Houston Biocomputing Startup Cemvita Exa Develops New Way of Storing Data in Protein to Solve Storage Shortage

HOUSTON BIOCOMPUTING STARTUP CEMVITA EXA DEVELOPS NEW WAY OF STORING DATA IN PROTEIN TO SOLVE STORAGE SHORTAGE

We’re delighted to share this news from our partner, Cemvita Exa about their technology breakthrough in biology-based solutions for data storage. They’re tackling the world’s rapidly-growing shortage in data storage by converting text data into protein.

With conservative estimates suggesting that traditional data storage technologies (such as silicon-based and DNA-based) can only store half of the data generated by 2025, Cemvita Exa’s nature-inspired storage solution is stable at room temperature (similarly to human hair and nails), and does not require the carefully-controlled and energy-intensive storage support required by current methods.


FOR IMMEDIATE RELEASE                                                                                 Contact: Moji Karimi
October 23, 2018                                                                                                      moji@cemvita.com

Houston Biocomputing Startup Cemvita Exa Develops New Way of Storing Data in Protein to Solve Storage Shortage

Woman-led technology company, Cemvita Exa, is taking on the world’s growing data storage problem with nature-inspired solutions 

(Houston, TX) – Houston-based startup Cemvita Exa today announced the successful conversion of text data into amino acids, marking a breakthrough in its efforts to develop a protein-based data storage system that can tackle the world’s growing data storage shortage.


Photo: Data
data stored in peptide format through Cemvita Exa’s proprietary conversion algorithm

 

 

More data has been created in the past two years than all of preceding history, and current data storage methods are ill-equipped to respond to the rising demands for storing the rapidly-growing volume of data generated every minute. Conservative estimates suggest that traditional data storage technologies can only store half of the data generated by 2025. Cemvita Exa’s innovative protein-based data storage technology has the potential to exceed the efficiency of existing data storage methods, including silicon and DNA data storage.

“We believe understanding the mechanism of data storage in the brain is the best model for molecular data storage,” said Dr. Tara Karimi, Co-Founder and Chief Scientist at Cemvita Exa and author of the new Springer book, Molecular Mechanisms of Autonomy in Biological Systems: The Relativity of Code, Energy and Mass. “Data storage and transfer in the brain relies on neuropeptides, which are information-enriched peptides. Protein-based data storage is a unique tool to simulate molecular information storage and processing in the brain – which is the focus of our research.

The peptides used in Cemvita Exa’s research are stable at room temperature similarly to human hair and nails, and do not require the carefully-controlled and energy-intensive storage support that current methods need.

“The biology-based solutions we’re developing at Cemvita have the potential to transform how we think about technology,” said Moji Karimi, Cemvita Exa’s Co-Founder. “As we continue our research, we hope to commercialize biology-based storage systems that can be used at scale alongside or in place of conventional storage technologies to provide more efficient and resilient data storage for our data-hungry world.”

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About Cemvita Exa:
Cemvita Exa is a biotechnology company developing biology-based data storage. Drawing inspiration from nature, Cemvita Exa and its sister company Cemvita Factory harness the untapped potential of biology and chemistry to address humanity’s biggest problems. Cemivta’s technologies, which range from protein-based data storage to artificial photosynthesis devices, have applications in several industries such as sciences, agriculture, energy, IT and space exploration.

To learn more information about the science behind the technology, please see Dr. Tara Karimi’s new book published by Springer: The Relativity of Code, Energy, and Mass.

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