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.
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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.
Predicting a single protein binding took 2,000 hours. Deep learning models now complete the task in just 15 minutes.
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.
Attorneys juggled fragmented tools to search 50,000 cases. An AI orchestrator now routes queries to sub-agents in a single chat.
Scattered data slowed prep for 15-minute visits. AI now fuses insights into instant briefs, saving reps one full day of admin weekly.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.