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Secure Ai Labs: Streamlines data access for business analytics

Updated: Sep 10, 2019



RYAN DAVIS: I'm Ryan, one of the co-founders of SAIL. We are a company our of the MediaLab, as well as CSAIL. And we've developed a data privacy platform to help your companies get access to the big data and AI solutions that you need. We're very excited, because we'resolving a very fundamental problem in business, getting access to new information to make better business decisions.

Now, getting access to this information, and being able to use this data should be a simple process. But for anyone that's tried to do this, you understand that getting access to data can be 90% of the process. You have to go through a long line of people-- IT, legal, management, and budgets-- in order to get access to the data you need. And there should be an easier way.


The problem is, nobody trusts data sharing. But in working with our professors and our advisors at the Media Lab, as well as at CSAIL, we found a better way to put, basically, a protective layer around data and code to protect it during use. This new way of protecting data is revolutionary. We're able to protect information so that your company can access the data it needs without owning it or to take your data and create new revenue from it without sharing it. And this is pretty radical.

In fact, when our advisors go out and tell industries and experts about this, the reaction speaks for itself. The CTO of the Department of Health and Human Services said, holy shit. Holy shit. This has huge implications for healthcare. And we couldn't agree more.

We're working across healthcare right now with drug companies to basically digitize their preclinical licensing and drug discovery process. We're also helping these types of companies access large databases of private information to discover new biomarkers and make new discoveries. We're also using our technology as a secure layer or otherwise referred to as a secure docker, to deploy algorithms out to customer networks, while protecting privacy and security.

We're most excited right now because we want to talk to you. And we want to hear about how you've tried to share and collaborate with data and algorithms. We're building out a privacy consortia across companies and pharma, healthcare, insurance, as well as for analytics and consulting companies, to bring people together to be able to develop new business and make new discoveries, but without having to share any data.

So please come find us online at SecureAILabs.com, and we look forward to hearing from you. Thank you.

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