aerial robotics for a resilient future

Protecting Europe's ecosystems and communities through early prevention and swift response.

White Paper on Autonomous Aerial Intelligence, by nomadium robotics

🌎 Mission: To strengthen communities and businesses through an on-demand Autonomous Aerial Intelligence network for routine inspections and swift response.
🚀 Strategy: Start with (1) high-margin drone sales, (2) reinvest in autonomous infrastructure, then (3) scale into a service-led model and (4) monetize the network’s aerial data through a digital twin model.

Stage 1 – TerraHawk: Large-Scale Mapping and inspections

🌐 Enter the professional drone market by offering a survey-grade photogrammetry UAV that outperforms incumbents on a performance-per-dollar basis by a factor of two.

Problem

  • Traditional survey-grade drones are costly and inaccessible for SMEs and freelance professionals (the majority of the market).

Execution

  • Launch TerraHawk, a C2 & C6-certified UAV with 3–4 hour endurance and modular payloads (photogrammetry cameras, AI sensors).
  • Proprietary 3D-printed airframes and direct-to-customer distribution reduce system cost by ~50% versus comparable platforms (Wingtra, eBee X, Trinity).
  • Initial focus on price-sensitive regions such as the Balkans, addressing a €7.5–15M serviceable market.

Market Opportunity

  • Global drone mapping market: USD 1.3B in 2025, growing at 17% CAGR to 2035.
  • Europe’s 3D mapping & modelling market: USD 2.96B (2024)USD 9.81B by 2033.
  • Demand driven by land surveying, construction, agriculture, and environmental monitoring.

Outcome

  • Early sales generate cash flow and real-world feedback while validating engineering.
  • Profits fund autonomous infrastructure development in Stage 2.

Stage 2 – terrapod: Fully Autonomous Inspection

🔍 Transition from drone sales to subscription-driven infrastructure by delivering fully autonomous inspection drones housed in "TerraPod" Robo-Hangars, eliminating the need for licensed pilots.

Problem

  • Critical infrastructure requires frequent inspections, but reliance on pilots and helicopters makes this expensive, slow, and risky.

Execution

  • Package Pathfinder drones into automated hangars that charge, shelter, and dispatch UAVs autonomously.
  • Sell or lease systems to utilities, telecoms, mining, solar, and agricultural operators.
  • Customers pay upfront for hardware and subscribe for software, BVLOS compliance, insurance, and remote operations.
  • TerraHawk profits fund BVLOS approvals and product maturation.

Market Opportunity

  • Drone inspection & monitoring market: USD 13.48B (2024)USD 31.1B by 2029.
  • Inspection drones market: USD 11.75B in 2025, 21.6% CAGR to 2030.
  • EU BVLOS and U-Space regulations are maturing and expected to enable scalable operations by Stage 2.

Outcome

  • Converts one-time hardware buyers into recurring-revenue clients.
  • Each Robo-Hangar becomes a node enabling the on-demand network in Stage 3.

Stage 3 – FarSight: On-Demand Aerial data platform

🌐 Deploy Robo-Hangars into an “Uber for aerial intelligence”—delivering on-demand mapping, inspection, search & rescue, and environmental monitoring without customer CAPEX.

Problem

  • Many organizations need aerial data occasionally but cannot justify owning and operating fleets.

Execution

  • Customers define area, urgency, and mission via a web interface.
  • The nearest hangar dispatches a drone automatically.
  • Dynamic pricing reflects urgency; missions are logged and paid via subscription or per-mission fees.
  • Initial rollout in BVLOS-approved regions with supportive airspace frameworks.
  • Each hangar may function as an investment node with smart-contract revenue sharing (KYC increases overhead).

Market Opportunity

  • Commercial drone services market: USD 7.62B (2025)USD 30.3B by 2035.
  • Drone-as-a-Service: USD 6.3B (2024)USD 27.3B by 2033.
  • Service layers consistently outpace hardware growth due to abstraction of ownership.

Outcome

  • Generates annuity-like revenue and strong network effects.
  • Every new hangar improves coverage, response time, and defensibility.

Stage 4 – Digital Twin Network Effect

🇪🇺 Achieve EU-wide coverage while transforming network-generated data into a high-margin revenue stream.

Problem

  • Fragmented and inconsistent aerial data limits planning, resilience, and environmental stewardship.

Execution

  • Scale Robo-Hangars across Europe aligned with EASA U-Space and BVLOS frameworks.
  • Use decentralized funding (e.g., tokenized ownership) to accelerate deployment.
  • Systematically collect, process, anonymize, and index imagery and sensor data from every mission.

Market Opportunity

  • Europe 3D mapping & modelling: USD 9.81B by 2033.
  • Geospatial analytics: USD 114.32B (2024)USD 226.53B by 2030.
  • Digital twin technologies: USD 21.14B (2025)USD 149.81B by 2030.

Outcome

  • Each new hangar compounds both service revenue and proprietary data value.
  • Data monetized via APIs and analytics platforms becomes a defensible, high-margin business line.

A Vision for Impact

Our roadmap is more than a business plan—it’s a commitment to a future where the sky serves society. By democratizing access to high-quality aerial intelligence, we empower communities, governments, and businesses to prevent disasters, optimize infrastructure, and steward natural resources.

Every flight can help a farmer reduce water use, a utility prevent outages, or a rescue team save lives. As the network grows, so does our ability to monitor forests, detect pollution, and map climate-affected regions—forming a living digital twin of our environment.

Technology, transparency, and purpose together can build a safer, cleaner, and more equitable world.

George Petrov, Founder

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