LivingFilters
LivingFilters develops AI-designed proteins, called binders, that act as biosensors and filters to capture specific contaminants in water. The platform uses the target molecule as a seed for AI-driven backbone design, generating custom protein structures that bind with molecular precision. These binders are integrated into yeast-based filtration modules for highly selective removal of emerging contaminants like medicine residues, pesticides, and heavy metals.
- Biotechnology
- Artificial Intelligence
- Clean Technology
- Hardware
Funding
Founders
Founder details are not available yet.
Product
Problem
Emerging contaminants such as medicine residues, pesticides, hormones, nanoplastics, microbes, and heavy metals are accumulating in water systems, yet conventional filtration was never designed to remove them. New synthetic molecules enter water systems faster than purification infrastructure can adapt, and existing treatment methods are expensive, energy-intensive, and lack molecular specificity.
Solution
LivingFilters develops AI-designed proteins, called binders, that act as biosensors and filters to capture specific molecules, substances, or pathogens in water. The platform uses the target molecule as a seed for AI-driven backbone design, generating custom protein structures that wrap around and bind with molecular precision. A sequence design model determines the exact amino acid sequence needed to create the protein structure with optimal binding properties, while a prediction model validates the final structure. These binders are integrated into yeast-based filtration modules for highly selective removal of contaminants, achieving efficient purification with low environmental impact. The modular platform integrates into existing water and industrial infrastructure, solving complex purification challenges with precision.
Target Audience
Water treatment facilities, industrial purification operations, and environmental monitoring organizations that need to remove emerging contaminants conventional filtration cannot address, as well as food supply chain operators requiring molecular detection solutions.
Features
- AI-driven protein backbone design seeded by the target molecule, enabling custom binders for specific contaminants
- Sequence design model that determines optimal amino acid sequences for binding properties
- Structure prediction model that validates the designed protein's ability to capture the target molecule in a secure binding pocket
- Binder-integrated filtration modules built into yeast-based materials for highly selective contaminant removal
- AI-powered biosensing for rapid, reliable detection of molecules in water systems and food supply chains, including plate-based probe assays and rapid test kits for laboratory and field deployment
- Modular platform that integrates into existing water and industrial infrastructure