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Applying artificial intelligence to synthetic DNA1-10 Employees
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Applying artificial intelligence to synthetic DNA
The heart of synthetic DNA production is artificial gene synthesis, the process by which individual genetic building blocks are assembled to create the gene of interest. However, there are many challenges facing researchers employing this method today. Artificial gene synthesis is a manual, trial-and-error process, requiring the correct combination of hundreds of unique variables for even the smallest genetic constructs. This iterative, hands-on approach often results in long and costly production cycles, hindering advancements and leaving much of this science's potential out of reach.

At DeepDiveBio, we are creating a next-generation synthetic biology platform through the development of novel, purpose-built instrumentation enabled by a world-class Machine Learning engine. With this platform, we are optimizing the process of artificial gene synthesis and advancing critical research to enable the next wave of innovation in Synthetic Biology.
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Avatar for Alex Bates
Founder/CTO at Mtell (acq NASDAQ:AZPN). Managing Director at Neocortex Ventures.
Tei Newman-Lehman
Avatar for Tei Newman-Lehman
Problem solver, team builder and startup aficionado. Currently cofounder/CEO of DeepDiveBio, Previous cofounder/CEO of RTSystemDesign and RapidRealities
Valuation

$0

Funded over

1 round

Latest round

Seed (Aug 2018)

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