Ordaōs: Discovering life-saving drugs faster with Google Kubernetes Engine
Customer Company Size
Startup
Region
- America
Country
- United States
Product
- Google Kubernetes Engine
- Google Cloud SQL
- Google Cloud Storage
- Memorystore for Redis
- AlphaFold
Tech Stack
- Kubernetes
- Generative AI
- SQL Databases
- Cloud Computing
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
- Innovation Output
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
- Analytics & Modeling - Generative AI
- Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries
- Healthcare & Hospitals
- Life Sciences
Applicable Functions
- Product Research & Development
- Business Operation
Use Cases
- Machine Condition Monitoring
- Remote Asset Management
Services
- Cloud Planning, Design & Implementation Services
- System Integration
About The Customer
Ordaōs is a human-enabled, machine-driven drug design company that focuses on AI-driven drug discovery. The company is on a journey to overcome the industry’s dependency on chance with an AI-based approach to intelligent drug design. Ordaōs uses generative AI to design mini-proteins, achieving better results 30x faster than traditional discovery methods. The company relies on its cloud computing capabilities to design, process, and analyze data for millions of protein structures. As a leader in AI-driven drug discovery, Ordaōs needed a cloud partner that could support larger-scale data sets as its operations grew.
The Challenge
Managing and processing terabytes of data is a monumental task, but for Ordaōs, doing so effectively is a core business offering. With its previous cloud provider, the company experienced outages that impacted its ability to work on projects. The company began its search for alternative cloud solutions and found close alignment between its own roadmap and Google Cloud AI. It also saw value in other partnerships available through Google Cloud, including AlphaFold, an AI program that predicts protein structures. The organization was also looking for more ways to optimize the performance of its SQL databases running on Kubernetes.
The Solution
Ordaōs moved its cloud computing and storage to Google Cloud Storage and Google Kubernetes Engine to achieve increased flexibility and easier scalability as it took on new, larger AI projects. With GKE, Ordaōs has access to a scalable, automated Kubernetes service. Combined with Cloud SQL, which provides the company with complete database management, Ordaōs is able to set itself up to grow. The company worked with Google Cloud partner Persistent to support its small team during the migration. Ordaōs connected its GKE clusters to Memorystore for Redis, an in-memory service that reduces application latency, to support event-driven scaling via KEDA.
Operational Impact
Quantitative Benefit
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