Our Mission – the leading MLOps company that brings together data scientists and DevOps
A complete machine learning platform that simplifies, accelerates, and secures model development through production
Today, organizations are embarking on digital initiatives to transform the customer experience and unlock new revenue streams. To operationalize these efforts, DevOps continuous workflows and cloud native patterns have been widely adopted to manage code that is being deployed at scale. But while software may be eating the world, it is the data that is defining market leadership (think Uber and taxis, Airbnb and hospitality, or Amazon and retail). How efficiently data is managed and how well it is modeled and leveraged into machine learning algorithms now determines the size of the ‘competitive moat’ a leader has in their industry.
What Most MLOps Companies Miss: Managing Data as Code
Our mission at Arrikto is apply the same DevOps principles used for software development and infrastructure deployment toward data managed across the machine learning lifecycle – in effect, treating ‘Data as Code’ along every dimension: from CI/CD through versioning, lineage, packaging, differential tracking, cloning, branching, merging, collaboration, and secure access. Learn more about how we think about Data as Code here.
Arrikto, unlike other MLOps companies, enables MLOps teams to accelerate machine learning models to market 30-times faster than traditional ML platforms. As a leading Kubeflow contributor, Arrikto provides automated workflows, reproducible pipelines, consistent deployment from desktop to cloud, and secure access to data. Arrikto’s Enterprise Kubeflow is available as a multi-node distribution on AWS, GCP, and Azure, and is the preferred MLOps platform used in production today by many Fortune 500 enterprises. The company has over 300 customers across 17 countries and is venture backed by Unusual Ventures and Odyssey VP.