process is error-prone, which limits its deployment to safety-critical applications.
To overcome this problem, Ai Build has developed a way to fully automate additive manufacturing, from plan to print, radically improving speed, quality, and scalability. In doing so, the company is proud to have created a tool for expanding the technology’s applications, and is now working with partners to realize its potential.
Prior to the full commercial launch of Talk to AiSync, Ai Build began working with several industry powerhouses including Meltio, Weber Additive, Q5D Technology, CEAD, Massive Dimension, Dyze Design, and 2KM. As a result, the software is already being tested on machines based on solid-state, extrusion, and multi-axis robotic technologies, in a way that bodes well for its future compatibility.
How does Talk to AiSync work?
Talk to AiSync is primarily designed by combining Ai Build’s visual toolpath programming engine with OpenAI’s large language model, GPT. Infused with years of real-world manufacturing data in the company’s AiLab, the technology allows users to make changes to 3D models via simple text inputs such as “cut part with 2 mm layer height.” or “Gradually raise the filling in the last few layers.”
While not designed to completely replace designers or engineers, since human input is still a big part of the decision-making process when using software, Ai Build says it “elevates the user experience.” In particular, the company anticipates that the automation benefits of its software will “significantly lower the barriers to entry” in 3D printing, by allowing new adopters to bypass costly trial and error.
Ai Build also says that Talk to AiSync’s accessible user interface will enable engineers to “optimize production at breakneck levels,” by letting them focus on creating complex designs over mastering interfaces. Ultimately, in addition to reducing average “design to production” times, the company sees its technology address areas such as sand casting applications, manifold, tooling, handle, and mold production.
Those who want to give the software a try can contact Ai Build to request early access here.
3D printing technologies based on artificial intelligence
As in consumer technology, artificial intelligence (AI) is gaining increasing traction as a way to automate often tedious tasks. In R&D applications, machine learning algorithms driven by artificial intelligence have previously been developed by researchers at Lehigh University, which are able to accelerate the discovery of 3D printing materials.
At University College London (UCL), another team has managed to use artificial intelligence and X-ray imaging to 3D print a lost painting by Vincent van Gogh. The researchers did this by feeding captured imaging data into an artificial intelligence algorithm capable of extrapolating the artist’s style, which then created a 3D model of what the original might look like.
Recently, a team made up of engineers at five research institutes of the Fraunhofer Foundation unveiled an AI-driven co-implant 3D printing workflow. The robotic implant design process, in which AI is deployed to convert 2D X-ray images into 3D finger models, is said to not only enable correction of finger positioning problems, but also facilitate the creation of frictionless parts, while reducing post-processing needs.
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Featured images show engineers using Ai Build’s Talk to AiSync software. Image via Ai Build.