MLOps startups

After the pandemic’s hit, enterprises across the world have doubled down on artificial intelligence and machine learning to boost their digital journeys to survive in the market. On the other hand, digitalization demands new processes to train, split, develop, test, and deploy Machine Learning models. And from their MLOps is born. Many of the MLOps startups have raised funding this year to scale up their businesses to heights, innovating the best. According to Deloitte, MLOps startups have a great potential to generate annual revenue of US$4 billion by 2025. 

Landing AI raises US$57 Million 

Landing AI is one of the MLOps startups that focuses on MLOps that collaborates between data scientists and IT professionals intending to produce AI systems. LandingLens provides low-code and no-code visual inspection tools that enable computer vision engineers to test, train, and deploy AI systems to edge devices like laptops. This MLOps startup has raised a funding of about US$57 Million to help manufacturers adopt computer vision. 

Iterative raises US$20 Million 

Iterative is an open-source startup that is building an enterprise AI platform to aid companies to operationalize their models has received US$20 million for its MLOps startups funding in the Series A round led by 468 Capital and Mesosphere. The main idea behind this is to provide data scientists and data engineers with a platform that closely imitates a modern GitOps-driven development stack. 

NimbleBox.ai raises US$1 Million 

NimbleBox.ai is a TechStars portfolio company that aims to build and provide a complete toolkit focused on artificial intelligence. The full-stack MLOps platform is purpose-built for large datasets and supports all major machine learning frameworks. This is one of the MLOps startups funding that raised about US$ 1 million. 

Domino Data Labs raised US$100 Million 

Domino is an artificial intelligence startup that received about US$100 million in funding. Domino competed in the MLOps product category. The platform says that its platform allows IT teams to allocate hardware resources to data science teams using a centralized interface with point-and-click controls. 

Comet raised US$13 Million 

Comet is one of the MLOps startups that received funding of about US$13 million in a Series A funding that was led by Scale Venture Partners. MLOps encompasses the ways organizations deploy or build models. It can generate annual revenues above US$4 billion by 2025. Comet provides self-hosted and cloud-based MLOps solutions that permit data scientists and engineers to track, optimize, and compare experiments and models. 

InfuseAI raises US$4.3 Million 

InfuseAI is one of the MLOps startups that raised about US$4.3 million in the Series A round, led by original design manufacturer Wistron Corporation with participation from Hive Ventures, Silicon Valley Taiwan Investments, and 500 Startups. The company says that the market for  MLOps solutions is worth US$20 million a year in Taiwan with a global market that is likely to rise by US$4 billion by 2025.