ABOUT US
Our Story
Infinome’s founding team members have spent their careers pioneering technologies and strategies to accelerate the engineering of biology in order to make the development of new biobased manufacturing processes faster and more cost-effective. Our team helped revolutionize commercial enzyme engineering, resulting in a more robust, efficient, and rapid process for optimizing industrial enzyme performance. We were inspired to apply these powerful forward engineering strategies to metabolic pathways and whole genomes, however, the tools needed to efficiently edit these larger sequence spaces did not yet exist. As early members of Inscripta, our team attacked this problem and were instrumental in the development the groundbreaking Onyx™ platform and its application to forward engineering. During that time we identified further unmet needs we could address by leveraging the Inscripta platform into a complete genome engineering technology stack. This led to the hatching of Infinome, which is separately pursuing significant opportunities in the bioeconomy by harnessing a poweful confluence of technologies and strategies to fully capitalize on the infinite potential of the genome and usher in the next (bio) industrial revolution.
Our Approach
Historically, the complexity of biology has made it difficult to engineer — despite staggering investments in the commercialization of bioproducts, progress has proven to be frustratingly slow, expensive, and laborious. Because we still don’t understand biology enough to design systems from anything like first principles, there remains a profound need for better engineering tools and strategies. We asked a few questions:- Instead of tinkering here and there with a few genes at a time, why not explore the entire genome?
- What if we applied reliable principles of rapid enzyme engineering to whole genomes?
- Inspired by Nature’s evolutionary processes, what if we could apply those principles to forward engineer biology with untold precision, efficiency, and speed?
About Infinome
Our goal is to replace unsustainable processes and products with cleaner, more cost-effective solutions and create a more sustainable planet for everyone. Infinome is now actively developing the GenoScalerâ„¢ platform to enable rapid engineering of genomes for internal and external, partner-related, opportunities. We operate as an independent subsidiary of Inscripta.Our Process
WHAT
- Develop highly engineerable systems
- Rapidly improve commercial titers
- Increase volumetric productivity and yield
- Reduce or eliminate side-product formation and impurities
- Leverage standard fermentation media and DSP available throughout the US and the world
HOW
- Extend advances in enzyme engineering to genomes
- Accelerate forward engineering by orders of magnitude
- Improve cost, time, and performance of Design, Build, Test, and Learn cycles using leading technologies
- Enable scalable, cost-effective biomanufacturing of sustainable goods
- Small, tight, highly efficient teams
Our Partners
Technology
leaders in
WHO WANT
TO ACHIEVE
FROM
- Biologics
- Food Tech
- Drug Discovery
- Bioremediation
- Cosmetics
- Pet Health
- Biomaterials Probiotics
- Higher titers
- Lower costs
- Rapid optimization cycles
- Faster time to market
- Small start-ups
- Industry giants
- Academia
- Government labs
Technology Leaders In
- Biologics
- Food Tech
- Drug Discovery
- Bioremediation
- Cosmetics
- Pet Health
- Biomaterials Probiotics
WHO WANT TO ACHIEVE
- Higher titers
- Lower costs
- Faster DBTL cycles
- HTP Phenotyping
FROM
- Small start-ups
- Industry giants
- Academia
- Government labs
OUR Team

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Richard Fox, PhD
CEO, CTO, & CO-FOUNDER

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Mike Clay, PhD
COO & CO-FOUNDER

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Andrew Garst, PhD
CIO & CO-FOUNDER

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Dan Held, PhD
CSO & CO-FOUNDER
Strengths
- HTP genome engineering
- CREATE
- CRISPR / MAD7
- Machine Learning / AI
- Directed Evolution
- Smart Automation & Analytics
- Small, tight teams
- Strain / enzyme engineering
- Protein production
- Natural products
- DBTL
Strengths
- HTP genome engineering
- CREATE
- CRISPR / MAD7
- Machine Learning / AI
- Directed Evolution
- Smart Automation & Analytics
- Small, tight teams
- Strain / enzyme engineering
- Protein production
- Natural products
- DBTL