Scaling Antimicrobial Discovery
with AI
Karalis AIbridge molecular design and microbiological performance to combat drug-resistant bacteria.
Mechanistically informed. Biologically validated.Powered by pretrained neural networks for antimicrobial resistance and beyond.
Who we are
Karalis AI is a biotech startupbased in Cagliari, Italy
Predicting Real Microbiological Performance
We bridge computational molecular design with real microbiological performance —building predictive pipelinesthat go beyond docking to capture permeability, accumulation, and transporter interactions.
From AMR to Broad Biotech Applications
Ourpretrained SMILES and NMR autoencoderspower a versatile platform, enabling models developed for AMR to scale across molecular prediction and experimental data integration.
Our Key Partners
Overview
Why Karalis AI isdifferent
01
AMR Domain Expertise
20+ years of research, leadership in EU-funded programs (Marie Curie, IMI, JPIAMR)
02
Mechanistic AI
Neural networks trained on biological transport, membrane permeability, and compound activity
03
Pretrained Autoencoders
Proprietary SMILES & NMR models, adaptable across biotech domains
04
Validated Science
Predictions supported by docking, MD simulations, and spectroscopy
How we help
Precision tools forbiotech and pharma— built for strategic investors
For Pharma and Biotech
- De-risk early discovery with mechanism-aware filters
- Reduce attrition with better hit selection
- Accelerate lead optimization with biology-grounded insights
- Extend AI models to peptides, small molecules, and conjugates
For Investors
- Positioned in the $50B+ AMR market with scalable computational tools
- Proprietary pretrained autoencoders ensure versatility across biotech domains
- Founded by scientists with a track record of translational research and innovation
Mechanistic filters
Trojan-horse antibiotics
Siderophore uptake
Antibiotic modeling
Peptide delivery
Drug discovery
AMR
Pretrained models
Peptides
Proprietary tech
Backed byScience
Our team brings together expertise in molecular dynamics, docking, and spectroscopy—grounded in real biology. With deep experience in AI models like SMILES and NMR autoencoders, we apply proven science to solve complex biotech challenges.
Latest news & insights
Fight drug resistance with AI-driven tools
Let’s discuss how we can power your next discovery project