Synthetic Biology Platforms
Novonesis
by Novonesis A/S
The world's largest biosolutions company, engineering microorganisms and enzymes for every industry on earth
Category
Synthetic Biology Platforms
Founded
2024
Headquarters
Bagsvaerd, Denmark
Overview
Novonesis was formed in 2024 through the merger of Novozymes and Chr. Hansen, creating the world's largest microbial and enzyme solutions company. The combined company engineers and produces a vast portfolio of industrial enzymes, microbial cultures, specialty fermentation ingredients, and biostimulants used in food production, agriculture, animal health, cleaning products, biofuels, and pharmaceutical manufacturing. Novonesis products are estimated to be present in approximately 50% of the world's grain ethanol, 40% of global bread production, and a significant share of laundry detergents, cheese, and probiotic supplements. Customers across food & beverage, biofuels, agriculture, animal nutrition, and industrial cleaning use Novonesis enzyme and microbial solutions to improve yields, reduce energy consumption, replace petrochemical inputs, and enhance sustainability metrics. In pharmaceutical manufacturing, Novonesis supplies enzyme packages for active pharmaceutical ingredient synthesis, enabling greener chemistry processes. In agriculture, its microbial products (including BioAg partnerships) provide plant growth promotion, nitrogen fixation, and disease suppression. Novonesis's differentiation lies in its unmatched scale of biological discovery and optimization infrastructure accumulated over more than 80 years of combined operations. The company has identified and engineered enzymes from thousands of microbial sources, maintains some of the world's deepest patent estates in industrial enzymology, and operates manufacturing fermentation capacity at a scale that enables cost parity with synthetic chemical alternatives. The merger with Chr. Hansen adds proprietary cultures, probiotics, and fermentation expertise that extends Novonesis's biosolutions into human and animal health.
Key Features
Foundry-Scale Assembly
Robotic DNA assembly and transformation processing thousands of genetic designs in parallel.
Genetic Parts Catalog
Curated libraries of characterized genetic parts including promoters, terminators, and regulatory elements.
Design-Build-Test-Learn Automation
Automated DBTL cycle with integrated data capture and machine learning optimization.
Metabolic Pathway Design
Computational design of biosynthetic pathways for production of target compounds in engineered organisms.
Automated Strain Engineering
High-throughput strain construction combining robotic assembly with ML-guided genetic design.
Pros & Cons
Pros
- +Metabolic modeling predicts optimal genetic modifications for target compound production
- +Proprietary strain libraries and genetic parts catalogs accelerate design-build-test-learn cycles
- +Bio-manufacturing partnerships enable commercial scale-up from prototype to production organisms
- +Foundry-scale automation processes thousands of genetic designs in parallel
- +Cell programming platform designs custom organisms for therapeutics, agriculture, and industrial biotechnology
- +Automated organism engineering combines high-throughput strain construction with ML-guided design
Cons
- −Scale-up from laboratory to commercial production introduces unpredictable biological challenges
- −Design-build-test-learn cycles still require weeks to months for complex organism engineering
- −High upfront investment in foundry automation infrastructure before generating meaningful results
- −Intellectual property landscape for genetic parts and engineered organisms is complex
- −Regulatory frameworks for engineered organisms vary globally and can delay commercialization
Use Cases
Strain Engineering & Optimization
Automated organism engineering combining high-throughput strain construction with ML-guided metabolic design.
Biosynthetic Pathway Design
Computational design of metabolic pathways for production of target compounds in engineered organisms.
Fermentation Scale-Up
Data-driven optimization of fermentation conditions from lab-scale to commercial biomanufacturing.