Artificial intelligence startup AI Squared Inc. today announcement that it raised a $6 million seed funding round led by NEA, with participation from Ridgeline Partners.
Companies are adopting AI in their business operations to automate manual tasks and increase operational efficiency. One of the most common ways for enterprise software teams to implement AI is to add machine learning capabilities to internal applications. A retailer’s development team, for example, can equip the internal sales tracking application with a neural network that can predict future customer demand.
Integrating a neural network into an application is a very complicated process. The task can take months and in some cases requires the involvement of multiple business units. AI Squared offers a low-code platform that it claims will speed up the process of integrating AI models into applications by 85%.
“If you’re a data scientist or engineer struggling to quickly integrate machine learning into your web-based business applications due to deployment and development complexity, we’ve got you covered,” said said the general manager of AI Squared. Officer Benjamin Harvey (pictured). “AI Squared is the easiest way to enable end users to leverage AI and ML results that are accurate, actionable, relevant, timely, and contextualized for in-app business intelligence.”
The Squared AI platform provides several tools to facilitate AI development tasks.
The startup offers a browser extension that allows developers and other users to run neural networks in their browsers. The extension allows you to edit code, as well as access the results of calculations of an AI model. To perform complex processing tasks, developers can deploy multiple AI models.
Before deploying a new neural network, software teams often apply performance optimizations to ensure that the neural network will perform efficiently once in production. Squared AI’s technology also simplifies this task. According to the startup, its platform allows developers to remove unnecessary components from their neural networks and perform other optimizations that can reduce the hardware requirements of an AI model by up to 90%.
AI squared would have has a cooperative development and research agreement with the NSA as well as a contract with the Johns Hopkins University Applied Physics Laboratory. Additionally, the startup has partnered with Nvidia Corp., Microsoft Corp. and other major technology companies.
“AI Squared empowers enterprises to unleash the magic of AI through an easy-to-integrate, low-code platform aimed at making businesses smarter, more efficient, and more innovative,” said NEA Venture Partner Greg Papadopoulos. .
Squared AI will use the recently announced $6 million funding round to develop more features for its platform. The startup also plans to beef up its engineering, sales, and marketing teams.