Case Study

Turning Complex Data into Clear Action for Every Student

Industry Education
Solution AI insights for better schools
Engagement Staff Augmentation
NPS 10/10

About Securly Discern

Securly Discern is an AI-powered product that generates insights aligned with school climate frameworks, student interests, MTSS, and social-emotional learning—so districts can act earlier with personalized plans.

The challenge

K-12 data is fragmented across systems and formats. Manual surveys are slow and unreliable, and lean IT teams struggle to turn data into timely interventions for wellness, safety, and academics.

The solution

Rocketeams partnered with Securly to engineer always-on data collection, analysis aligned to MTSS and SEL, and actionable reporting. The solution leveraged .NET Core, Angular, PostgreSQL, MongoDB, and AWS with serverless and microservices patterns for scale.

Outcomes

  1. Lower infrastructure cost and operational overhead with serverless patterns
  2. Microservices support growing users and data without performance cliffs
  3. Real-time, framework-aligned insights for faster district decisions
  4. Earlier intervention through personalized plans and aggregate reporting
Engagement length5 yrs
Team size6
Stack.NET Core, AWS

Technologies & focus

.NET Core MongoDB Angular PostgreSQL AWS MTSS / SEL