Private AI: the complete framework for implementing AI locally
Adopting AI, most organisations find it challenging to balance innovation with risk. This framework supports IT teams in implementing AI within their local infrastructure – with ease and without compromising on data security and legal compliance.
PrivMX for End-to-End Encrypted XR
The first complete E2EE framework for privacy in the metaverse
This toolkit allows devs to use encryption in streaming to protect all types of sensitive, biometric and environmental data.
It supports the XR community in creating privacy-friendly metaverse solutions that comply with legal regulations and protect data at all times.
Developed as a plugin within PrivMX toolkit, it's now adopted in Cortex2 - a EU-supported XR project facilitating remote collaboration.