Enterprise risk management SaaS with mobile-first expansion and AI-powered assessment tools
Protecht operates a mature SaaS platform for enterprise risk, compliance, and incident management—now pivoting toward mobile and AI-augmented risk assessment. The tech stack reveals a mobile-first engineering priority (React Native, iOS, Android, Detox), paired with modern AI integrations (OpenAI API, LangChain, RAG, AWS Bedrock) to accelerate risk evaluation cycles. Active pain points around slow assessment workflows and legacy questionnaire processes signal a shift toward automating the human-heavy bottlenecks in traditional GRC tools.
Protecht develops Protecht ERM, an enterprise risk management platform that consolidates risk, compliance, incidents, vendor risk, cyber risk, internal audit, and operational resilience into a single interface. The company serves mid-market and large organizations across finance, government, regulated industries, and critical infrastructure. Protecht operates out of Sydney, Los Angeles, and London, with a 201–500 person team founded in 1999. The platform is supported by advisory services, risk training, and consulting—a hybrid model typical of mature GRC vendors. Current development focus spans platform expansion, mobile application launches, and customer retention efforts alongside go-to-market acceleration.
Protecht uses JavaScript, React, React Native, Python, Java, and TypeScript for frontend and backend work. Data and BI run on Tableau and Power BI. DevOps: Kubernetes, Bitbucket, Spring Framework. AI integrations: OpenAI API, LangChain, RAG, AWS Bedrock. Customer success: Salesforce, Gainsight, Planhat, ChurnZero.
Protecht is headquartered in Sydney, New South Wales, Australia. The company also operates offices in Los Angeles and London and is actively hiring in Australia, the UK, the United States, and Syria.
Protecht'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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.