Xenomics - Life sustaining breakthroughs

NOVEL GENE EDITING

Imagine A Better CRISPR

CRISPR CAS9

TRADITIONAL GENE EDITING: ONE OF THE MOST COMMON TECHNIQUES FOR GENE EDITING

Single edits
50-60 base pair edits or gene inserts
1 strain per experiment
8 weeks per experiment on average to: synthesize DNA, perform transformations, and assay results
High error rate

XENOARRAY™ BY XENOMICS

NEXT GENERATION GENE EDITING: ADDING GENES, ENZYMES AND PATHWAYS

Parallel edits
8,000 base pair gene inserts
3k unique cell strains in parallel
Single 8 week experiment is comparable to 460 years of iterative CRISPR
Genetic search space of over 160 quadrillion unique combinations of promoters, terminators, and/or genes
1 to 8 unique genes

R&D

Core Technologies

WETWARE

SCALED GENOME EDITING

XenoArray™ generates up to 3,000 unique cell lines within a search space of 160 quadrillion combinations. The XenoArray™ is ideal for Gene Knock-Ins:Adding Genes, Enzymes & Pathways

Parallel edits
8,000 base pair gene inserts
3,000 unique cell strains in parallel
Single 8 week experiment is comparable to 460 years of iterative CRISPR
Genetic search space of over 160 quadrillion unique combinations of promoters, terminators, and/or genes
1 to 8 unique genes

HARDWARE

MICROFLUIDIC CELL HANDLING & ANALYSIS

We anticipate deploying a combination of commercially available equipment and custom microfluidic tooling to streamline lab processes, cell handling, and analysis.

Through a combination of commercially available equipment and custom microfluidic tooling, Xenomics anticipates having a system that can:
Ferment 10-15k strains in parallel for 72 hours per microfluidic chip
Assay 9k strains per day for results
Accelerate our design-build-test-learn model from weeks to days

SOFTWARE

BIOLOGICAL DATABASES, AND AI

Xenomics is working to streamline strain engineering by expanding upon previously published metabolomics databases and leveraging AI to improve our design-build-test-learn model.

Antibodies, enzymes, and other proteins with enhanced properties
Deep learning AI with atomic level precision
Target Databases:
Organisms library
DNA - Genomics
RNA - Transcriptomics
Proteins - Proteomics
Biochemical – Metabolomics
Biological Phenotype

OUR PEOPLE

Leadership Team

David Preiner

FOUNDER & CEO

Harvard University (Ext. BLA candidate) - Biology, Engineering Sciences, Nanotechnology
Boston Children's Hospital
State of MN
Bootstrapped 3 multi-million dollar startups

John Harrold, PhD

CO-FOUNDER & COO

MIT - Instructor Material Science & Engineering, Fellow
Harvard University - Physics Postdoc
Rutgers - PhD. B.S. B.A. Chemical Physics, Biochemistry
Led 30 person lab, 4 startups, 2 funded by NSF, 2 patents

Sophie Ni, PhD

CO-FOUNDER & CPO

MIT -PhD. Material Science, Engineering, Energy Applications
Nanyang Technological University - Engineering
Yamada, USA, managed US$83M P&Lto deliver 43% growth in 3yrs
Startup co-founder
Forbes 30 under 30

Ryan Hubbard, MD

CO-FOUNDER & CMO

Mayo School of Graduate Medical Education - Resident Physician in Physical Medicine and Rehabilitation, Resident Internal Medicine
GeorgetownUniversity, M.D
Former Medical Instructor at Mayo Clinic (2016-2017)
25+ Publications, Posters, and Oral Presentations
Sports Team Physician

Dan Kriznic, CPA, CA

CO-FOUNDER & CFO

Created Over $1 Billion in Enterprise Value
$700 Million in Exits
$243 Million in M&A Transactions
$175 Million in Financings
9 Public Listings

LIFE SUSTAINING BREAKTHROUGHS

Imagine A Better CRISPR

CRISPR CAS9

XENOARRAY™ BY XENOMICS

Core Technologies