Real-time crypto market data platform with AI and on-chain analytics
CoinMarketCap operates a crypto market-data and intelligence platform serving traders, builders, and institutions. The tech stack reveals a dual-layer architecture: a traditional backend (Java, Spring Boot, MySQL, Redis, Kafka) handling data ingestion and APIs, paired with a modern ML inference stack (PyTorch, TensorFlow, vLLM, LoRA, DeepSpeed) supporting new AI products. Active projects around prompt engineering and AI product MVP productionization, combined with hiring acceleration across engineering and sales, signal a shift toward AI-native offerings — moving beyond static price feeds into conversational intelligence and on-chain analytics.
Notable leadership hires: VP Marketing
CoinMarketCap is a cryptocurrency market-data provider offering portfolio tracking, real-time pricing, DeFi and NFT analytics, and API access to institutional and retail users. The platform combines transparent on-chain data with educational content, market indicators, and AI-powered chatbots. Operations span nine countries across the Middle East, Asia-Pacific, Europe, and North America, with engineering concentrated in backend infrastructure (Java, Kafka, Kubernetes) and emerging machine-learning capabilities (PyTorch, TensorFlow). The company is actively recruiting across product, marketing, and sales as it scales international presence and productionizes AI features.
CoinMarketCap runs Java and Spring Boot on the backend with MySQL and Redis for storage and caching, Kafka for streaming data, and Kubernetes for orchestration. For AI and analytics: PyTorch, TensorFlow, vLLM, LoRA, and DeepSpeed power inference and fine-tuning.
CoinMarketCap is headquartered in Delaware, United States, and operates offices across the United States, Europe, Middle East, and Asia-Pacific regions.
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CoinMarketCap'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 →
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