We protectdata in use.
Your data is encrypted everywhere, except where it matters most.
Protected
Encrypted at rest
Protected
Encrypted in transit
Exposed
Exposed in use
We close that gap.
Fully homomorphic encryption lets systems process data while it stays encrypted. Every operation runs on sealed information, and only you hold the key that reads the result.
Your data is never visible to us, to your cloud provider, or to anyone else.
How it works
Four jobs, from trivially simple to genuinely hard. Press anything.
You
Two numbers only you can see.
Readable only here
Back from the processor, still sealed
Decrypted sum · opened with your key
A stranger's calculator
Adds things it cannot read.
Receives sealed values only
Sends the sealed answer back. It cannot open what it made.
Yes, a stranger just added your numbers without seeing either one. Simple on purpose. Now make it real.
Use it now.
Install the library and run your first sealed computation in a minute. Your numpy code stays exactly the same.
pip install git+https://github.com/PDPG-lab/pypdpgData controller. Creates the keys, seals the data, ships it.
Security you can explain to your board.
01
Meet your obligations
Privacy laws like PDPA and GDPR do not pause while data is being processed. Encryption in use helps you hold that line at every step.
02
Collaborate without exposure
Partners, vendors, and cloud providers can work with your data without ever seeing what is inside.
03
Shrink the cost of a breach
If a system is compromised mid-process, what leaks is encrypted and unreadable. Nothing an attacker can read, use, or sell.
Encryption should not end where computation begins. We build systems where data stays sealed from creation to deletion, through every query, every model, and every pipeline in between.