Web3 is colliding with real users, real businesses, and real regulation. If your app handles sensitive information, “privacy later” turns into “users leave” fast. The good news: you don’t need to reinvent cryptography or stand up complex infra to do this right.
Emails, chat IDs, device fingerprints, IPs, geo, anything that links a wallet or account to a person. Exposure here leads to doxxing, spam, and compliance headaches.
API keys, access tokens, signing material, plus the “breadcrumbs” your app emits (usage patterns, trading habits, strategy triggers). This is prime front-run and account-takeover territory.
Model weights, scoring functions, risk engines, market signals, and private datasets.
🔸 Trust that compounds: Users opt in faster and stick longer when the app never asks for plaintext PII and keeps logic sealed.
🔸 Cleaner operations: No shadow CRMs, fewer support tickets (“I never got the alert”), less time chasing spam filters.
🔸 Compliance alignment: Minimize collection, isolate processing, and prove integrity with attestations instead of dumping raw data.
With iExec iApp Generator, developers can easily bootstrap and deploy iApps that respect data confidentiality by design, via a CLI, without the need for expertise in Confidential Computing. Builders can spin up similar features in minutes. No TEE complexity, just simple CLI commands. Ideal for DeFi, SoFi, or AI projects needing privacy-first features.
A computation result on protected assets can become new protected data. If the creator allows, it can be priced, permissioned, and reused, enabling composability without exposing the original inputs, which multiplies what the ecosystem can build.
👉 Some builders publish protected data types (built via iExec DataProtector & processed in TEEs via iApp Generator; e.g., curated datasets, model checkpoints, market signals) and authorize other builders to consume their outputs in new dApps, without ever exposing the underlying assets & data.
1. Init: Choose your language (Python or JavaScript) and project mode (basic or advanced).
2. Generate: Scaffold your application using ready-made templates.
3. Deploy: Validate compliance with the iExec framework and deploy securely to TEEs.
Confidential Computing is now as simple as typing a command.
➡️ Get started today & deploy your app in TEEs
Create event-driven monitors (price moves, NFT trait listings, protocol risk signals) that run in TEEs and deliver encrypted alerts to users who opt in with no public blasts & no PII lists.
Run portfolio health or credit-like scores on encrypted inputs; expose only a signed score/result. Useful for lending apps, claims marketplaces, or structured products.
Offer curated datasets or model outputs as a paid service. Consumers call your iApp, receive results, and never see your raw data or weights.
Trigger actions from sensitive logic (strategy thresholds, governance filters) without revealing how you derived them. Keep alpha private; make outcomes verifiable.
✔️ Confidential by default: TEEs + attestation keep inputs sealed and give you an integrity receipt.
✔️ User-respecting comms: Private Messaging delivers alerts privately with on-device ID encryption and revocable consent.
✔️ Drop-in tooling: Tools, Templates, and SDKs that let you launch features in days, not quarters.
Data privacy and tooling are the foundation for real decentralization.
👉 See what builders are already shipping: Explore real case studies and patterns 🔗 https://www.iex.ec/case-studies
