Aerosense AI.
AI drone automation — aircraft system & ground control platform

Problem, solution, and result.
A tighter story that reads like a real client case study.
Commercial drone operations require coordinated hardware, autonomy and a control surface that feels mission-grade.
A custom aircraft platform, an autonomy stack with AI navigation, and an aerospace-inspired ground control web application that gives operators total situational awareness.
Mission-grade autonomy · Real-time telemetry · Hardware + intelligent web stack
A system designed to last.
Edge-native, observable and built for compounding velocity.
What was actually built.
A useful snapshot of the product and system behind the case study.
Commercial drone operations require coordinated hardware, autonomy and a control surface that feels mission-grade.
A custom aircraft platform, an autonomy stack with AI navigation, and an aerospace-inspired ground control web application that gives operators total situational awareness.

A project-specific visual that anchors the story without relying on a generic category mockup.
- Autonomous mission planning
- Live telemetry & video
- AI navigation
- Aerospace-grade control UI
- Fleet management
- Geo-fencing
Crafted surface. Considered system.
Grouped so the product read feels intentional instead of crowded.
Core experience
- Autonomous mission planning
- Live telemetry & video
- AI navigation
Platform & systems
- Aerospace-grade control UI
- Fleet management
- Geo-fencing
Five movements. One outcome.
The work is easier to follow when each phase gets its own room.
Stakeholder interviews, market analysis, success metrics and a sharpened product thesis.
Information architecture, user journeys, technical constraints and a pragmatic roadmap.
Editorial visual system, motion language and prototype-driven product surface design.
Type-safe full-stack engineering with observability, performance budgets and CI from day one.
Phased rollout, telemetry, growth instrumentation and an always-on iteration cadence.
These are the actual technologies used in this project, not a curated shortlist.
Swarm coordination, computer vision payloads and beyond-line-of-sight ops.


