Cobo operates a multi-wallet platform (custodial, MPC, smart contract, exchange) serving 500+ organizations with institutional-grade security. The tech stack reveals a dual mandate: core Python/Go/Java infrastructure for wallet services and scaling security operations, paired with emerging AI/ML investments (RAG, LangChain, LlamaIndex, PyTorch, TensorFlow) signaling a pivot toward AI-driven compliance and risk management. Security and engineering hiring momentum—tied to active projects around regulatory licensing and AI agent systems—suggests Cobo is building automation to address their stated pain point of governance and compliance complexity.
Cobo provides custody and wallet infrastructure for digital assets, with a platform integrating four wallet types (custodial, MPC, smart contract, and exchange-connected). The company is headquartered in Singapore and operates across 201–500 employees, with presence in China and Singapore for hiring. Founded in 2017, Cobo claims a zero-incident security record while managing billions in assets for institutional clients. Current product and engineering work centers on core wallet performance optimization, wealth-management features, regulatory licensing across jurisdictions, and emerging AI-powered compliance and agent systems.
Cobo uses Python, Go, Java, and Linux for core services; Redis and MySQL for data; and Swift/Flutter for mobile. The stack includes ML frameworks (PyTorch, TensorFlow), RAG systems (LangChain, LlamaIndex), and model deployment tooling. Currently adopting RAG for compliance and risk automation.
Core projects include wallet service optimization, wealth-management products, AI agent systems and model training, and regulatory licensing/compliance frameworks. Key pain points are scaling security operations, managing governance and risk, and keeping pace with blockchain and regulatory changes.
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