Platform | Asimov — Intelligent Design

Integrating genetic engineering with computer-aided design to advance mammalian synthetic biology.

OUR PLATFORM

A fully integrated suite of cells, genes, and software

Host cells

Engineered, highly characterized GMP host cells for therapeutics production with supporting regulatory documentation.

Genetic parts library

Thousands of experimentally validated genetic parts to control cell biology, including transposase integration, expression vectors, inducible systems, tissue specific promoters, and more.

Design software

Cloud-based software to design, simulate, and optimize genetic systems in different cell types for your application of interest.

Analysis

Multi-omics analysis to enable advanced QC of cell lines, deepen biological understanding, and distill actionable insight for genetic designs.

Technical guides

Optimized and validated protocols for working with all aspects of our platform. Developed by our team of scientists and synthetic biologists.

Design

Nature has evolved billions of useful molecular devices in the form of genes and genetic parts across the tree of life. We source, catalog, characterize, refine, and remix these components, providing our partners with a large toolbox to design new systems.

Simulate

Biology is mind-bendingly complex, and genetic engineering unlocks an unbounded design space. We provide data-driven computational models to predict how genetic systems behave. Our goal is to advance biotechnology beyond trial-and-error.

Optimize

AI tools are becoming increasingly central to cellular systems engineering. We use machine learning to bridge large-scale datasets with mechanistic models of biology, enabling algorithmic optimization of genetic systems.

Analyze

Genome-scale, multi-omics measurement technologies provide deep views into the cell. These techniques permit pathway analysis at the scale of a whole cell, and inspection down at single-nucleotide resolution.

Design

Simulate

Optimize

AI tools will become increasingly central to cellular systems engineering. We use machine learning to bridge large-scale datasets with mechanistic models of biology, enabling algorithmic optimization of genetic systems for therapeutic applications.

Analyze

Partners

Partnership opportunities

Our mission is to radically advance the design of living systems, enabling biotechnologies with outsized societal benefit. Get in touch with our business development team to learn more.

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