endorsedCompleted

Meerir MVP: AI Airspace Decision-Support Platform

Services Covered:

AI and Machine Learning • Large Language Model (LLM) Development • Data Engineering

Industry

Aviation

Duration

3 months

Budget

200K - 999K

Start Date

1 June 2025

Team Size

1-5 Employees

Engagement Model

Onshore

Project Capability Score (PCS)

81/100

Strong

Project Capability Score (PCS) estimates how capable HatchWorks AI is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

DronePort Network

Oklahoma City, United States of America

Project Summary

HatchWorks AI designed, developed, and deployed the Meerir MVP for a commercial drone infrastructure company, ingesting ADS-B Exchange air traffic data and establishing data pipelines and a warehouse. The MVP integrates a large language model and chatbot interface to allow natural-language queries of air traffic data, and was managed via an agile delivery model with sprints and regular demos. The client praised the team's technical quality, responsiveness, and project management.

Key Challenges

Build an AI agent to analyze aviation data

Project Deliverables

Meerir MVP (production-ready)
Batch ingestion of ADS-B Exchange (Wingbits) air traffic data and data pipelines
Data warehouse and structured analytics layer
Large language model integration and chatbot interface for natural-language queries
Embedded visualizations returned with chatbot responses
Public-facing landing page and basic user management (sign-up, authentication)
Deployment to the client's GCP environment and QA/UAT

Project Solution

HatchWorks AI designed, developed, and deployed the Meerir MVP over a 16-week engagement. Work included ingesting and batch-processing ADS-B Exchange air traffic data across multiple geographies, establishing data pipelines and a warehouse, integrating a large language model to interpret natural-language queries, and building a chatbot that returns text responses with embedded visualizations. The scope also covered a public landing page, basic sign-up and authentication with single-role access, core data visualizations, QA and user acceptance testing, and production deployment to the client's GCP environment following a crawl-walk-run roadmap.

Project Outcome

Production-ready Meerir MVP hosted in GCP enabling natural-language queries of air traffic data
Wingbits ADSB data ingested via a stable batch process and structured in a data warehouse
Operational chatbot powered by a large language model that answers predefined questions with two to three embedded visualizations
Basic user management (sign-up, authentication) implemented and tested
All planned sprints completed with working features demonstrated; user acceptance testing confirmed functionality and performance

Platforms

Cloud
Web
AI/ML Platform

Tech Stack

Google Cloud Platform (GCP)

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“HatchWorks AI has delivered a production-ready Meerir MVP, enabling users to query air traffic data in natural language. The team has managed the project using a structured agile delivery model with clearly defined sprints. The client has praised the team's high level of technical quality.”
Craig Mahaney
CEO
Date: 08/13/2025