Lirio builds a behavioral science and agentic AI platform designed to drive health outcomes through personalized digital interventions. The tech stack—AWS, Azure, Kafka, Kubernetes, Java, TypeScript—is cloud-native and event-driven, built for regulated healthcare. The project backlog reveals an engineering organization intensely focused on reliability and compliance: CI/CD quality gates, test strategy automation, SLOs with error budgets, and audit-ready release processes dominate the roadmap, alongside emerging work on LLM-based autonomous agents and integration boundaries for customer ecosystems.
Lirio operates a behavioral AI platform for digital health, targeting healthcare organizations and consumers. Founded in 2017 and based in Knoxville, Tennessee, the company uses proprietary "Precision Nudging" interventions—behavioral science techniques delivered through personalized digital experiences—to move people toward healthier actions. The platform is HITRUST CSF certified, SOC 2 Type II compliant, and NIST certified, reflecting the compliance posture required in regulated healthcare. Core technical surface spans cloud infrastructure (AWS, Azure, OCI), event streaming (Kafka), containerization (Kubernetes), and multi-language development (Java, TypeScript, Groovy). Lirio currently employs 51–200 people, with active hiring concentrated in engineering roles across the United States.
Lirio runs on AWS, Azure, and OCI, with Kafka for event streaming and Kubernetes for orchestration. Development spans Java, TypeScript, and Groovy. The platform also integrates Microsoft's Power Platform and Dynamics 365 ecosystem via Dataverse.
Engineering priorities center on reliability and compliance for regulated healthcare: CI/CD quality gates, automated test strategies, SLOs with error budgets, and audit-ready release processes. Active work also includes LLM-based autonomous agent design and customer ecosystem integration boundaries.
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