Graph visualization SDKs for security, fraud, and intelligence investigations
Cambridge Intelligence builds JavaScript-based visualization toolkits for complex network and graph data, with deep domain expertise in cybersecurity, fraud detection, and intelligence work. The tech stack is modern and containerized (Node.js, React, TypeScript, Docker, Kubernetes on AWS/GCP), and their active project list reveals a dual focus: product depth (core visualization features, architecture, layout algorithms) and go-to-market maturation (product-led content, sales materials, feature GTM). Hiring is accelerating across engineering and product — signaling investment in both technical capability and market expansion.
Cambridge Intelligence develops developer toolkits for embedding graph and network visualization into security and fraud-detection workflows. The product is built around JavaScript SDKs and web components, allowing customers to customize visual experiences around complex relational data. The company has operated since 2011 in the Cambridge, Cambridgeshire headquarters and works with leading organizations in cybersecurity, law enforcement, and financial intelligence. With 51–200 employees, the team balances SDK development, platform infrastructure (AWS, Kubernetes, Pulumi), and go-to-market execution. Current hiring is concentrated in the UK across engineering, product, and marketing roles.
TypeScript, JavaScript, React, Node.js on AWS/GCP infrastructure. They use Docker and Kubernetes for orchestration, Pulumi for infrastructure-as-code, and Datadog for monitoring. Frontend tooling includes webpack, Rollup, and Vite.
Core visualization features within JavaScript libraries, platform architecture redesign, AWS cloud management using Pulumi, authentication integration, and go-to-market initiatives for new product launches and feature releases.
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