COI.
search Request for Consideration arrow_forward menu
close Submit Innovation
close
Insurance verified Verified Outcome TRL 9

Real-Time Telemetry Pricing for Commercial Drones

domain Client: Commercial Drone Fleets handshake Provider: Flock schedule Deploy: 2018-Present
89 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

Integration of real-time flight telemetry data to price insurance per-flight, factoring in hyper-local weather, route risk, and pilot behavior.

rate_review Analyst Verdict

"The definitive 'Pay-As-You-Fly' model. Essential for the drone economy where risks vary wildly based on *where* and *how* you fly (e.g., over a crowd vs. over a field)."

lock
Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Traditional aviation insurance offered flat annual premiums that were prohibitively expensive for gig-economy drone pilots or intermittent commercial operators. It did not distinguish between a risky flight (urban, windy) and a safe one (rural, calm), penalizing safe operators and stifling industry growth.

psychology The Solution

Built a dynamic pricing engine that integrates with drone software (e.g., DJI, planners). Before a flight, the operator enters the flight plan. The system analyzes geospatial data (buildings, ground hazards), real-time weather, and the pilot's historical safety score to generate an instant, flight-specific insurance quote. The policy covers that specific flight duration.

settings_suggest Technical & Deployment Specs

Integrations
Drone Flight Apps
Deployment Model
API / Mobile App
Data Classification
Telemetry / Geospatial
Estimated TCO / ROI
Variable (Per flight)
POC Summary (2018 to 2019)

"Started with pay-as-you-fly, expanded to fleets."

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Data Latency Medium Real-time API checks.
Connectivity Medium Pre-flight caching.

trending_up Impact Trajectory

Audited value realization curve

Pricing granularity down to the individual flight Verified Outcome
Primary KPIIntegration with major drone flight planners
Audit CycleReal-time risk feedback to pilots

policy Compliance & Gov

  • Standards: Civil Aviation Authority (CAA)
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Telemetry / Geospatial

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
lock
verified_user
Technical Audit
PDF • Audited
lock

Related Intelligence

article
Uncrewed Surface Vessels (USV) for Offshore Wind
View Outcome →
article
Autonomous Rebar Tying Robot
View Outcome →
article
Hydrofoil Racing Simulator (Digital Twin)
View Outcome →
Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for Commercial Drone Fleets without exposing sensitive IP or identities.

Private
lock_person

1. Raw Evidence

Audit ID: #PRIV-561
Evidence: Direct SQL Logs
Public
public

2. Verified Asset

Outcome: Verified
Ref ID: #COI-561

Strategic Action Center

Identify your current stage and take the next step.

rocket_launch
Replicate This Success
Want similar results? Request a deployment consultation.
psychology_alt
Submit Challenge
Have a different problem? Submit your problem statement.
publish
Publish Case Study
Submit your own verified evidence.
thumb_up
Verify Impact
Audit your existing solution.