Tempus
Agent Builder
Making generative AI simple, usable and compliant for everyone
Problem
Tempus is looking to offer a plethora of AI apps and ML models that improve the standard of care as companion diagnostics to patients. The current process to build, validate and deploy models is not scalable.
Bringing validated machine learning models to market is slow and expensive, because:
1. Finding the genomics data you need is slow.
2. Deploying ML models in scalable cloud environments is hard.
3. Keeping track of different components of research is messy.
Solution
A research platform experience that allows researchers to
Easily find and use structured data and pre-built ML models for research from a marketplace.
Deploy and monitor models in fully-managed scalable environments.
The platform is based on standardization of three core components of a machine learning model: Data, Code, and Pipelines.
Designs
A web-based app that simplifies the process by providing a step by step guided wizard with self serve tooling.
Marketplace for data and ML models
Find and use structured genomics data and pre-built ML models for your research.
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Bring your own data
Easily integrate and structure your own data to be used in research through no-code visual tools.
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Package, deploy, and monitor ML models
No-code, click-through experience for packaging and deploying models without needing IT, software engineering, or DevOps knowledge.
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User Research
Personas
The platform is based on standardization of three core components of a machine learning model: Data, Code, and Pipelines.
User needs
The platform is based on standardization of three core components of a machine learning model: Data, Code, and Pipelines.
