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AI infrastructure

Ditto Biosciences

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

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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 #5893

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

source
generated read
High Signal interpretation

Ditto 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
biotechAIsoftwarecomputational biology
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 Ditto 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.

SFA Therapeutics

match 81

SFA Therapeutics is creating therapeutically-tailored oral drugs that regulate the immune system; with a focus on autoimmune diseases and cancers that originate from chronic inflammation. There are over 300 million patients who suffer from autoimmune diseases. Our treatment is designed to block the root cause of many of these chronic inflammatory diseases, with safe oral drugs. We have strong clinical data from a phase 1b clinical trial in psoriasis, and human data in pancreatic cancer, uveitis

shared product terms: drug, autoimmune, disease, over; shared affiliation: Y Combinator

Tamarind Bio

match 74

Tamarind Bio is a website and API which allows scientists to use computational biology tools at scale using a simple interface. On Tamarind, scientists can use ML models like AlphaFold to design and simulate molecules by simply selecting inputs instead of or setting up a high performance computing environment or dealing with DevOps. Tamarind is used by tens of thousands researchers in large pharma companies, top biotechs, and academic institutions.

shared extracted concept terms: biotech, computational, biology; shared product terms: bio, biology, scientist, biotech; same category: AI infrastructure; shared affiliation: Y Combinator

Parallel Bio

match 69

Parallel Bio is pioneering human-first drug discovery by creating the first map of human biology. Using groundbreaking biological and computational tools that track real clinical outcomes, the company generates data that enable earlier, more reliable decisions about disease biology and drug development. Parallel Bio’s platform overcomes the core limitations of traditional animal testing, which fails to encapsulate the complexity of human biology. The company is building internal pipelines of nov

shared extracted concept terms: computational, biology; shared product terms: bio, drug, disease, biology; shared affiliation: Y Combinator

Kopra Bio

match 68

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: bio, drug, viruse, immune; same category: AI infrastructure; shared affiliation: Y Combinator

Ångström AI

match 62

Angstrom AI builds GenAI-based molecular simulations to substitute wet lab experiments in the pre-clinical drug development pipeline. We are a team of 2 PhD's and 2 Professors from the University of Cambridge who decided to start a company together after we realised how to combine breakthoughs in our research in quantum-accurate models of physics and generative AI models. Our Biotech/Pharma clients can verify the efficacy and safety of new drug candidates using our computer simulations, which ma

shared extracted concept terms: biotech; shared product terms: experiment, drug, phd, who; same category: AI infrastructure; shared affiliation: Y Combinator

Evolvere BioSciences

match 52

🦠🤖 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

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