Intellum operates an AI-driven learning management system for enterprise brands, with a tech stack anchored in Ruby on Rails, Node.js, PostgreSQL, and MongoDB—a polyglot architecture suggesting modular service design. The company is actively investing in observability (SLOs, monitoring frameworks) and incident response (MTTR reduction, vulnerability automation), indicating operational maturity pressure as they scale platform reliability. Hiring velocity is accelerating across engineering, product, and marketing, with senior and director-level roles, suggesting both technical and go-to-market expansion.
Intellum builds an AI-powered LMS that helps mid-market and enterprise customers use education as a growth lever—increasing revenue through customer enablement and reducing support costs through self-service learning. Founded in 2000 and headquartered in Atlanta, the company operates with 51–200 employees, primarily in the United States. The platform supports custom and ready-made courseware, integrates with Salesforce for customer success workflows, and includes competitive intelligence and pricing strategy capabilities. Their stack spans cloud infrastructure (AWS, GCP) with containerization (Kubernetes, ECS) and observability tooling (New Relic, CloudWatch), reflecting a production-grade SaaS environment.
Ruby on Rails, Node.js, PostgreSQL, MongoDB, Redis, Elasticsearch, Kubernetes, AWS, and GCP. Observability relies on New Relic, CloudWatch, and Google Cloud Monitoring; deployment via Jenkins, Terraform, and Spinnaker.
Atlanta, Georgia. The company was founded in 2000 and is privately held with 51–200 employees, all hiring currently in the United States.
Intellum'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.