Mappedin Appoints Aaron Fullen as Chief Revenue Officer to Accelerate Growth of Indoor Intelligence Platform

Why It Matters

The hire signals Mappedin’s intent to monetize its location‑data layer, turning indoor maps into a core operating system for venues and unlocking a new revenue stream in the fast‑growing indoor‑intelligence market.

Key Takeaways

• Aaron Fullen hired as CRO following $24.5M Series B.
• Mappedin has mapped over 10 billion sq ft across 86 countries.
• Platform guides 450 million visitors annually, serving LAX and Simon malls.
• Shift from wayfinding to a venue operating system platform.
• Location intelligence to become revenue and cost‑saving engine for owners.

Pulse Analysis

The indoor‑mapping sector is moving from niche wayfinding tools to essential infrastructure for complex venues. Mappedin’s recent $24.5 million Series B, valued in the low‑hundreds of millions, reflects investor confidence that spatial data can power everything from guest experiences to security operations. With 10 billion square feet already digitized, the company sits at the forefront of a market projected to exceed $30 billion globally by 2030, as retailers, airports, and stadiums seek real‑time location intelligence.

Aaron Fullen’s appointment adds a proven revenue architect to Mappedin’s leadership. His track record of scaling AI‑enabled engagement platforms for brands like American Airlines and AT&T demonstrates an ability to translate technically sophisticated products into repeatable, high‑margin businesses. By installing a commercial engine that aligns product depth with market demand, Fullen is expected to accelerate enterprise adoption, shorten sales cycles, and expand the company’s addressable market beyond traditional wayfinding customers.

Looking ahead, Mappedin’s vision of a venue operating system could reshape how property owners manage space. By layering analytics, safety alerts, and third‑party integrations onto a unified map, the platform promises both cost savings and new revenue opportunities for owners. If successful, this model may spur broader adoption across real‑estate portfolios, creating a virtuous cycle of data collection and service monetization that could attract further private‑equity interest and set a benchmark for the indoor‑intelligence ecosystem.