K-12 assessment platform with 100-year lineage in educational diagnostics
Riverside Insights operates a K-12 assessment business rooted in academic and clinical evaluation tools (Woodcock-Johnson, CogAT). The tech stack—AWS, Kubernetes, Python, Node.js, React, Tableau—reflects a modern SaaS transition, yet hiring is heavily weighted toward sales (6 of 10 active roles) and leadership over engineering (1 role), indicating a sales-led growth phase focused on district expansion rather than platform modernization.
Notable leadership hires: Partnership Executive Director, Product Director
Riverside Insights develops standardized assessments and data analytics tools for K-12 educators, districts, and school psychologists. The product suite includes both clinical diagnostics and classroom-level achievement measurement. The company operates a district-based sales model, with active projects focused on new district acquisition, converting pilot programs to district-wide deployments, and cross-selling product lines into existing customers. Infrastructure is cloud-native (AWS, Kubernetes), with ongoing work on CI/CD pipelines and operational runbooks. The organization spans 201–500 employees across sales, operations, engineering, and product functions.
Core infrastructure: AWS, Kubernetes, Terraform, CloudWatch, Datadog. Backend: Python, Node.js, .NET, C#. Frontend: React, TypeScript. Data: SQL Server, Oracle, Tableau. Sales/ops: HubSpot, Salesforce, Totango.
District acquisition and expansion (new logos, cross-sell, pilot-to-adoption conversion), persona-based selling model implementation, AI opportunity pilot, AWS infrastructure buildout, CI/CD pipelines, and operational runbook development.
Riverside Insights'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.