Foundry BioSciences
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AI-Drive Protein Engineering

Cutting-edge protein language models with experimental validation 

to design optimized proteins with superior properties for longevity and healthspan applications

Enhanced Efficacy
Engineered proteins with 10-100x improved activity compared to natural variants
Scalable Platform
Targeted Design
Precisely engineered proteins that address specific aging mechanisms
Accelerated Discovery
AI-driven platform reducing protein engineering timelines from years to months
Technology applicable across diverse protein families and applications
100x
Generating proteins with over 100-fold greater activity compared to wild-type sequences
Activity Boost
Rapidly reaching high-performance outcomes with minimal experimental effort
Trials to Success
<60
TECHNOLOGY
Input Sequence

Initial protein sequences as the starting point for analysis

Active Learning
Continuous improvements driven by experimental feedback cycles
LLM Processing
Protein language models analyze the input and generate optimized protein candidates
Guided Evolution
Optimized proteins generated through iterative refinement guided by performance data
10x
Unmatched gains in speed and precision across the protein engineering process
Engineering Efficiency

AI-Drive Protein Engineering

Cutting-edge protein language models with experimental validation 

to design optimized proteins with superior properties for longevity and healthspan applications

Scalable Platform
Enhanced Efficacy
Targeted Design
Precisely engineered proteins that address specific aging mechanisms
Engineered proteins with 10-100x improved activity compared to natural variants
Accelerated Discovery
AI-driven platform reducing protein engineering timelines from years to months
Technology applicable across diverse protein families and applications
100x
Generating proteins with over 100-fold greater activity compared to wild-type sequences
Activity Boost
Rapidly reaching high-performance outcomes with minimal experimental effort
Trials to Success
<60
TECHNOLOGY
Input Sequence

Initial protein sequences as the starting point for analysis

Active Learning
Continuous improvements driven by experimental feedback cycles
LLM Processing
Protein language models analyze the input and generate optimized protein candidates
Guided Evolution
Optimized proteins generated through iterative refinement guided by performance data
10x
Unmatched gains in speed and precision across the protein engineering process
Engineering Efficiency

AI-Drive Protein Engineering

Cutting-edge protein language models with experimental validation 

to design optimized proteins with superior properties for longevity and healthspan applications

Enhanced Efficacy
Engineered proteins with 10-100x improved activity compared to natural variants
Scalable Platform
Targeted Design
Precisely engineered proteins that address specific aging mechanisms
Technology applicable across diverse protein families and applications
Accelerated Discovery
AI-driven platform reducing protein engineering timelines from years to months
TECHNOLOGY
100x
Generating proteins with over 100-fold greater activity compared to wild-type sequences
Activity Boost
Input Sequence

Initial protein sequences as the starting point for analysis

10x
Unmatched gains in speed and precision across the protein engineering process
Engineering Efficiency
Optimized proteins generated through iterative refinement guided by performance data
Guided Evolution
Active Learning
Continuous improvements driven by experimental feedback cycles
Trials to Success
<60
Rapidly reaching high-performance outcomes with minimal experimental effort
LLM Processing
Protein language models analyze the input and generate optimized protein candidates