Bio-OS

Ronawk’s Bio-OS™ will do for biological manufacturing what Nvidia™ GPUs did for AI computing.

Biomanufacturing is trapped in its own version of CPU limitations contributing to “value destruction” of ~$250B per year.

The industry currently relies on petri dishes, flasks, and bioreactors designed for chemical or microbial systems, not complex mammalian cells.

It costs about $2B to bring a drug to market, and roughly 90% of candidates fail*.  With ~24K drug programs run by ~2,300 companies, this “value destruction” is on the order of $2-4 trillion over their lifecycles (~$250B per year). 

For too long, we have tried to engineer biology the way we engineer machines, by imposing control.  But living systems don’t yield to command; they respond to context.  They adapt, evolve, and self-organize.  The companies that will define the next era of biomanufacturing will be those that learn to work with biology, not against it.

Ronawk's Bio-OS is biology's throughput architecture and programmability layer.

The impact is both biological and economic.

GPUs made AI programmable and scalable.

By incorporating hardware, software, and wetware in a cohesive platform, Bio-OS makes living systems programmable, scalable, and investable.

Bio-OS provides standardized, repeatable compute cores of biology; modular units that make cell behavior consistent, predictable, and scalable.

Standardization delivers acceleration:

  • Faster design-to-decision cycles
  • Reduced cost per qualified output
  • Modular, closed-system significantly reduces capital intensity

Like GPU was for AI; Ronawk’s breakthrough is architectural.

Bio-OS makes living systems reproducible, programmable, and scalable while placing Ronawk at the forefront of setting standards others will have to follow.

Ronawk’s Bio-OS is the right biological platform.

Its operating rules are embedded, thereby turning biology into a programmable, scalable, and investable platform.

Bio-OS Application Configurations

Manufactuing

Continuous cell production

Assembly

Controlled assembly of multiple cell types into tissues

Diagnostic

Multiple data points from a single sample rather than many

Engineering

Unparalleled control over cell phenotype