Designing the future of |

The AcrobaTx Engine

A closed-loop system for programmable biology. Each cycle generates proprietary training data, making the next cycle better.

Generate
AI proposes therapeutic candidates
Screen
Parallel testing across designs
Measure
Functional data from living human cells
Steer
Data trains next cycle's AI
AcrobaTx
Engine

A multidisciplinary team built to program biology

Founding Team

Nick Hughes

Nick Hughes, PhD

Co-founder / CEO

Previous Affiliations Stanford Medicine Broad Institute Longitude Capital
Muni Nakamura

Muni Nakamura, PhD

Co-founder / CSO

Previous Affiliations Stanford Bioengineering University of Illinois Urbana-Champaign
Grant Goldman

Grant Goldman, PhD

AI/ML Research Scientist

Previous Affiliations UCSF Brown
Kaitlyn Spees

Kaitlyn Spees, BS

Senior Research Associate

Previous Affiliations Stanford Medicine Scripps College
Sourab Kulkarni

Sourab Kulkarni, MS

Senior Research Associate

Previous Affiliations University of Illinois Metagenomi

Peer-reviewed science

From Acrobat Genomics

Selected Publications

Milestones & momentum

Supported by leading institutions

Illumina
NIH SEED
U.S. Department of Defense
NVIDIA Inception Program
Illumina
NIH SEED
U.S. Department of Defense
NVIDIA Inception Program

Help us program biology

We're always looking for exceptional scientists and engineers to join our team. If teaching AI the language of biology excites you, we'd love to hear how you'd contribute.

Get in touch

Let's build the future together

Address

930 Brittan Avenue
San Carlos, CA 94070

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