The problem Amanah solves

Institutional participation in digital asset markets faces numerous structural barriers:

1. Lack of controlled market structure
Most DeFi platforms are designed for open, anonymous participation with minimal governance controls. This model does not meet institutional requirements for onboarding, permissions, risk limits, and operational oversight.

2. Limited asset breadth on on-chain venues
Existing on-chain trading platforms typically offer a narrow set of crypto-native assets or synthetic instruments. Institutions seeking exposure to FX, commodities, and traditional equities cannot access diversified, real-world markets within a unified on-chain venue.

3. Fragmented settlement and clearing
Traditional markets rely on clearinghouses and delayed reconciliation. While DeFi enables instant settlement, it lacks permissioned frameworks and structured governance suitable for institutional deployment.

4. Operational complexity
Gas management, native token exposure, and wallet infrastructure introduce friction and accounting uncertainty for institutions that require predictable cost structures and stable balance sheet treatment.

There is currently no infrastructure that combines broad real-world asset exposure, institutional controls, and stablecoin-based instant settlement within a compliant, permissioned framework.

What Amanah Enables

Amanah is a permissioned digital trading venue that brings traditional market structure on-chain.

Participants can:

• Buy and sell exposure to FX pairs, commodities, stock + bond ETFs, and US + Abu Dhabi equities
• Settle instantly in a stablecoin (DDSC)
• Operate within a whitelist-only, governance-controlled environment
• Access real-time, on-chain accounting and auditability

Beyond a single exchange deployment, Amanah is architected as whitelabel-ready market infrastructure. Banks, brokerages, fintech platforms, or regional operators can deploy their own branded digital trading venues using the same underlying infrastructure, with configurable governance, permissions, and interface customization.

Rather than a standalone application, Amanah provides a modular foundation for institutional digital markets.

Technical Stack

Amanah is built using:

• ADI Chain as the primary execution and settlement layer
• Smart contracts implementing primary issuance and redemption logic
• Price feeds for reference market pricing
• ERC-4337 account abstraction for sponsored transactions
• Role-based access control architecture
• On-chain analytics for administrative monitoring

The result is a programmable, extensible market infrastructure layer suitable for institutional deployment and future integration with lending, derivatives, or structured products.

Challenges we ran into

While developing this app, we encountered several significant challenges:

Testnet Faucet Limitations: Getting sufficient testnet tokens to test our contracts was a recurring bottleneck. We had to work around faucet rate limits and find reliable sources to keep development moving.

Oracle Integration: We faced issues with setting up oracles and placing price data on-chain reliably. Getting accurate, real-time price feeds for our assets required careful configuration and debugging.

Abu Dhabi Stock Market Data: This was arguably our biggest challenge. The Abu Dhabi stock market doesn't have any publicly available API. After extensive research and digging, we managed to source the data from an external data provider a solution that took significant effort to find and integrate.

Deploying Contracts at Scale: We deployed contracts for 120+ assets simultaneously, which brought its own set of challenges around gas management, deployment scripting, and ensuring each contract was correctly initialized.

Aggregation & Platform Integration: Once deployed, we had to aggregate all 120+ assets and integrate them seamlessly into the platform, ensuring consistent data flow from on-chain contracts to the frontend.

Despite these hurdles, we pushed through by iterating quickly, finding creative workarounds, and leveraging external data sources where traditional APIs weren't available.

Use of AI tools and agents

Claude Code was used to help develop Amanah.