Make them Irrelevant
baby don't hurt me, no more!
Data automatically starts to protect itself against any kind of malware, ransomware, trojans, silly-user-mistakes, external hackers, malicious insider attacks, theft, misuse, and abuse.
Love old data again
sāf.ai is compatible with data on every system—the old ones running MS-DOS, OS/390, etc., to the ones running Windows 10, and anything new that comes along.
One solution
No need for extra hardware or software or special development. Just deploy sāf.ai and go.
Grandma can do it
End-users don’t need any training or technical know-how, and no specialized training needed for your admins.
Easy like sunday morning
No need to change or adjust applications—all the data of any software becomes automatically self-healing and self-defending.
set it and forget it!
sāf.ai is evergreen. No need to update patches or manually upgrade the systems.
how do I use it?
sāf.ai appears like a regular filesystem to existing and legacy applications. As storage requirements grow for legacy applications, the storage grows with them.
means that every new end-point on the network simply becomes secure by making sāf.ai filesystem its primary data storage.
as software-defined storage
sāf.ai can appear as network-attached block devices (e.g. hard drives) letting you work with any operating system that supports network block-devices.
Thin provisioning of block devices
as an object store
sāf.ai object storage APIs enable modern applications written in C++, Java, Python, JavaScript, Go, PHP, and more to store and access data with complete protection.
Built-in support for partial or complete reads and writes means that your application will continue to run irrespective of any local memory cleanup or corruption.
Automatic Object-level Machine Learning means that each object becomes self-aware and protects its own data—down to each member level.
sāf.ai was founded with a simple question: “What if your data could … ?” and our solutions are built on a similarly simple answer: “Your data can…”
Tackling complex problems requires the freedom to be creative and to think independently. For us, it also starts with a fundamental desire to do good. In our work-life, doing good means making an organization’s most valuable asset, its data, safe.
Ling is sāf.ai’s COO and has experience in business operations honed by over 20 years of experience as an entrepreneur, as well as her work at a tech-incubator providing guidance and support to emerging technologies, makes her uniquely qualified to help achieve saf.ai’s mission.
David is sāf.ai’s Chief Financial Officer. Prior to sāf.ai, he spent fifteen years working in private equity – in a variety of roles in corporate finance, capital markets and as an investor.
David lives in Washington, DC with his wife and their three children. When he’s not building Lego castles or giving piggyback rides, he enjoys traveling, playing tennis and watching Philadelphia sports and the Georgetown Hoyas.
Ahmed is sāf.ai’s CEO. Before launching sāf.ai, he founded Trustifier, Inc., a provider of insider threat prevention solutions that served customers in the military, healthcare, and banking industries (among others). He has spent the last twenty years designing and maintaining systems that safeguard data, educating programmers, and (when possible) adding his two cents to the body of knowledge in the fields of math and computer science.
When not telling his super excellent dad-jokes, or being a human jungle-gym for his kids, he likes to read, and play chess, and Go.