AI-powered OSINT and threat detection for security investigations
Fivecast builds an OSINT and AI-driven threat-detection platform for security and investigation teams. The stack—Java, Python (TensorFlow, PyTorch, scikit-learn), Elasticsearch, PostgreSQL on AWS—reflects a machine-learning-first architecture focused on pattern detection and threat scoring. Hiring is marketing-heavy (4 roles) alongside engineering and product, signaling a shift toward market expansion and customer onboarding; active projects around webinars, ABM campaigns, and partner marketing confirm a sales-acceleration phase following product maturity.
Fivecast develops AI-enabled OSINT and risk-analytics software for organizations conducting security investigations, threat detection, and financial-crime prevention. The platform aggregates open-source intelligence signals, applies machine-learning models to identify behavioral patterns and fraud indicators, and surfaces actionable findings for investigators and compliance teams. Based in Adelaide, Australia, with 51–200 employees, Fivecast operates as a B2B SaaS provider selling into government, law enforcement, financial services, and enterprise security buyers. Active projects include detection-logic tuning, training certification programs, and partner-led go-to-market campaigns with U.S.-based strategic partners.
Java, Python (TensorFlow, PyTorch, scikit-learn), PostgreSQL, Elasticsearch, React/Angular frontend, AWS infrastructure, plus HubSpot, Salesforce, and security tools (Vanta, Drata, Azure Entra ID).
Detection-logic tuning for OSINT workflows, customer training and certification programs, lead generation via webinars and ABM, partner co-marketing campaigns, and security vendor assessment processes.
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