Real-time assessment platform for K–12 instruction and student feedback
Formative delivers a standards-aligned assessment platform built on AWS (ECS, RDS, SQS) with Python, Postgres, and a modern data stack (BigQuery, dbt, Dagster, Prefect). The hiring pattern—balanced across engineering, data, product, and sales with mid-to-senior seniority—reflects a company scaling GTM and platform architecture simultaneously. Active projects span assessment content (standards-aligned items, Newsela bank expansion), operational data (attendance analytics, school operations integration), and infrastructure optimization, signaling a shift from pure instruction tooling toward a broader school operations and analytics platform.
Formative is a K–12 assessment and instruction platform that enables teachers to design activities, collect live student responses, and deliver instant feedback. The product centers on real-time formative assessment—designed to catch learning gaps before they compound—alongside collaborative features for sharing insights across departments and professional learning communities. Operating in Los Angeles with 51–200 employees, the company serves school districts through a SaaS model. The stack spans AWS infrastructure, Salesforce for GTM, Salesforce CPQ for billing, and a data foundation (BigQuery, dbt, Dagster, Tableau) that underpins both product analytics and school operations reporting.
Formative runs on AWS (ECS, RDS, SES, SQS), Python, Postgres, and MySQL for core infrastructure. Data pipelines use BigQuery, dbt, Dagster, and Prefect. GTM stack includes Salesforce, Salesforce CPQ, Greenhouse, Gong, and Salesloft. Observability: Datadog, Sentry, CloudWatch.
Projects span standards-aligned science assessments, Newsela item bank expansion, attendance analytics, family communication tools, AWS infrastructure optimization, school operations data integration, technology-enhanced item production, and data platform architecture to support scaled K–12 adoption.
Formative'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.