Matching phages required screening trillions of options. Gen AI simulates interactions, cutting discovery from 10 years to 2 months.
A biotech startup combating antimicrobial resistance, where one in three antibiotics is ineffective in animal farming and traditional drug development takes ten years.
Finding the right virus to neutralize specific bacteria required manually screening trillions of potential combinations. This exponential complexity...
“With Amazon SageMaker AI, we can create and run gen AI models that rapidly match phages to each target bacteria, which takes phage therapy from a manual trial-and-error process to precision medicine at scale.”
AI-powered phage therapy platform for sustainable bacterial treatment in livestock.
Cloud computing platform and on-demand infrastructure services.
Phagos's Drug discovery is part of this use case:
Related implementations across industries and use cases
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Navigating 10^1000 variants was impossible. A model designed novel proteins, boosting stem cell marker expression >50x over controls.
Manual coaching bottlenecked reps. An AI bot now simulates doctor visits in 14 scenarios, saving 7,000 hours annually.
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Navigating 10^1000 variants was impossible. A model designed novel proteins, boosting stem cell marker expression >50x over controls.
Every update meant re-recording across five teams. Now a script upload produces multilingual medical video without a single studio session.
30-minute report-digging kept fleet audits chronically deferred. Now one prompt delivers every device, flag, and follow-up emails at once.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
Matching phages required screening trillions of options. Gen AI simulates interactions, cutting discovery from 10 years to 2 months.
A biotech startup combating antimicrobial resistance, where one in three antibiotics is ineffective in animal farming and traditional drug development takes ten years.
Finding the right virus to neutralize specific bacteria required manually screening trillions of potential combinations. This exponential complexity...
“With Amazon SageMaker AI, we can create and run gen AI models that rapidly match phages to each target bacteria, which takes phage therapy from a manual trial-and-error process to precision medicine at scale.”
AI-powered phage therapy platform for sustainable bacterial treatment in livestock.
Cloud computing platform and on-demand infrastructure services.
Phagos's Drug discovery is part of this use case:
Related implementations across industries and use cases
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Navigating 10^1000 variants was impossible. A model designed novel proteins, boosting stem cell marker expression >50x over controls.
Manual coaching bottlenecked reps. An AI bot now simulates doctor visits in 14 scenarios, saving 7,000 hours annually.
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Navigating 10^1000 variants was impossible. A model designed novel proteins, boosting stem cell marker expression >50x over controls.
Every update meant re-recording across five teams. Now a script upload produces multilingual medical video without a single studio session.
30-minute report-digging kept fleet audits chronically deferred. Now one prompt delivers every device, flag, and follow-up emails at once.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.