We are pioneers of decentralized/federated algorithmics. These are algorithms that live across nodes. The partition of an algorithm across nodes is a best practice - it allows IP combination, calculations scalability and cyber security protection by design. Those nodes can be on-chain or off-chain. If on-chain it can lead to smart interaction (trading crypto or in the Metaverse) often through Layer 2 (State-Channels like). If off-chain it can lead to faster and more scalable solutions. Our sandbox is FinTech. We have proved our capacity to deliver several types of complex products for tier one banks - some of which are breakthroughs. We do even use our technology to invest part of our profits (we have returned 38% and 84% in our two investment use cases). Part of our success pivots on the capacity that we have to move to a platform any data science-like project. For that, not only are we obsessed with synergies exploitation but also with the UX of non-coders. Our platform is fully customizable by a non-coder expert as we have can split very cleanly the role of each employee involved in an algorithm - expert, IT and data science. In the limit, we account for a technology that allows a user optimizing her experience while letting an avatar interact in the metaverse. Nevertheless, SciTheWorld is the extension of an also multi awarded PhD Thesis at UCL on both learning-adaptive machines and avatar calibration.