Case Study
Vera Automation: The On-Chain Command Center
Vera is an institutional-grade, multi-chain automation platform for on-chain execution, security, and intelligence. Powered by a high-performance Rust engine, Vera turns complex, high-stakes web3 operations into simple, automated, and reliable outcomes.
Feature Highlights
Vera Execution Engine
A low-latency, multi-chain engine for precision NFT mints and token launches. Provides granular priority controls, deterministic retries, and a scalable event pipeline for high-throughput execution.
Vera Security Suite
Defense-in-depth for on-chain operations. Includes Asset Guard, an emergency protocol that rescues assets from compromised wallets using a multi-layer Trust Score to verify legitimate ownership.
Vera Intelligence Suite
An AI-powered layer that turns data into advantage. Includes Airdrop Pilot for monitored, rules-based executions and Yap Optimizer for real-time content scoring across AttentionFi platforms.
Utility Tools
Operational tools that save time: Wallet Activity Digest for audits, Batch Transfer for efficient multi-wallet distribution, and workflow shortcuts for analysts and creators.
Technologies Used
Node.js
Express.js
TypeScript
Rust
Next.js
React
Tailwind CSS
Framer Motion
PostgreSQL
AWSUse Cases
- • Precision NFT minting and token launch sniping with chain-aware priority controls.
- • Emergency wallet recovery and asset protection with automated risk checks.
- • Automated airdrop monitoring and instant profit-locking swaps.
- • AI-driven content scoring and optimization for AttentionFi platforms.
- • Institutional batch operations: multi-wallet transfers, audits, and reporting.
Challenges & Learnings
Cloud Reliability & Security
Designing a secure, highly available environment across EC2, RDS, and ElastiCache with strict Security Groups demanded extreme precision; small misconfigurations could propagate into system-wide outages.
State and Nonce Management at Scale
Maintaining accurate wallet nonces across thousands of concurrent transactions required robust coordination to prevent contention, deadlocks, and cascading execution failures.
Dual-Stack EVM + Solana Engineering
Supporting heterogeneous chains meant handling distinct transaction models, serialization formats, and runtime semantics, effectively doubling the complexity of the core engine.