TwentyTwo
Y CombinatorBacked by Y Combinator

The AI Infrastructure
for Biosecurity

Every layer of defense for the bioeconomy—starting with AI-powered screening.

Why Now

Thebioeconomyisscaling.
Securityneedstocatchup.

0%
Synthetic Biology

DNA synthesis costs dropped 99% in two decades. Cloud labs make experiments as easy as an API call.

0x
AIxBio

AI models speed up biological research. These same capabilities create threats that we need to secure against.

0
Legislation

Regulation is here. The EU Biotech Act and US executive orders mandate dual-use screening.

Platform

Solutions for the
AI era.

Module 01

Now Available
01

Automated Customer Screening

AI agents combined with traditional data sources gather background intel in minutes. Your team makes the call, with a complete audit trail.

Module 02

Preview
02

Functional Screening

Predict the function of sequences that evade BLAST-based screening through state-of-the-art bio-foundation models.

Coming soon

Module 03

Preview
03

Model Safeguards

Partnering with LLM companies and AI×Bio model developers to make their models safer.

Coming soon

Our Team

Papers you can cite. Systems you can run.

Our team has built biosurveillance across 27 U.S. sites monitoring 13M+ people, AI biosecurity evaluations adopted by frontier AI labs, and pioneered machine learning methods for predicting viral evolution.

Where we trained

MIT
Harvard
Google
SecureBio
Selected papersYear
Paper · 01 / 072026

Deep untargeted wastewater metagenomic sequencing from sewersheds across the United States

Lennart J. Justen, Clayton Rushford, Olivia S. Hershey, Roisin Floyd-O'Sullivan, Simon L. Grimm, William J. Bradshaw, Harmon Bhasin, Daniel P. Rice, Katherine Stansifer, Jo D. Faraguna, Michael R. McLaren, Alessandro Zulli, Alejandro Tovar-Mendez, Emma Copen, Kristen K. Shelton, Ayaaz Amirali, Sherin Kannoly, Sofia Pesantez, Aiden Stanciu, Inigo Caballero Quiroga, Leopolda Silvera, Nicole Greenwood, Barbra Bongiovi, Austin Walkins, Ryan Love, Scott Lening, Kaylyn Patterson, Theresa Johnston, Sandra Hernandez, Aymara Benitez, Billie Jo McCarley, Samantha Engelage, Suguna Pillay, Cindy Calender, Brent Herring, Carey Robinson, Daniel Cunningham-Bryant, Gordon Adams, Jillian Paull, Jamie Devlin, Vamsi Thiriveedhi, Sarah E. Turbett, Jacob E. Lemieux, Rose S. Kantor, David H. O'Connor, John J. Dennehy, Rachel Poretsky, Jason A. Rothman, Helena M. Solo-Gabriele, Jason R. Vogel, Pardis C. Sabeti, Jeff Kaufman, Marc Johnson
medRxiv

A wastewater surveillance initiative capturing 1,206 samples collected between December 2023 and December 2025 from 27 sites across nine states, covering 13 million people. Deep untargeted sequencing enabled detection of SARS-CoV-2, influenza, and emerging pathogens including avian influenza H5N1 — representing 67% of all untargeted wastewater sequencing data currently on the NCBI Sequence Read Archive.

MIT · Harvard · SecureBioRead paper

Build the future of
life sciences responsibly.