K-12 math platform with work-tracking and teacher insight tools
Magma Math operates a K-12 math platform designed to surface student reasoning and help teachers diagnose learning gaps. The tech stack reveals a data-forward product: Kinesis, Flink, and Prometheus power streaming ingest and observability, while Kubernetes and Terraform run the deployment layer—infrastructure maturity typically found in products processing high cardinality event data. Hiring is sales-heavy (8 open roles) and geographically distributed across US, UK, Sweden, Poland, and Germany, with active state-level go-to-market and adoption-strategy projects signaling expansion beyond early adopter districts.
Notable leadership hires: Product Lead
Magma Math is a K-12 math learning platform operating across the United States, United Kingdom, Sweden, and Germany. The product is built around two core principles: requiring students to show their work and enabling teachers to understand student thinking patterns. The company is 51–200 employees, based in New York, and currently executing district and state-level expansion strategies. Active work spans teacher experience redesign, district experience improvements, and region-specific commercial playbooks—reflecting a shift from product-led growth toward structured sales and adoption models in state education markets.
Magma Math uses AWS services (Kinesis, RDS, EKS), Apache Flink for stream processing, Kubernetes and Terraform for infrastructure, MongoDB and DocumentDB for data storage, and Prometheus + Grafana + Loki for observability and monitoring.
Magma Math operates in four countries: the United States, United Kingdom, Sweden, and Germany, with active expansion projects in Germany and state-level go-to-market strategies across US districts.
Magma Math'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.