Blockchain AI infrastructure and tooling for crypto trading, smart contracts, and on-chain analytics
ChainGPT builds AI tools purpose-built for blockchain and cryptocurrency workflows—smart contract generation and auditing, on-chain analytics, technical analysis, and code debugging. The tech stack reveals infrastructure-scale ambitions: Go, Rust, C++, Solana, Cosmos, IPFS, Kubernetes, plus cloud (AWS, Azure, GCP) and GPU compute (NVIDIA H100). Active projects show heavy focus on Layer 1/2 protocol implementation for AI workloads and blockchain security architecture, while pain points around scalability, compliance, and enterprise security suggest they're building toward institutional adoption.
Notable leadership hires: Head of Accounting, Lead Generation Specialist, Lead Generation Representative, Head of Product
ChainGPT develops an AI model and platform suite for the blockchain ecosystem, serving individual traders, developers, and enterprises. The product includes a no-code smart contract generator, contract auditor, code debugger, on-chain data feeds, technical analysis tools, and AML/analytics features—all accessible via SDK/API or web interface. The platform is token-gated (CGPT utility token). Operating at 51–200 employees across 25+ countries, the company is sales-heavy (54 roles open) while maintaining engineering and product teams focused on protocol implementation, security, and launchpad integration. Notable recent work centers on onboarding IDOs to their launchpad and building Telegram-based early-stage sales channels.
Go, Rust, C++, Solana, Cosmos, IPFS, AWS, Azure, GCP, Kubernetes, and NVIDIA H100 GPUs. They're actively adopting Kubernetes and blockchain infrastructure.
Layer 1/2 blockchain protocol implementation for AI workloads, blockchain security architecture, smart contract auditing, Kubernetes security controls, incident response playbooks, and launchpad/token launch platform growth.
ChainGPT's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.