Arrikto, a Scale Up Cohort 2 member (acquired by Hewlett-Packard), helps companies speed up the process of deploying machine learning models by up to 30 times compared to traditional methods. Their platform, Enterprise Kubeflow, automates complex workflows and ensures that machine learning projects are easily repeatable and deployable across different environments, from a developer’s desktop to major cloud platforms like AWS, GCP, and Azure.

For example, if a Fortune 500 company is working on an AI-driven project, Arrikto’s platform allows their team to quickly develop, test, and deploy machine learning models without getting bogged down in technical complexities. This means they can bring AI products to market much faster while ensuring that their data and models remain secure and consistent. With over 300 clients worldwide, Arrikto is making it easier for businesses to harness the power of AI and drive innovation more efficiently.

Arrikto has raised $14.8M from investors such as Samsung Next Ventures, Unusual Ventures, Odyssey Ventures, and Fox Ventures. 

Arrikto in Three:

What problem is Arrikto solving? Arrikto addresses the slow and complex deployment of machine learning models, enabling MLOps teams to accelerate model delivery to market.

What’s innovative about Arrikto? As a leading Kubeflow contributor, Arrikto offers automated, reproducible pipelines and seamless deployment across desktop and cloud environments, optimizing the MLOps process.

Who can use Arrikto’s platform? MLOps teams, data scientists, and enterprises seeking to streamline machine learning model deployment, accelerate time-to-market, and manage data securely.