We’re making biology easier to engineer.

We believe biology is the best manufacturing technology on the planet. But it’s hard to engineer biology well—evolution is four billion years ahead of us, after all.  At Ginkgo we’ve built our foundries and codebase so that we can better learn from and design with biology.

We’re automating organism design to make biology easier to engineer.

In biological engineering, living organisms are the factories that build new products. Designing the best organisms requires a different sort of factory, one where the best tools in automation, analytics, and software can all work in sync. The Bioworks foundries are automating and scaling the process of organism engineering, allowing engineers to prototype thousands of biological designs.

Engineering Made Simple

Integrated software and automation tools allow for scaling up our process while scaling down costs.

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State of the Art Technology

The enabling tools for biotechnology are rapidly evolving. Our foundries leverage the best of DNA synthesis, laboratory automation, and high performance analytics.


Thousands of Biological Designs

The foundries allow organism designers to build and test many prototype enzyme pathways to hone in on the most effective design.

We’re learning from biodiversity to make biology easier to engineer.

Just as modern software engineers draw on existing libraries of code to write new programs, our organism engineers start from our growing codebase of cells, enzymes, and genetic programs to jumpstart new projects, driving new discoveries across different industries. Our Foundries design, build, and test organisms at a massive scale, and our Codebase has grown with them.


The natural world has been evolving new chemistries for over four billion years. We’re exploring and expanding the metabolic map, finding new pathways to sustainable products.


Sequencing is just the beginning. We’re constantly testing and redesigning enzymes that aren’t found in textbooks, uncovering solutions where others can’t.


Machine learning needs more than just data—it needs the right data to glean meaningful insights from biology. Our foundry-codebase feedback loop is unlocking new biological knowledge.