Why do we need?
HeLa is a modular, EVM-compatible Layer 1 blockchain purpose-built for advanced use cases that require privacy, multichain interoperability, and scalable computation. It enables developers to build more powerful applications without having to compromise on performance, security, or flexibility.
Key capabilities include:
EVM-Compatible Smart Contracts: Developers can deploy and interact with smart contracts using existing Ethereum-based tools and languages, such as Solidity, Hardhat, and Foundry.
Privacy-Preserving Computation: Through trusted execution environments (TEEs), developers can build applications that require confidential logic, including privacy-enabled DeFi, identity systems, or AI-powered dApps.
Resource-Efficient Execution: The modular architecture supports scalable parallel execution, making it suitable for high-throughput applications with predictable performance.
Why would I use HeLa?
HeLa is designed for developers who are building beyond traditional smart contracts and require a robust, forward-compatible infrastructure. It brings together three core features, modular design, cross-chain interoperability, and privacy-first computation , in a single environment.
Reasons to build on HeLa:
Modularity: HeLa’s modular architecture separates key layers—consensus, execution, asset integration, and storage—delivering unmatched flexibility and scalability. This design enables effortless customization and upgrades while maintaining system integrity.
One Stable Token: HeLa uses a singular stablecoin, HLUSD, as the native gas token. By anchoring fees to a stable asset, we ensure predictable transaction costs, a critical step for real-world adoption and long-term network stability.
Developer-Centric Tooling: Continue using the Ethereum development stack, while unlocking additional capabilities through HeLa-specific SDKs and APIs.
Asset Integrity : The modular asset integration layer allows for seamless integration of diverse assets across different runtimes, ensuring efficient and flexible asset management.
Scalability and Performance: The modular execution layer allows for efficient handling of workloads, reducing bottlenecks and improving transaction throughput.
Decentralized Digital Identity (DID) : HeLa’s advanced DID management system gives users precise control over their digital identity, ensuring transparency and accountability across the network.
AI Agent Tokenization: HeLa provides the infrastructure to tokenize AI agents, making them portable, composable, and usable across chains. This allows developers and users to securely interact with AI agents while leveraging interoperability and privacy features of HeLa
Security: With a robust consensus protocol and a professional validator network, HeLa prioritizes security, protecting the ecosystem from vulnerabilities and ensuring a safe environment for all participants.
HeLa is particularly suited for developers working on cross-chain DeFi protocols, privacy-preserving identity systems, AI-enhanced dApps, and other complex applications that require more than basic L1 functionality.
What is the difference between HeLa and other L1s?

What about HeLa’s energy consumption?
HeLa is committed to energy efficiency and sustainable blockchain design. The network is built on principles that reduce computational waste and improve energy utilization.
Proof-of-Stake Consensus: HeLa uses a PoS-based consensus mechanism, which eliminates the high energy demands typically associated with Proof-of-Work systems.
Computation Offloading: By separating onchain execution from heavy offchain compute (e.g., AI inference), HeLa ensures that computational resources are used where they are most efficient.
Modular Architecture: The separation of execution, consensus, and data availability layers allows the system to scale without centralizing workload or consuming unnecessary power.
Parallel Execution: HeLa’s design supports concurrent transaction processing, further improving throughput without increasing energy overhead.
This architecture not only ensures minimal environmental impact but also supports the scalability required for future-ready applications.
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