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ChainGPT Tech Stack

Blockchain AI infrastructure and tooling for crypto trading, smart contracts, and on-chain analytics

Software Development Delaware 51–200 employees Founded 2022 Privately Held

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.

Tech Stack 27 technologies

Core StackGo Rust C++ AWS Zapier n8n Kubernetes Solana Cosmos IPFS Azure GCP Kommo Telegram Discord X blockchain Blockchain CRM IAM VPN Launchpad Lemlist NVIDIA H100 Web3 Nvidia H100 Ethereum
AdoptingKubernetes blockchain

What ChainGPT Is Building

Challenges

  • Scalability and security
  • Platform resilience
  • Compliant reporting across crypto and fiat
  • Multi-entity accounting complexity
  • Enterprise-grade security compliance
  • Driving growth for launchpad platforms
  • Crypto transaction reconciliation
  • Identifying high-potential web3 projects
  • Driving pipeline for token launch platform
  • Security architecture design

Active Projects

  • Incident response playbooks
  • Cloud security architecture design
  • Blockchain ai platform security strategy
  • Layer 1 and layer 2 blockchain protocols for ai workloads
  • Outbound lead generation for launchpad and saleium
  • Ai-driven blockchain platform architecture
  • Layer 1 & 2 protocol implementation for ai workloads
  • Onboarding tier-1 idos to chaingpt launchpad
  • Create telegram groups for early-stage sales
  • Kubernetes security controls implementation

Hiring Activity

Decelerating160 roles · 30 in 30d

Department

Sales
54
Engineering
27
Product
27
Finance
24
Security
24

Seniority

Senior
75
Mid
30
Lead
21
Manager
20
Director
6
Junior
4

Notable leadership hires: Head of Accounting, Lead Generation Specialist, Lead Generation Representative, Head of Product

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About ChainGPT

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.

HeadquartersDelaware
Company Size51–200 employees
Founded2022
Hiring MarketsUnited Kingdom, Germany, Norway, Netherlands, France, Finland, Denmark, Italy

Frequently Asked Questions

What tech stack does ChainGPT use?

Go, Rust, C++, Solana, Cosmos, IPFS, AWS, Azure, GCP, Kubernetes, and NVIDIA H100 GPUs. They're actively adopting Kubernetes and blockchain infrastructure.

What is ChainGPT working on?

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.

How this profile is built

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.