AI-driven OSINT and vetting software for security and investigations
Fivecast builds open-source intelligence software for national security, law enforcement and financial crime teams, running a Java/Spring and Python stack on AWS and GCP with Elasticsearch search and TensorFlow, PyTorch and scikit-learn for ML. Dual compliance tooling (Vanta and Drata) reflects its accreditation burden, while senior-heavy hiring split across engineering and sales, plus plans to build a pre-sales function, points to a push from product maturity into structured go-to-market.
Fivecast is a privately held software company founded in 2017 and headquartered in Adelaide, South Australia, with 51–200 employees. It sells an OSINT product suite covering AI-assisted investigations, automated security vetting and insider threat detection, and curated threat-network datasets. Customers include government agencies, police departments, defense organizations and large enterprises tackling fraud and financial crime. The platform holds security accreditations including Australian DISP, NIST 800-171, ISO 27001 and Cyber Essentials Plus, and runs on single-tenant cloud infrastructure. Current hiring spans Australia and the United Kingdom.
Fivecast uses Java, Spring, Python, React and Angular, with PostgreSQL and Elasticsearch for data, AWS and GCP for cloud, and TensorFlow, PyTorch and scikit-learn for machine learning.
Yes. Hiring is accelerating, focused on senior and lead roles across engineering, sales and support, in Australia and the United Kingdom.
Fivecast is integrating in-house and third-party AI into its large web application, building a pre-sales function, updating its CRM, and automating Apple fleet deployment.
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Fivecast'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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