How AeroGraph WorksUnder the Hood.
This site is a product narrative + interactive demos. Below is the concrete architecture implied by the roadmap: the Knowledge Graph (AGKG), specialized agents, Visual-Inertial Calibration (VIC), Vertical Studio (multimodal RAG), and CenterOS.
AGKG: AeroGraph Knowledge Graph
The semantic layer that closes the “context gap”.
Connects Rider, Gear, Spot, Hazards, and Conditions into a single reasoning substrate.
Enables queries like: “Where can I kite safely this weekend within 50km?”
Supports probabilistic relationships (e.g., safe wind ranges depend on skill + gear).
Core entities
Rider • Gear • Spot • Condition • Hazard
Four Specialized Agents
Not a chatbot — a workflow system.
Meteorology Agent: synthesizes multiple models and reports uncertainty.
Guardian Agent: monitors safety signals and intervenes before danger arrives.
Operations Agent: auto-reschedules lessons and optimizes school utilization.
Vision Coach: uses video to provide objective technique feedback.
Operating mode
Continuous monitoring + task execution
VIC: Visual-Inertial Calibration (“Golden Jump”)
How we get from estimation to ground truth.
Use a single reference video to calibrate a user’s IMU bias/scale profile.
Align video and IMU via event-based synchronization (landing/impact cues).
Use pose/CoM tracking to eliminate board “woosting” artifacts.
Outcome
Persistent, device-specific correction profile
Vertical Studio: Multimodal Intelligence Layer
RAG + video understanding for gear + coaching.
Ground answers in manuals and verified references (reduce hallucinations).
“Ask My Gear” support: tuning, wind range, compatibility, maintenance.
Technique analysis: compare your attempt to reference clips and return actionable cues.
Key idea
Answers are sourced, not improvised
CenterOS: B2B Weather-Aware Operations
Scheduling + asset tracking + liability automation.
Weather-responsive scheduling (wind probability gates by skill level).
NFC asset tracking: “Carfax for kites” with certified flight logs.
Waiver and incident-report automation to reduce liability gaps.
Value
Less admin + higher utilization + higher resale recovery
Next step: turn demos into real systems
This repo currently demonstrates the product story. When you’re ready, we can add real data sources, a KG-backed API, and production-grade agent workflows.
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