AI-powered GRC platform for enterprise risk management and compliance
LogicGate builds a no-code GRC platform anchored in AI workflows and real-time risk analytics. The tech stack—Salesforce, Okta, AWS/GCP, Neo4j, and Spring Boot microservices—reflects a mature, cloud-native architecture designed for enterprise scale. Hiring is sales-heavy (6 roles) with accelerating velocity, while the project mix reveals dual focus: Risk Cloud platform development and aggressive go-to-market expansion (executive dinners, roadshows, structured sales onboarding). Pain points center on implementation speed and win-rate improvement, signals of a scaling sales motion bumping against product delivery constraints.
LogicGate is a Chicago-based GRC platform founded in 2015, now serving mid-market and enterprise customers. The Risk Cloud product integrates governance, risk, and compliance workflows into a single operating system, with over 40 pre-built applications covering cyber risk, third-party management, ESG, and operational risk. The platform combines AI-driven automation with no-code configurability, allowing risk teams to adapt workflows to any environment without custom development. The company operates across 201–500 employees, with active hiring in the United States and United Kingdom, focusing on sales expansion and platform engineering.
LogicGate runs on Salesforce, Okta (identity), AWS/GCP (cloud), Spring Boot and Java (backend), Angular and TypeScript (frontend), Neo4j (graph database), PostgreSQL, and Redis. Infrastructure is managed via Terraform; testing uses Cypress and Jasmine.
Active projects include Risk Cloud platform development, customer onboarding and expansion implementations, sales onboarding programs, automated access review systems, front-end optimization, and go-to-market activities (executive dinners, industry conferences, opportunity registration).
LogicGate'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.