Tangram Therapeutics
Drug discovery
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
- Up to 50x faster target assessment
- 300x increase in data processing volume
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.
Generic AI mangled chemistry terms; manual translation took months. Glossary-tuned AI now earns enough trust to publish before human review.
A maze of disconnected systems obscured global trial visibility. Now, a digital twin guides AI to automate heavily regulated workflows.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
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.
Generic AI mangled chemistry terms; manual translation took months. Glossary-tuned AI now earns enough trust to publish before human review.
A maze of disconnected systems obscured global trial visibility. Now, a digital twin guides AI to automate heavily regulated workflows.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.