back to company universe
AI infrastructure

Evolvere BioSciences

🦠🤖 We use our computational models to make next-generation antibiotics that outcompete bacterial evolution and precisely target pathogenic bacteria, without harming good microbes or human cells. ☠️ Current antibiotics stop working because bacteria evolve resistance to them. This makes drug-resistant bacteria a looming global health crisis - already killing more people than malaria and AIDS and it is getting exponentially worse 📈. 🧬 Our approach leverages co-evolutionary protein-protein inter

sources
1
Evidence entries preserved.
affiliations
1
Y Combinator
competitors
6
Mapped from High Signal graph features.
status
generated
D1 lookup
last updated
2026-07-15
16:41 UTC
source evidence
Why this company exists here

Y Combinator

yc-company-directory #2901

🦠🤖 We use our computational models to make next-generation antibiotics that outcompete bacterial evolution and precisely target pathogenic bacteria, without harming good microbes or human cells. ☠️ Current antibiotics stop working because bacteria evolve resistance to them. This makes drug-resistant bacteria a looming global health crisis - already killing more people than malaria and AIDS and it is getting exponentially worse 📈. 🧬 Our approach leverages co-evolutionary protein-protein inter

source
generated read
High Signal interpretation

Evolvere BioSciences is classified as AI infrastructure from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.

offline extraction
Product facets
next-generation antibioticsCurrent antibioticsEvolvere BioSciencescomputational modelsco-evolutionary protein-protein inter
mapping method
Similarity graph

Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.

discovery cluster

Companies similar to Evolvere BioSciences

AI infrastructure · 6 peers

A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.

Catena Biosciences

match 64

Catena’s technology lets us attach any two proteins together using an enzyme and the native amino acids tyrosine and cysteine within target proteins. It is a true platform technology because it enables the joining of any two soluble proteins together with minimal engineering and without restrictions due to protein size or complexity. Our work has already been used to modify cancer specific antibodies, CRISPR proteins and even cell surfaces. Our ability to produce modular protein therapeutics in

shared extracted concept terms: protein; shared product terms: protein, target, because, already; shared product theme: health and clinical care; shared affiliation: Y Combinator

Matrubials

match 54

Matrubials is an anti-infectives company, focused on human milk peptides as therapeutics to address antimicrobial resistance and modern diseases. Currently the global rise in severe bacterial infections and the drying pipeline of effective treatments are burdensome for healthcare and economics. Sculpted by evolution, milk, first food for the newborn, provides an exemplary solution to address the nutritive and protective challenges an infant is faced with. The anti-pathogenic molecules from milk

shared product terms: bacterial, evolution, pathogenic, human; shared product theme: health and clinical care; shared affiliation: Y Combinator

Ditto Biosciences

match 52

Ditto Bio discovers drugs for autoimmune diseases by harnessing parasite biology. Viruses, ticks, and worms have experimented over millions of years to create proteins that control the human immune system. We use AI to identify these proteins and engineer them into next-generation autoimmune therapies. Our team is three PhD scientists from UCSF, UCSD, and UC Berkeley who have worked together for 3+ years in biotech. We have deep expertise in parasite biology, computational biology, and software

shared product terms: drug, protein, human, next; same category: AI infrastructure; shared affiliation: Y Combinator

zPREDICTA

match 49

zPREDICTA is developing organ-specific, physiologically-relevant 3D cell culture models providing a 1-to-1 reconstruction of human tissues. This is the only available 3D culture approach that comprehensively accounts for the major components of the cellular and extracellular tissue microenvironment preserving the critical interactions between a tumor and its surroundings. Clinical study data demonstrate the high correlation between drug efficacy measured in our platform and the clinical response

shared product terms: model, human, cell, drug; shared product theme: health and clinical care; same category: AI infrastructure; shared affiliation: Y Combinator

Kopra Bio

match 44

Kopra Bio makes genetically engineered viruses that teach your immune system to kill cancer using tech we developed at UCSF. We’re making the next Keytruda ($25B/yr cancer drug blockbuster) starting with the most aggressive form of brain cancer, glioblastoma. In the most challenging brain cancer model, we improve survival from 0% with the current FDA approved treatment to 90% with our treatment.

shared product terms: model, next, current, drug; same category: AI infrastructure; shared affiliation: Y Combinator

Invitris

match 44

Invitris radically simplifies how we create novel biological drugs. Our patent-pending technology platform turns DNA into synthetic proteins and was recently featured in the Science magazine. It makes creating new drugs >10,000x more efficient at <100x lower costs of material. Our killer application is enabling the newest generation of synthetic bacteriophages to combat antibiotic-resistant infections, which are threatening to cause more deaths than all cancers combined.

shared product terms: generation, antibiotic, drug, resistant; same category: AI infrastructure; shared affiliation: Y Combinator