Ditto Biosciences

Product & Competitive Intelligence

Mines parasite genomes to discover protein therapeutics for autoimmune diseases.

Company Overview

Develops AI-driven "evolutionary therapies" for autoimmune diseases by mining parasite genomes for immunomodulatory proteins, leveraging a proprietary computational biology platform to discover, predict, and engineer novel protein therapeutics.

Competitive Advantage & Moat

Product Roadmap & Public Announcements

AI platform mining 1M+ parasite-derived proteins across primate-infecting viruses, ticks, and parasitic worms. Tissue biobank built using YC founder blood drives for immunogenicity mapping. Thousands of candidate proteins discovered with drug-like binding affinities (1-2 nM). Early experiments show proteins acting on high-value targets for immune diseases. Over 98% of viral and parasite proteins remain uncharacterized, representing a vast unexplored design space. Seeking immunologist and biologics developer collaborations.

Signals & Private Analysis

Protein language models and host-parasite computational genomics in development. Tissue biobank signals preparation for IND-enabling immunogenicity studies. The three founders previously worked together at Arcadia Science for 3 years, providing deep collaborative chemistry and shared research publication history. GitHub repos show active development on blood drive logistics and benchmarking tools. Likely Demo Day fundraise Q2 2026.

Product Roadmap Priorities

Parasite genome protein mining
Improving
Product Differentiation
Engineering

AI-powered large-scale mining of parasite genomes to discover novel immunomodulatory proteins as autoimmune disease drug candidates.

In Plain English

A computer scans millions of proteins that parasites use to hide from the immune system and picks out the ones most likely to work as medicines for autoimmune diseases.

Analogy

It's like hiring a million-year-old parasite as your drug design consultant—it already figured out how to calm down the immune system, and the AI just translates its notes.

ML-guided protein optimization
Improving
Decision Quality
Engineering

Machine learning-guided optimization of parasite-derived protein candidates for improved drug-like properties, stability, and therapeutic efficacy.

In Plain English

An AI acts like a protein personal trainer, tweaking and improving parasite proteins until they're strong enough, stable enough, and safe enough to become real medicines.

Analogy

It's like using AI to speed-run evolution—instead of waiting a million years for nature to perfect a protein, you get the optimized version by Friday.

Immunogenicity prediction modeling
Improving
Risk Reduction
Data

AI-driven immunogenicity prediction using a proprietary tissue biobank that maps real-world immune memory to parasite-derived protein candidates, enabling safer drug design.

In Plain English

An AI cross-references a library of real human immune tissue samples against candidate drug proteins to predict whether a patient's body would reject the medicine before it's ever tested in people.

Analogy

It's like checking if your body's bouncers will recognize and kick out the new drug before you even send it to the club—saving everyone a very expensive night out.

Company Overview

Key Team Members

  • Adair Borges, PhD, Co-Founder
  • Dennis Sun, PhD, Co-Founder
  • Emily Weiss, PhD, Co-Founder

Three co-founders with 40+ years of combined PhD-level expertise in computational biology, evolutionary biology, and host-parasite interactions across Harvard, Berkeley, UCSF, and UCSD. They worked together for 3 years as early scientists at another startup before founding Ditto, giving them rare team cohesion. Their approach, mining parasite genomes for molecules that already work in humans, sidesteps the 90% clinical trial failure rate by starting with biologically validated candidates rather than synthetic designs.

Funding History

  • 2025 | Adair Borges, Dennis Sun, and Emily Weiss co-found Ditto Biosciences.
  • 2025 | 1M+ parasite proteins analyzed within 7 months of founding.
  • 2026 | Accepted into Y Combinator Winter 2026 batch.
  • 2026 | Tissue biobank launched via YC founder blood drives.
  • 2026-2027 | Preclinical validation expected.

Competitors

  • Parasite-Derived: Macregen, Coronado Biosciences.
  • AI Protein Discovery: Generate Biomedicines, Absci, Evozyne.
  • Autoimmune Biologics: AbbVie, Amgen, BMS, Janssen.
  • Immunology Platforms: Anokion, Sonoma Biotherapeutics.