Meerir provides on‑demand airspace intelligence for low‑altitude aviation, delivering finished analyses such as corridor feasibility, site selection, and community readiness within days instead of months.
Funding
$3.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Low‑altitude aviation stakeholders—such as UAS operators, airport authorities, and city planners—must evaluate corridor feasibility, site suitability, and community impact, but existing airspace analyses are slow, fragmented, and often lack the decision‑grade rigor needed for regulatory approval and funding.
Solution
Meerir delivers on‑demand airspace intelligence through an AI platform that encodes decades of aviation judgment. The system ingests historical low‑altitude traffic, airspace classifications, and community data to generate finished analyses—including corridor feasibility, site selection, and community readiness—within days instead of months. Outputs are presented as heat‑map visualizations and risk assessments that are directly usable in briefing documents, regulatory filings, and funding proposals. By automating data integration and applying domain‑specific models, Meerir provides decision‑grade results that align with operational realities and policy requirements. The platform also offers an upcoming Airspace Risk Matrix to support insurance underwriting and a high‑risk area view for safety planning.
Target Audience
Primary customers are airport authorities, municipal and regional planners, UAS and advanced air mobility operators, and insurers that require fast, data‑backed airspace assessments for BVLOS and other low‑altitude operations.
Features
- AI‑driven analysis engine built by experienced airspace decision makers, ensuring domain‑specific accuracy
- Rapid turnaround of complete studies (corridor feasibility, site selection, community readiness) delivered in days
- Heat‑map visualizations that illustrate low‑flying aircraft corridors and airport improvement opportunities
- Community planning maps showing population density, critical infrastructure, and exposure risk
- High‑risk area visualizations derived from historic low‑altitude traffic data
- Upcoming Airspace Risk Matrix for quantitative insurance underwriting assessments
- Exportable reports formatted for regulatory, funding, and program‑readiness documentation