AI-powered automation for financial services and government workflows
Raydar builds AI agents and event-driven infrastructure for financial audit automation, government procurement, and capital markets workflows. The stack—Java, Go, PostgreSQL, PyTorch, Transformers—combined with active projects around SIP softswitch routing, speech recognition, and deal infrastructure suggests a backend-heavy platform handling real-time communication and knowledge automation. Senior-skewed hiring (10 of 14 open roles) points to a company scaling greenfield technical problems rather than filling standard positions.
Notable leadership hires: Deployment Lead
Raydar is a Santa Monica-based consulting and technology company founded in 2021, now operating with 11–50 employees. They serve innovative companies in financial services and government sectors, targeting automation of manual audit work, procurement workflows, and capital markets transactions. The product roadmap centers on AI agents for compliance and deal infrastructure, alongside voice and communication systems. Active development spans both bespoke customer solutions and platform consolidation, with hiring concentrated in engineering and product roles across the US and Canada.
Core languages include Java, Go, Python, and TypeScript. Data layer: PostgreSQL, MongoDB, Redis. ML: PyTorch and Transformers. Frontend: React, Next.js. Customer tools: Zendesk, Intercom, Figma.
Active projects include AI agents for financial audit automation, SIP softswitch routing for voice, speech recognition pipelines, government procurement interfaces, and capital markets transaction infrastructure.
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