AI presents a steep design challenge. Building deep learning into software and devices requires a specialized set of advanced skills not possessed by most mortals. But Seattle area-based Dimensional Mechanics has ambitiously set out to change just that. “Our goal is to democratize AI, with a lower barrier to entry, operationalized AI, and ubiquitous deployment across environments and devices,” says CEO and founder Rajeev Dutt.
Their plan is to automate the creation of AIs for almost any intended purpose, by creating AI Studio, a low-code, declarative AI modeling platform, coupled with NeoPulse, an application or device-deployed runtime that can query and create additional AI models on its own. According to Dimensional Mechanics, they can shave up to 99% of the time and cost of generating new machine learning functions in apps, with resulting modeling that is twice as accurate.
This company is biting off a lot of intended functionality in its bid to take ‘AI Everywhere’ – still, working versions of its platform are available in the AWS and Azure marketplace as well as a toolkit and API for developers, and several large enterprises and academic institutions are under way with machine learning projects using their solution.
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