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Case studies

Hear from our customers how they leverage Algorithmia to operationalize their machine learning use cases, transforming how they conduct business.

CASE STUDY

CEMEX: Cementing ML success with AI governance

Hear how CEMEX uses Algorithmia to secure and govern global ML applications.

CASE STUDY

Merck

Learn how Merck is using Algorithmia’s MLOps platform to accelerate vaccine research and discovery.

CASE STUDY

Deloitte: Building a best-in-class customer experience platform

Learn how Deloitte uses Algorithmia to improve customer experience with best-in-class MLOps.

CASE STUDY

Happy Money

Learn how Happy Money dramatically sped up ML model iteration time with help from Algorithmia.

Case study

EY

Learn how Algorithmia is able to support EY in delivering a scalable ML service that allows EY's clients to deploy models quickly and securely, ensuring continuity of business with zero downtime.

Case study

Toyota insurance branch MS&AD

Toyota's insurance group increased their models in production by 75 percent when they used Algorithmia as their deployment platform.

Case Study

Tevec

Tevec is a supply chain recommendation platform that uses machine learning to forecast demand and suggest optimized replenishment/fulfillment order for logistics chains. See how Algorithmia enables Tevec's goals.

Case Study

United Nations

Algorithmia partnered with the UN to build a repository of algorithms that are available to every member state to aid in smarter social, health, environmental, and economic decision making.