SynbioCAD: AI Powered Strain Engineering

Startup
Computational Biology
Metabolic Engineering
Bioproduction
Biology is the new engineering, but strain design is still slow and fragmented. SynbioCAD unifies the computational toolkit, from target molecule to lab ready experiments, with AI that ranks pathways and a cell-free platform that tests and validates the most promising bioproduction routes. Bioengineering teams cut design time from months to weeks and move to build with confidence.
Dr. Matteo Di Giovannantonio
Entrepreneur in Residence
Prof. Jean-Loup Faulon
Inventor & Group Leader at INRAE
Dr. Joan Hérisson
Lead of SynbioCAD Platform
Startup
Computational Biology
Metabolic Engineering
Bioproduction
Status
Incubation
Initiated
1 July 2025

At a Glance

Stage
Area
Computational Biology
Status
Ongoing
Patent Status
Patent not yet filed.

Project links

Background

Strain design in biomanufacturing means juggling retrosynthesis, flux models, enzyme picks and DNA design across scattered tools. That fragmentation slows projects. Teams use computational biology to explore pathways, screen enzymes and plan constructs before build. SynBioCAD unifies it into one workflow with AI ranked pathways, enzyme selection, codon optimized designs, and cell-free pathway validation.

Startup Progress

ValleyDAO has onboarded Entrepreneur-in-Residence Matteo Di Giovannantonio, who has a long track record commercializing biotech software. Currently, matteo is exploring business models and go to market strategies with the inventors Prof. Jean-Loup Faulon and Dr. Joan Hérisson. We are actively working with and validating the product with industry partners such as BASF.

Active Research Projects and Spinouts

Our projects are diligently de-risked and nurtured by climate biotech experts from academic, entrepreneurial, and industrial backgrounds, ensuring your successful transition from research to impactful solutions.
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