AI-powered student safety and wellness platform for K-12 schools
Securly operates a unified cloud platform connecting student safety monitoring, wellness detection, and device management for K-12 districts. The hiring mix is heavily sales-driven (13 of 29 active roles), paired with a backlog of proposal-automation and data-integrity work—indicating rapid deal volume growth outpacing internal operations. The engineering team is shifting from C++ to Rust, suggesting a modernization push toward systems that can handle real-time monitoring at scale.
Securly builds a cloud-native platform that integrates web filtering, AI-powered threat detection, mental-wellness monitoring, and device management into a single system for K-12 schools. The company serves school districts across the United States with a focus on transparency and responsible AI in student safety workflows. Core capabilities include early identification of at-risk students, campus safety coordination, classroom engagement tools, and compliance reporting (CIPA, data privacy). Operations span sales, customer success, and technical support, with active scaling across proposal workflows and data synchronization between Salesforce and customer instances.
Securly runs on AWS (CloudFormation, CloudWatch, Auto Scaling, Route 53, Network Load Balancer) with Salesforce and Gainsight for CRM/CS, TypeScript and JavaScript for front-end, Go and Rust for backend services, Redis for caching, and Splunk for observability. The company is adopting Rust and migrating away from C++.
Current projects include automated and repeatable proposal management systems to scale sales operations, ongoing data cleansing and syncs between Salesforce and district systems, local policy caching for performance, and scalable onboarding, renewal, and expansion workflows.
Securly'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.