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Beacon AI builds onboard AI systems that augment pilot decision-making in real-time flight operations. The tech stack—React, TypeScript, Python, Cesium, Mapbox, Core ML, and AWS—spans web dashboards, 3D geospatial visualization, and edge ML inference, grounded in aviation-grade security (CMMC, ISO 27001, NIST). Active projects cluster heavily around real-time data streaming, mission-critical mobile and backend services, and flight safety interfaces, revealing an organization scaling from prototype toward production deployment in highly regulated airspace.
Tech Stack 25 technologies
Core StackReact TypeScript JavaScript Python Node.js Swift SwiftUI AWS Ashby HTML/CSS Mapbox Cesium JavaScript/TypeScript UIKit Core Data MapKit Core ML SIEM NIST ISO 27001 CMMC LinkedIn Recruiter Google Workspace Google Docs Google Sheets
What Beacon AI Is Building
◆Challenges
- Real-time data streaming
- Building recruiting processes from scratch
- Multiple data sources
- Real-time media delivery
- High availability
- Scaling backend systems
- Scaling mission-critical mobile applications
- Delivering real-time mobile experiences
- Protecting mission-critical flight safety technology
- Meeting applicable security standards
▲Active Projects
- Flight safety web interface
- Technical hiring strategy
- Interview loop improvement
- Recruiting operations projects
- Reusable component library
- Flight safety platform backend
- Real-time data streaming for flight safety
- Backend services for mission-critical applications
- Mission-critical mobile applications for flight safety
- Real-time api integration for flight safety
Hiring Activity
10 roles · 5 in 30d
Department
Seniority
Company intelligence
