Navigating 10^1000 variants was impossible. A model designed novel proteins, boosting stem cell marker expression >50x over controls.
A longevity biotech startup working to extend human healthspan by optimizing the proteins responsible for cellular reprogramming and rejuvenation.
The standard reprogramming process is notoriously inefficient, with conversion rates typically below 0.1% and timelines exceeding three weeks....
“When researchers bring deep domain insight to our language-model tooling, problems that once took years can shift in days. We look forward to seeing what other advances emerge as more teams pair their expertise with the models we’re building.”
Biotechnology firm targeting cellular aging to increase healthy human lifespan.
AI research and deployment company developing generative models and tools.
Related implementations across industries and use cases
Traditional discovery yields 0.1% success. 310 AI used high-memory GPUs to screen 150k candidates in days, reaching 67% success.
Matching phages required screening trillions of options. Gen AI simulates interactions, cutting discovery from 10 years to 2 months.
Physics simulations took weeks to screen libraries. Boltz-2 runs 1,000x faster, cutting this to hours with 2x precision.
Traditional discovery yields 0.1% success. 310 AI used high-memory GPUs to screen 150k candidates in days, reaching 67% success.
Matching phages required screening trillions of options. Gen AI simulates interactions, cutting discovery from 10 years to 2 months.
Manual scheduling trapped recruiters in logistics. AI now automates interview coordination, freeing teams for strategic work.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Navigating 10^1000 variants was impossible. A model designed novel proteins, boosting stem cell marker expression >50x over controls.
A longevity biotech startup working to extend human healthspan by optimizing the proteins responsible for cellular reprogramming and rejuvenation.
The standard reprogramming process is notoriously inefficient, with conversion rates typically below 0.1% and timelines exceeding three weeks....
“When researchers bring deep domain insight to our language-model tooling, problems that once took years can shift in days. We look forward to seeing what other advances emerge as more teams pair their expertise with the models we’re building.”
Biotechnology firm targeting cellular aging to increase healthy human lifespan.
AI research and deployment company developing generative models and tools.
Related implementations across industries and use cases
Traditional discovery yields 0.1% success. 310 AI used high-memory GPUs to screen 150k candidates in days, reaching 67% success.
Matching phages required screening trillions of options. Gen AI simulates interactions, cutting discovery from 10 years to 2 months.
Physics simulations took weeks to screen libraries. Boltz-2 runs 1,000x faster, cutting this to hours with 2x precision.
Traditional discovery yields 0.1% success. 310 AI used high-memory GPUs to screen 150k candidates in days, reaching 67% success.
Matching phages required screening trillions of options. Gen AI simulates interactions, cutting discovery from 10 years to 2 months.
Manual scheduling trapped recruiters in logistics. AI now automates interview coordination, freeing teams for strategic work.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.