Leena AI builds AI Colleagues—agentic assistants deployed across back-office functions (IT, HR, Finance, Procurement) that integrate with 1000+ enterprise systems. The tech stack is enterprise-grade (Python, TypeScript, Kubernetes, AWS/Azure/GCP, GitLab CI/CD, Prometheus/Grafana) and reflects a company scaling toward production AI workloads. Active hiring across engineering, sales, and ops signals expansion in both product delivery and GTM; projects reveal dual focus on internal toil reduction (database cleanup, automation, reliability) and customer deployment velocity (AI Colleagues implementation and onboarding workflows).
Leena AI develops an agentic AI platform that enables employees to resolve requests and automate workflows across IT, HR, Finance, Procurement, and adjacent functions. Customers report 70% reduction in manually handled requests. The product integrates with leading enterprise systems (ServiceNow, SAP, Workday, UKG, Atlassian, Salesforce) and supports voice, Slack, Teams, and text interfaces. The platform is deployed across hundreds of enterprises globally and supports 100+ languages. Founded in 2018 and headquartered in San Francisco, Leena AI operates at 201–500 employees across the United States, India, and Canada.
Python, TypeScript, JavaScript, Kubernetes, AWS, Azure, GCP, Docker, Terraform, GitLab CI/CD, Jenkins, Prometheus, Grafana, Tempo, and Go. Backend systems integrated include Workday, ServiceNow, SAP, Salesforce, and Oracle.
Core product work includes AI Colleagues implementation and deployment, agentic workflow onboarding, and incident response. Operationally, focus areas are database cleanup, toil automation, production reliability, and pipeline analytics.
Leena AI'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.