AI models not only take time to build and train, but also to deploy in an organization’s workflow. That’s where MLOps (machine learning operations) companies come in, helping clients scale their AI technology. InfuseAI, an MLOps startup based in Taiwan, announced today it has raised a $4.3 million Series A, led by original design manufacturer Wistron Corporation, with participation from Hive Ventures, Top Taiwan Venture Capital Group, Silicon Valley Taiwan Investments and 500 Startups.
Founded in 2018, InfuseAI says the market for MLOps solutions is worth $30 million a year in Taiwan, with the global market expected to reach about $4 billion by 2025, according to research firm Cognilytica. Its clients include E.SUN (one of Taiwan’s largest banks), SinoPac Holdings and Chimei.
Enterprise companies find MLOps critical for reliability and performance
InfuseAI helps companies deploy and manage machine learning models with turnkey solutions like PrimeHub, a platform that includes a model training environment, cloud or on-premise cluster computing (including container orchestration with Kubernetes) and collaboration tools for teams. Another product, called PrimeHub Deploy, lets clients train, deploy, update and monitor AI models.
In a press statement, Hive Ventures founder and managing partner Yan Lee said, “As enterprises from manufacturing, healthcare, finance and other sectors seek to scale their AI operations and model deployments, they will require a platform like InfuseAI to allow seamless collaboration between developers and data scientists. InfuseAI fits perfectly into our investment thesis which is focused on platforms and software in the enterprise adoption cycle.”
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