DronePort Network
AI-Powered Airspace Intelligence for Cities, Airports, and Public Safety
- Conversational AI interface
- Real-time ADS-B data ingestion
- Geospatial filtering & radius queries
- Time-series aggregation & analytics
- API integration & orchestration
- Data visualization
- Secure, scalable cloud deployment
- AI/ML engineering
HATCHWORKS TEAM
Product Owner, AI/ML Engineer, Software Developer, Data Engineer, Project Manager
Overview
DronePort Network is piloting Meerir, an AI platform that turns low-altitude airspace telemetry into plain-English answers and simple visuals. The MVP connects a proprietary, real-time ADS-B feed to a large language model so airport managers, city planners, and the public can ask questions and get decision-ready metrics in seconds.
The Challenge
Below ~4,000 ft, the sky is busy—traditional aircraft, drones, and emergency ops. Data is fragmented, hard to access, and difficult to interpret without deep aviation expertise, which slows planning, grant work, and public-safety decisions. Stakeholders needed an accessible way to see “what’s flying overhead” and quantify activity around local airports.
The Outcome
- A functioning conversational AI interface powered by LLMs.
- Robust ADS-B ingestion and preprocessing for reliable analytics.
- Initial visuals focused on traffic density and airport operations.
- A scalable foundation for dashboards, new feeds, alerting, and expansion.
Decision-Ready Insights in Seconds
- Production MVP returning accurate, plain-language answers from live telemetry in seconds.
- Validated market need: early stakeholder feedback confirms commercial potential for communities and public-safety teams.
- Faster situational awareness for airport ops, planning support, and baseline analytics.
Key Stats
- 1,699 unique aircraft within 5 miles of TUL below 4,000 ft (last 30 days).
- Busiest hour: 17:00 (5 PM) with 283 unique aircraft within 5 miles of TUL below 3,000 ft (last 30 days).
- Avg. ground speed: 115.12 knots between 500–4,000 ft within 3 miles of TUL (last 60 days).
Guardrails (coordinates, uniqueness rules) increase reliability on time-series telemetry; natural-language access lowers barriers for non-experts and speeds insight. Next up: ship dashboards, integrate Remote ID and radar, expand to new geographies, pilot with airport managers/city officials/public-safety teams, and add alerting and report packs for grants and council updates.
Designed to make low-altitude airspace data understandable and usable by everyone… It’s not scraping the web—it’s pulling real-time ADS-B data and analyzing that.
Craig Mahaney
CEO, DronePort Network
About Anchor DronePort
DronePort Network is a national leader in autonomous systems integration and infrastructure development. The organization works closely with cities, states, tribal nations, and federal agencies to support the deployment of Beyond Visual Line of Sight (BVLOS) operations, drones as first responders (DFR), and emerging air mobility technologies. Through the Secure Autonomy Feedback and Evaluation Test Bed (SAFE-T) initiative and other groundbreaking projects, DronePort Network is creating the backbone for trustworthy, autonomous aviation ecosystems across the United States.
About HatchWorks AI
HatchWorks AI is a digital innovation firm that builds AI-powered products and platforms to drive smarter business outcomes. Its multidisciplinary team—engineers, data scientists, UI/UX designers, and product strategists—transforms visionary ideas into enterprise-grade software. Committed to delivering exceptional experiences, HatchWorks AI uses Agile methodologies, cloud infrastructure, and advanced technologies to help clients navigate digital disruption and stay competitive.
