Foundry BioSciences
Protein AI for Longevity
Pioneering the frontier of protein engineering with AI
to extend longevity and elevate quality of life
Vision & Mission
Impact
Revolutionizing longevity science through AI-driven protein engineering to improve lives globally.
Vision
To become a leading company in developing and utilizing advanced protein language models to provide innovative solutions to aging concerns.
Mission
Developing protein language models to unlock novel sequences that benefit our users, partners and patients around the world.
Immune System Weakening
Immunosenescence reduces the body's ability to fight infections and clear damaged cells.
Metabolic Decline
Reduced metabolic efficiency leads to energy production issues and increased oxidative stress.
Aging Concerns
Cellular Aging
Accumulation of cellular damage leads to decreased function and resilience over time.
Protein Dysfunction
Misfolded proteins and declining enzyme efficiency contribute to age-related diseases.
Current anti-aging products often show minimal results and lack scientific validation.
High Development Costs
Market Challenges
Limited Efficacy
Traditional protein engineering methods are expensive and time-consuming.
Innovation Bottlenecks
Lack of computational tools to efficiently explore the vast protein sequence space.
Extended Timelines
Current development cycles for therapeutic proteins can take 5-10 years from concept to market.
SERVICES
Addressing the challenges of aging and age-related conditions
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
CONTACT
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