A new project called HURA AI, backed by Huralya, is kicking off with a grant from the Oasis Protocol Foundation. Their goal? To build privacy-first AI wellness assistants using Oasis’s tech stack (especially Sapphire and off-chain logic).
Here’s what’s interesting, how it works, and what to keep an eye on.
What is Huralya Doing?
Huralya aims to launch HURA AI as a standalone app (iOS & Android) that helps with emotional well-being and “intelligent decision-making” — think personal assistant meets wellness coach.
The assistant will leverage Oasis’s privacy infrastructure:
Sapphire for confidential compute / privacy-preserving execution
Runtime off-chain logic integrated with on-chain / blockchain ecosystems
They plan to allow crypto payments and traditional payments, keeping the experience flexible.
The project is partially open-source: the components that interface with Sapphire & ROFL (Oasis’s off-chain execution layer) will be released under Apache 2.0.
They’ve set a user adoption target: 20,000 downloads across mobile platforms post-mainnet deployment.
Why It Matters
Bridging AI + Blockchain + Privacy
AI assistants are everywhere, but few combine meaningful privacy guarantees with on-chain interoperability. Huralya’s model is interesting: the AI logic can interact with blockchain data (e.g. user assets, wellness tokens) without compromising privacy.
Confidential Computing in Web3
The use of Sapphire and confidential compute means that the user’s input and AI reasoning can be kept private — even though the network is blockchain-based. This is a growing trend in Web3: giving users control over data while enabling advanced services.
Wellness + AI as Real Use Case
Many AI projects aim for productivity or business. This one targets emotional / personal growth, which is less explored but potentially impactful, especially when privacy is a concern.
Open & Community-Oriented
By open-sourcing key parts, Huralya invites collaboration. This helps build trust (transparency) and lets others innovate on top.
What to Watch
The open-source code they publish (especially Sapphire / ROFL interface)
How they integrate AI model inference under confidentiality
The UX of payments (crypto + fiat)
Growth metrics: whether they reach their download goal
How the AI handles emotion / wellness tasks responsibly
Full thread can be found here!
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